PLANET SICK-BOY: http://www.sick-boy.com
Let's see – a period piece about cannibalism with no bankable stars, filmed almost entirely in Slovakia and the Czech Republic by an arthouse director (Antonia Bird, Priest) - I could see why Fox would bankroll a project like that. The film is set in pre-Civil war America, where Capt. John Boyd (Guy Pearce, L.A. Confidential) has just been honored by his commanding officer for infiltrating enemy lines during the Mexican-American war.
Boyd is assigned to Fort Spencer, which is located in the Sierra Nevada mountains of California. Upon his arrival, he finds a wacky group of soldiers – a drunk, a Bible-thumper, a pot-head, a hot-head, two Indians and Ferris Bueller's principal.  Intent on bringing this savage to justice, the military men set out to find his cave…but is the stranger's story true or is it all just a trick to lead them into a big, black pot filled with onions and carrots?
Pearce is fantastic, despite having few lines, and comes off as a cross between Dead Man Johnny Depp and Legends of the Fall Brad Pitt. Carlyle really sinks his teeth into his meaty role, making a real meal of it (sorry). Ravenous also features both breathtaking views and a creepy score from Michael Nyman (Gattaca, The Piano), but is definitely not for the faint of heart. (R – 1:40 for extreme violence, gore, adult language and cannibalism)
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All 'Produce 101' seasons cancel VOD service
by jennywill'Produce 101' will no longer be able to be rewatched.
All four seasons are no longer available on either Mnet or TVING, meaning Korean fans will no longer be able to watch the episodes. Byungchan had actually warned fans that this was happening, as he told fans at a fansigning that all the 'Produce 101' fancams were going to be taken down.
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Language: Node Definitions
A node definition or node statement is a block of Puppet code that will only be included in one node’s catalog. This feature allows you to assign specific configurations to specific nodes.
Node statements are an optional feature of Puppet. They can be replaced by or combined with an external node classifier, or you can eschew both and use conditional statements with facts to classify nodes.
Unlike more general conditional structures, node statements only match nodes by name. By default, the name of a node is its certname (which defaults to the node’s fully qualified domain name).
Location
Node definitions should go in the site manifest (site.pp).
Alternately, you can store node definitions in any number of manifest files which are imported into site.pp:
# /etc/puppetlabs/puppet/manifests/site.pp
# Import every file in /etc/puppetlabs/puppet/manifests/nodes/
# (Usually, each file contains one node definition.)
import 'nodes/*.pp'
# Import several nodes from a single file
import 'extra_nodes.pp'
This is one of the only recommended use cases for import
. Note that using import
will require you to restart the puppet master if you change the node manifests and that importing many files will slow down Puppet’s compilation time. See the documentation of import
for details.
Node statements should never be put in modules. The behavior of a node statement in an autoloaded manifest is undefined.
Syntax
# /etc/puppetlabs/puppet/manifests/site.pp
node 'www1.example.com' {
include common
include apache
include squid
}
node 'db1.example.com' {
include common
include mysql
}
In the example above, only www1.example.com
would receive the apache and squid classes, and only db1.example.com
would receive the mysql class.
Node definitions look like class definitions. The general form of a node definition is:
- The
node
keyword - The name(s) of the node(s)
- Optionally, the
inherits
keyword followed by the name of another node definition - An opening curly brace
- Any mixture of class declarations, variables, resource declarations, collectors, conditional statements, chaining relationships, and functions
- A closing curly brace
Aside: Best Practices
Although node statements can contain almost any Puppet code, we recommend that you only use them to set variables and declare classes. Avoid using resource declarations, collectors, conditional statements, chaining relationships, and functions in them; all of these belong in classes or defined types.
This will make it easier to switch between node definitions and an ENC.
Naming
Node statements match nodes by name. A node’s name is its unique identifier; by default, this is its certname setting, which in turn resolves to the node’s fully qualified domain name.
Notes on Node Names
- The set of characters allowed in a node name is undefined in this version of Puppet. For best future compatibility, you should limit node names to letters, numbers, periods, underscores, and dashes.
- Although it is possible to configure Puppet to use something other than the certname as a node name, this is not generally recommended.
A node statement’s name must be one of the following:
- A quoted string
- The bare word
default
- A regular expression
You may not create two node statements with the same name.
Multiple Names
You can use a comma-separated list of names to create a group of nodes with a single node statement:
node 'www1.example.com', 'www2.example.com', 'www3.example.com' {
include common
include apache, squid
}
This example creates three identical nodes: www1.example.com
, www2.example.com
, and www3.example.com
.
The Default Node
The name default
(without quotes) is a special value for node names. If no node statement matching a given node can be found, the default
node will be used. See Behavior below.
Regular Expression Names
Regular expressions (regexes) can be used as node names. This is another method for writing a single node statement that matches multiple nodes.
node /^www\d+$/ {
include common
}
The above example would match www1
, www13
, and any other node whose name consisted of www
and one or more
digits.
node /^(foo|bar)\.example\.com$/ {
include common
}
The above example would match foo.example.com
and bar.example.com
, but no other nodes.
Make sure that node regexes do not overlap. If more than one regex statement matches a given node, the one it gets will be parse-order dependent.
No Regex Capture Variables
Regular expression node names do not use numbered variables to expose captures from the pattern inside the node definition. This differs from the behavior of conditional statements that use regexes.
Behavior
If site.pp contains at least one node definition, it must have one for every node; compilation for a node will fail if one cannot be found. (Hence the usefulness of the default
node.) If site.pp contains no node definitions, this requirement is dropped.
Matching
A given node will only get the contents of one node definition, even if two node statements could match a node’s name. Puppet will do the following checks in order when deciding which definition to use:
- If there is a node definition with the node’s exact name, Puppet will use it.
- If there is at least one regular expression node statement that matches the node’s whole name, Puppet will use the first one it finds.
- If the node’s name looks like a fully qualified domain name (i.e. multiple period-separated groups of letters, numbers, underscores and dashes), Puppet will chop off the final group and start again at step 1. (That is, if a definition for
www01.example.com
isn’t found, Puppet will look for a definition matchingwww01.example
.) - Puppet will use the
default
node.
Thus, for the node www01.example.com
, Puppet would try the following, in order:
www01.example.com
- The first regex matching
www01.example.com
www01.example
- The first regex matching
www01.example
www01
- The first regex matching
www01
default
You can turn off this fuzzy name matching by changing the puppet master’s strict_hostname_checking
setting to true
. This will cause Puppet to skip step 3 and only use the node’s full name before resorting to default
.
Code Outside Node Statements
Puppet code that is outside any node statement will be compiled for every node. That is, a given node will get both the code in its node definition and the code outside any node definition.
Node Scope
Node definitions create a new anonymous scope that can override variables and defaults from top scope. See the section on node scope for details.
Merging With ENC Data
Node definitions and external node classifiers can co-exist. Puppet merges their data as follows:
- Variables from an ENC are set at top scope and can thus be overridden by variables in a node definition.
- Classes from an ENC are declared at node scope, which means they will be affected by any variables set in the node definition.
Although ENCs and node definitions can work together, we recommend that most users pick one or the other.
Inheritance
Nodes can inherit from other nodes using the inherits
keyword. Inheritance works identically to class inheritance. This feature is not recommended; see the aside below.
Example:
node 'common' {
$ntpserver = 'time.example.com'
include common
}
node 'www1.example.com' inherits 'common' {
include ntp
include apache
include squid
}
In the above example, www1.example.com
would receive the common, ntp, apache,
and squid
classes, and would have an $ntpserver
of time.example.com
.
Aside: Best Practices
You should almost certainly avoid using node inheritance. Many users attempt to do the following:
node 'common' {
$ntpserver = 'time.example.com'
include common
include ntp
}
node 'www01.example.com' inherits 'common' {
# Override default NTP server:
$ntpserver = '0.pool.ntp.org'
}
This will have the opposite of the intended effect, because Puppet treats node definitions like classes. It does not mash the two together and then compile the mix; instead, it compiles the base class, then compiles the derived class, which gets a parent scope and special permission to modify resource attributes from the base class.
In the example above, this means that by the time
node www01.example.com
has set its own value for$ntpserver
, thentp
class has already received the value it needed and is no longer interested in that variable. For the derived node to override that variable for classes in the base node, it would have to be complied before the base node, and there is no way for Puppet’s current implementation to do that.Alternatives to Node Inheritance
TODO Link to hiera guides
- Most users who need hierarchical data should keep it in an external source and have their manifests look it up. The best solution right now is Hiera, which is available by default in Puppet 3 and later. See our Hiera guides for more information about using it.
- ENCs can look up data from any arbitrary source, and return it to Puppet as top-scope variables.
- If you have node-specific data in an external CMDB, you can easily write custom Puppet functions to query it.
- For very small numbers of nodes, you can copy and paste to make complete node definitions for special-case nodes.
- With discipline, you can use node inheritance only for data lookup. The safest approach is to only set variables in the base nodes, then declare all classes in the derived nodes. This is less terse than the mix-and-match that most users try first, but is completely reliable.


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Event Location:
Microsoft Romania
Piața Presei Libere nr. 3-5 Clădirea City Gate Turnul de Sud, Etaj 2
București, Bucureşti, Romania
Abstract:
Do you plan to start monitoring your SQL Server instances soon and asking yourself what should you measure? Are you questioning if your existing monitoring data can detect and alert if a performance problem occurs? Is the data you collected from monitoring enough to pinpoint the cause of your next performance problem? I have worked with SQL Server as a developer in the Redmond team for more than 12 years and during this time I've investigated countless performance problems. In time I developed a strategy on how to use the performance monitoring data to analyze problems and identify the root cause. This session is going to to show you how I monitor SQL Server, what data do I look for, and how I interpret the collected data to analyze performance issues. Going beside the obvious CPU, Memory and IO counters, I will show you how to identify typical performance issues from monitoring data, all without overwhelming the captured data volume.
Speaker(s): Remus Rusanu,
Abstract:
2,4,8 16 - these aren't just numbers to count or calculate. These are years that how SQL Server evolved as number of years! Why Upgrade? Data Platform Upgrade topic has been a popular session that I've presented in major conferences like Microsoft Tech-Ed (North America, Europe India) and SQLbits since 2008. In this session, we will overview in depth end-to-end upgrade process that covers the essential phases, steps and issues involved in upgrading SQL Server (2000 to 2012), SQL Server 2014 (with a good overview on 2016 too) by using best practices and available resources. What to-do and what not-to-do? A popular session that I have been presenting since the year 2008, in MS Tech-Ed, SQL Saturday SQLbits UK. We will cover the complete upgrade cycle, including the preparation tasks, upgrade tasks, and post-upgrade tasks. Real-world examples from my Consulting experience expanding on why how such a solution.
Speaker(s): Satya Jayanty,
Abstract:
It's often difficult to choose a high-availability solution and to build your applications around it, Come join me in a session focused on AlwaysOn Availability Groups - how they actually work, how to get the most of them, learn the benefits they provide and the limitations they have. Or at least put a DB Administrator on the interrogation table.
Speaker(s): Kaloyan Kosev,
Abstract:
The SQL Server Query Store is one of the most known features of SQL Server 2016 that provides insight on query plan choice and performance. It simplifies performance troubleshooting by enabling you to quickly find performance differences caused by changes in query plans. However in this session we will explore not just Query Store but also additional features that allow performance troubleshooting in SQL Server 2016.
Speaker(s): Cristian Lefter,
Abstract:
What are these DATA Scientists up to? How can we see their statistical model in our day to day familiar tool like Microsoft SQL Server? You now have answers to these questions and thanks to Microsoft for integrating R Revolution within new SQL Server 2016. We all now have the opportunity to use R packages and see the results within SQL 2016. In this session, you will definitely take away a breakthrough concept of Advanced R Analytics within SQL 2016 and get ready to kick your creative horse, and go beyond your imagination on how you can build advanced analytics and impress your employers/customers.
Speaker(s): Dr. Subramani Paramasivam,
Abstract:
New Security Features and Best Practices with SQL Server 2016 The session will cover Dynamic Data Masking, Row Level Security, Always Encrypted, Cell Level Security
Speaker(s): Alexandra Ciortea,
Abstract:
How to capture execution plans and how to read an execution plan. Quick overview of the most encountered operators. What kind of informations you can find in an execution plan and what conclusions can you draw by looking at this information. How to takle a bad plan - patterns to look out for.
Speaker(s): Liviu Ieran,
Abstract:
While Microsoft Azure SQL Database can be an option for moving our databases to the cloud, as DBAs we still want to have full control on the SQL Server instances and on the resources we have available, so moving our databases to a SQL Server Azure VM is the way to go. Let's have a look at what the Azure IaaS has to offer when it comes to migrating the SQL Server to the cloud and what are some of the best practices when you decide to do so, while touching both on the pros and cons of such a decision. We will be covering the details of setting up a SQL Server Azure VM, emphasizing what are the requirements for a highly available and high performance system.
Speaker(s): Cezar Ionescu,
Abstract:
It won’t be long before we host the majority of our data, compute power, reporting, and BI visualizations in the cloud, but we’re not all there quite yet. In this presentation, we will discuss ONLY those options that are available on-premises, covering functionality differences between Power BI and Power BI Desktop as well as the critical integration of .pbix dashboards and visualizations with other enterprise reporting and collaboration tools, such as SharePoint, PowerPoint, Excel, and SQL Server Reporting Services. We’ll also highlight the Microsoft BI roadmap for SQL Server 2016, SSRS, Power BI, Mobile Reports, and what it means specifically for on-premise customers.
Speaker(s): Sam Lester,
Abstract:
Another in TheSQLGuru's Deep Dive series! Query plans - the roadmaps of how your query will be handled by the engine. TONs of information for the asute SQL Server user. Lets dig into them and see what we can learn from and about them and also talk about how they can be used to aid our query tuning efforts.
Speaker(s): Kevin Boles,
Abstract:
This talk is a parallel, between IoT solutions, based on premise and systems, build with Microsoft Azure components. The presentation will cover the architecture, technology stack, implementation and best practices. We will consider plusses and deltas in different cases, using both approaches. You will see also many demos, which will help you to build own cloud based or on premises Internet of Things systems.
Speaker(s): Catalin Gheorghiu,
Abstract:
Have you ever wondered how you can improve your productivity while using Sql Serve Management Studio? I would like to share with you some tips tricks I discovered along my ride with Sql Server and also present you a few free 3rd party tools from Sql Server ecosystem that will help you increase your speed and improve your development experience.
Speaker(s): Bogdan Curca,
Abstract:
Roadmaps for SQL Server consolidation and version upgrade. Consolidation options covered include: multi-database single-instance servers, multi-instance on one or more physical servers, and finally reduction of physical servers through virtualization (Hyper-V) or cloud based technologies.
Speaker(s): Andrada Nastasie,
Abstract:
Temporal Tables is a new feature in SQL Server 2016, that allows to see the data (in one or more tables) exactly as they were in a point of time ago. In this session will be shown the most useful scenarios: 1) Recovering from an undesired data change 2) Auditing efects 3) Trending Analytics
Speaker(s): LEONEL ABREU,
This is a list of speakers from the XML Guidebook records. The details and URLs were valid at the time of the event.
LinkedIn: https://www.linkedin.com/in/cristianlefter
Cristian Lefter is Principal of Esential Training and one of the SQL Server MVPs. His primary competence is training. He is also a consultant, author, speaker and community leader. As his main expertise is Microsoft SQL Server, which resulted in founding an official PASS chapter, writing books and articles, contributing at the development of Microsoft Official Courseware, authoring certification exams, speaking at technical events and working as a Subject Matter Expert in various projects.
LinkedIn: https://uk.linkedin.com/sqlmaster
Contact: http://www.sqlserver-qa.net
My experience surrounded with high focus on the data platform with a track record of defining strategy, designing and delivering digital transformation migrations with major enhancements to current working methods. Worked in a capacity of Head of Data Engineering, Enterprise Data Architect and Solutions Key career accomplishment recognition as an industry expert technical excellence from the Microsoft as Data Platform Most Valuable Professional (MVP) recognition since the year 2006 (13 years as MVP and counting), which recognizes exceptional technical community leaders worldwide who actively deliver, present share their extraordinary contributions, high quality, and real-world expertise. Twitter pod (http://twitter.com/sqlmast
LinkedIn: https://bg.linkedin.com/in/kosev
Kaloyan Kosev is a SQL Server expert working with enterprise companies for the last 9 years. His daily work routine is a mixture of troubleshooting bugs and issues, consulting and advising clients and presenting to students. Within his free time he is trying to balance between SQL and x-sports.
My journey in the database world started back in high school, when I first got my hands on a FoxPro book. Since then, I worked with different RDBMS systems and finally settled for SQL Server back in 2008, when I also joined Microsoft as an intern in the SQL Server Support team. In the years that followed, I#39;ve improved my skills and managed to develop into a Technical Lead for SQL Server, which allowed me to explore SQL Server from different angles. Apart from the support work, I had the opportunity to have onsite engagements and also do consultancy work on different topics ranging from performance to high availability solutions. Since 2015 I am a MCSA, currently working my way to the MCSE certification.
LinkedIn: ?https://ro.linkedin.com/in/catalingheorghiu?
Contact: http://ronua.ro/author/catalin/
Catalin Gheorghiu is a solution architect from Romania. He has more than 15 years of experience in developing solutions, especially on Microsoft technologies in very demanding environments. Is contributing articles and blogs to several user groups (MrSmersh), lecturing all over Romania and abroad, is also RONUA Timisoara (PASS Chapter) user group leader. Since 2011, every year he was awarded the Microsoft MVP Award.
2005-2009 Computer Science - Polytechnic University of Bucharest 2009-2011 - Master -IT Management - Polytechnic University of Bucharest I started working for Microsoft in 2009 as a Support Engineer for Project Server and SQL Server for EMEA. In 2012 I changed to a Premier Field Engineer position working onsite for SQL Server and Project Server
LinkedIn: https://www.linkedin.com/in/abreulj/
An IT Pro who likes to play chess and baseball. System Engineer degree since 2007, formerly Data Warehousing teacher at university levels from 2008 to 2009. Microsoft Student Partner during the years 2006 - 2007, Second Place in Microsoft Andean Imagine Cup (2006), MCTS, MCITP and MCP with over a decade of experience with SQL Server, working in BI, DBA, Database Development, .net Development, SharePoint and other several areas. Since 2014 based in Barcelona, Spain. Learning enthusiast and always with passion for new technologies and new challenges.
LinkedIn: https://linkedin.com/in/remusrusanu
Contact: http://rusanu.com
Remus Rusanu is a former SQL Server team member. For 12 years he worked on such features as Service Broker, Columnstore Indexes, Query Store and many more. In April 2016 he left Microsoft to found DBHistory.com, a simplified SQL Server monitoring and auditing product.
Contact: http://blogs.msdn.com/b/samlester
Sam Lester has spent the past 14 years working for Microsoft in various SQL Server related roles. After nearly 12 years working in the SQL Server development team in Redmond, WA, he has recently made the switch to a consulting role to work hands-on with European customers. While in the product group, Sam worked on numerous features including setup, migration, SSMS/manageability, Utility Control Point, Data-Tier Application Component, SSDT, Intellisense, amp; TSQL Debugger.
LinkedIn: https://ro.linkedin.com/in/bogdancurca
Bogdan Curcă graduated the Faculty of Cybernetics, Statistics and Economic Informatics and a Master program oriented on ERPs (SIMPRE). He is a techno - functional IT professional with experience on ERP and Business Intelligence systems. On the last 8 years, he has been implementing Business Intelligence solutions using all range of BI functionalities from Microsoft Sql Server, having a strong focus on understanding the business needs and trying to deliver systems that are actually used as a decisional support. He is passionate about technology and while he’s not in front of a computer, he likes travelling, listening to good music and playing ping pong. You can write him at bcurca (at) gmail (dot) com
LinkedIn: https://www.linkedin.com/in/IeranLiviu
More than 9 years of SQL Server experience working for Microsoft currently as a Support Escalation Engineer. My main area of expertise is SQL Server Performance where I helped optimize numerous query's and environments.
LinkedIn: http://www.linkedin.com/in/thesqlguru
Kevin Boles is a SQL Server expert, working exclusively with the product since v6.5. With over 25 years of database experience and over 45,000 man hours of SQL Server engine experience, he holds many related certifications, is an MCT and was a SQL Server MVP from 2007 to 2012. Kevin has been a very successful independent consultant for over 20 years. His passion is the relational engine, especially designing, building, analyzing and tuning high-performance database applications.
LinkedIn: http://uk.linkedin.com/in/dageop
Contact: http://www.yoursqlman.com/index.php/blogs
Dr.SubraMANI Paramasivam is a Microsoft MVP, PhD, Microsoft Certified Trainer and Head of Data AI at DAGEOP Ltd having 21 years of DB, BI, Analytics and AI experience. Mani has also spoken in various events like MS IGNITE, PASS Summit, MS Inspire, SQLBITS, Power Platform Summit, Global AI Bootcamp, Data BI Summit, SQLRelay, Power BI World Tour, Data Platform Summit, INSIDESQL UK, Global AI Nights, SQLServerGeeks Summit, MCT Global Summits, Data Day Events and various user group events. Mani also believes in Empowering Every Person in the planet and spreads the awareness on Global challenges via www.EmpoweringEveryPerson.com. He is also a co-owner of 1 Global AI Meetup and 3 Power BI PUG PASS local / user groups.
I am working for Microsoft Romania as a Premier Field Engineer since September 2015. My areas of interest are SQL Server High Availability solutions, Security and Configuration. Before Microsoft, I worked as a Database Administrator for 2 years in the banking environment. I studied Computer Science at the Polytechnic University of Bucharest.
LinkedIn: http://www.linkedin.com/in/thesqlguru
Kevin Boles is a SQL Server expert, working exclusively with the product since v6.5. With over 25 years of database experience and over 45,000 man hours of SQL Server engine experience, he holds many related certifications, is an MCT and was a SQL Server MVP from 2007 to 2012. Kevin has been a very successful independent consultant for over 20 years. His passion is the relational engine, especially designing, building, analyzing and tuning high-performance database applications.
The following is a list of sponsors that helped fund the event.


This page has:
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Three inline <style> blocks:
- 0 rules & 0 selectors
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- 1 rule & 5 selectors
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- 5 rules & 50 selectors
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Two linked stylesheets in an IE-only conditional:
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This text only displays in IE and will have a purple background if there are too many rules
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CSS HOME
CSS Introduction
CSS Syntax
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CSS How To
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CSS Colors
CSS Backgrounds
Background Color
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Background Repeat
Background Attachment
Background Shorthand
CSS Borders
CSS Margin
CSS Padding
CSS Height/Width
CSS Box Model
CSS Outline
CSS Text
CSS Fonts
CSS Icons
CSS Links
The CSS background properties are used to add background effects for the elements.
In these chapters, you will learn about the following CSS background properties:
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--- ---
Given a property name and a value, returns a function that returns a boolean based on whether the passed object has a property that matches the value let obj = { foo: 1, name: "blarg" }; let getName = propEq("name", "blarg"); getName(obj) === true
Check if all the elements of an array match a predicate function
Check if all the elements of an array match a predicate function
a predicate function fn1
a function which takes an array and returns true if fn1
is true for all elements of the array
Given two functions that return truthy or falsey values, returns a function that returns truthy if both functions return truthy for the given arguments
Given a varargs list of functions, returns a function that composes the argument functions, right-to-left given: f(x), g(x), h(x) let composed = compose(f,g,h) then, composed is: f(g(h(x)))
Given a varargs list of functions, returns a function that composes the argument functions, right-to-left given: f(x), g(x), h(x) let composed = compose(f,g,h) then, composed is: f(g(h(x)))
Returns a new function for Partial Application of the original function.
Returns a new function for Partial Application of the original function.
Given a function with N parameters, returns a new function that supports partial application. The new function accepts anywhere from 1 to N parameters. When that function is called with M parameters, where M is less than N, it returns a new function that accepts the remaining parameters. It continues to accept more parameters until all N parameters have been supplied.
This contrived example uses a partially applied function as an predicate, which returns true if an object is found in both arrays.
Given a value, returns a Predicate function that returns true if another value is === equal to the original value
Given a value, returns a Predicate function that returns true if another value is === equal to the original value
Given a class, returns a Predicate function that returns true if the object is of that class
Given a class, returns a Predicate function that returns true if the object is of that class
Given a function that returns a truthy or falsey value, returns a function that returns the opposite (falsey or truthy) value given the same inputs
Given a function that returns a truthy or falsey value, returns a function that returns the opposite (falsey or truthy) value given the same inputs
Given two functions that return truthy or falsey values, returns a function that returns truthy if at least one of the functions returns truthy for the given arguments
Given a dotted property name, returns a function that returns a nested property from an object, or undefined let obj = { id: 1, nestedObj: { foo: 1, name: "blarg" }, }; let getName = prop("nestedObj.name"); getName(obj) === "blarg" let propNotFound = prop("this.property.doesnt.exist"); propNotFound(obj) === undefined
Given a dotted property name, returns a function that returns a nested property from an object, or undefined let obj = { id: 1, nestedObj: { foo: 1, name: "blarg" }, }; let getName = prop("nestedObj.name"); getName(obj) === "blarg" let propNotFound = prop("this.property.doesnt.exist"); propNotFound(obj) === undefined
Sorta like Pattern Matching (a functional programming conditional construct)
Sorta like Pattern Matching (a functional programming conditional construct)
See http://c2.com/cgi/wiki?PatternMatching
This is a conditional construct which allows a series of predicates and output functions to be checked and then applied. Each predicate receives the input. If the predicate returns truthy, then its matching output function (mapping function) is provided with the input and, then the result is returned.
Each combination (2-tuple) of predicate + output function should be placed in an array of size 2: [ predicate, mapFn ]
These 2-tuples should be put in an outer array.
A 2D array. Each element of the array should be an array, a 2-tuple, with a Predicate and a mapping/output function
Given a varargs list of functions, returns a function that is composes the argument functions, left-to-right given: f(x), g(x), h(x) let piped = pipe(f,g,h); then, piped is: h(g(f(x)))
Given a varargs list of functions, returns a function that is composes the argument functions, left-to-right given: f(x), g(x), h(x) let piped = pipe(f,g,h); then, piped is: h(g(f(x)))
Given a property name, returns a function that returns that property from an object let obj = { foo: 1, name: "blarg" }; let getName = prop("name"); getName(obj) === "blarg"
Given a property name, returns a function that returns that property from an object let obj = { foo: 1, name: "blarg" }; let getName = prop("name"); getName(obj) === "blarg"
Given a value, returns a function which returns the value
Given a value, returns a function which returns the value
Generated using TypeDoc
Higher order functions
These utility functions are exported, but are subject to change without notice.


Crabby Paddy
16-Dec-19 09:21 AM
Anyone else taking a loan now to buy kmd
Thoughts on this being near the bottom fist wise? Or think we have a long ways to go
Just handed in my application, my logic is if I was going to buy xxxx a month, may as well buy xxxx * 24 now, pay off the rest, as long as I see komodo being worth more than 10% of its current value
5% if we include the rewards
Not some sell the house unplayable loan. But stable job, same amount I’d be buying monthly but at once


JQuery Ui Assignment Author: Robert McDonell Date:1/27/2018
Datepicker
Tooltip
Name:
Selectmenu
Date of Birth:
Month
Month
January
Day
Day
1
Year
Year
2011
Checkbox Radio
Checkbox and radio button widgets
Radio Group
Select a Location:
JavaScript
JQuery
Jquery UI
Checkbox
Ratings:
2 Star
3 Star
4 Star
5 Star


--- layout: post title: "My Week in Review" date: 2019-03-31 16:45:00 +0000 image: https://s3.amazonaws.com/audreywatters/2019-03-31-belltown-bear.jpg imagecredits: https://www.flickr.com/photos/clappstar/3020979627 ---
Well, it’s 31 March, and the draft of Teaching Machines isn’t complete. I’m trying not to freak out – I mean, we’re finally settled here in Seattle, and there’s no excuse to not focus on the writing. So hopefully I can finish it up quickly.
I didn’t send out a HEWN this week, and I won’t until the draft of the book is done. Gotta prioritize. But I also gotta earn some money, so I did work this week on a short article to preview the book – a promotional piece for a talk that I’ll give this fall in Berlin.
Kin and I watched The Inventor, the HBO documentary about Elizabeth Holmes. I didn’t think it was nearly as good as John Carreyou’s book on Theranos, but it was interesting to see and hear some of the main characters, as well as to watch the journalists who’d hyped the startup come to terms with how they were taken for a ride.
We’ve had Kin’s daughter visiting us this week. Spring Break and whatnot.
Icon credits: The Noun Project


Need to reset your password? If you have a temporary password, make sure to input that into the field marked "Old Password."


In a recent office meeting, I had the opportunity to share my current planning system. I explained a bit about what I do to plan my days and keep track of my goals and there was enough interest that I was asked to lead a lunch and learn on the subject. So I figured I might as well go ahead and share the same here.
Everyday, I fill out a daily planning worksheet. It is split into two main parts: The Morning Ritual and The Evening Ritual. They’re so named because I wanted to think of them as something I automatically do when I wake up and before bed. At the end of each section, I include a few personal reminders of mental exercises I want to run through as well. Really, the purpose of the entire worksheet is to prompt me to think about or do something.
After filling in the worksheet, I take all the actionable items and transfer them into a ‘proper’ todo list application. Throughout the day, I refer to this list to make sure I’m addressing everything from the worksheet.
At the end of the day, I go back to the same worksheet and fill out The Evening Ritual. This gives me an opportunity to review my day and learn a few lessons.
Below is a slimmed down version of my daily worksheet. I’ve removed things that apply to me.  Also, don’t be afraid to change your worksheet at any time.
Most of questions are pretty self explanatory, however, I’ve added notes where I think they might help.
**This came from another exercise. It lists the things you stand for. I like to review these everyday.
**This lists the things that I value and the things I want less of. Think of it as two categories: things I want more of in my life, and things I want less of.
How am I going to take care of the four parts of my being today? Or how will I deliberately practice them?
One good thing about myself:
What and whom am I grateful for today?
What am I excited about and looking forward to doing today?
What is my purpose, and do my plans for today connect me to it?
How can I move the dial toward my goals today?
To whom can I reach out and serve or thank today?
Are my goals still aligned with my purpose?
The One Thing (the most important thing I will achieve this day and/or week):
Priority Tasks (that I must complete today or this week):
Projects (to work on one step at a minimum each day):
Contacts (calls/emails to people I need to connect with):
Habit (what am I working on this week, and how):
Notes, Ideas, Inspiration (any ideas that came up during the morning ritual):
Did I achieve my One Thing?
Was I “on” and in the zone today or “off” and unbalanced?
What contributed to this feeling?
What were the top three positive things I accomplished or that happened today?
What did I learn from them?
Are there unsolved challenges I would like my subconscious mind to help me solve tonight?
What went wrong today and what is the silver lining?
One thing I’m grateful for:


Info
Welcome to the generated API reference. Get Postman Collection
general
api/patientsAll
Example request:
curl -X GET \
-G "http://adarawellness.site/API/api/patientsAll" \
-H "Content-Type: application/json" \
-H "Accept: application/json"
const url = new URL(
"http://adarawellness.site/API/api/patientsAll"
);
let headers = {
"Content-Type": "application/json",
"Accept": "application/json",
};
fetch(url, {
method: "GET",
headers: headers,
})
.then(response => response.json())
.then(json => console.log(json));
Example response (500):
{
"message": "Server Error"
}
HTTP Request
GET api/patientsAll
api/patientsLogin
Example request:
curl -X GET \
-G "http://adarawellness.site/API/api/patientsLogin" \
-H "Content-Type: application/json" \
-H "Accept: application/json"
const url = new URL(
"http://adarawellness.site/API/api/patientsLogin"
);
let headers = {
"Content-Type": "application/json",
"Accept": "application/json",
};
fetch(url, {
method: "GET",
headers: headers,
})
.then(response => response.json())
.then(json => console.log(json));
Example response (500):
{
"message": "Server Error"
}
HTTP Request
GET api/patientsLogin
Display a listing of the resource.
Example request:
curl -X GET \
-G "http://adarawellness.site/API/api/patients" \
-H "Content-Type: application/json" \
-H "Accept: application/json"
const url = new URL(
"http://adarawellness.site/API/api/patients"
);
let headers = {
"Content-Type": "application/json",
"Accept": "application/json",
};
fetch(url, {
method: "GET",
headers: headers,
})
.then(response => response.json())
.then(json => console.log(json));
HTTP Request
GET api/patients
Show the form for creating a new resource.
Example request:
curl -X GET \
-G "http://adarawellness.site/API/api/patients/create" \
-H "Content-Type: application/json" \
-H "Accept: application/json"
const url = new URL(
"http://adarawellness.site/API/api/patients/create"
);
let headers = {
"Content-Type": "application/json",
"Accept": "application/json",
};
fetch(url, {
method: "GET",
headers: headers,
})
.then(response => response.json())
.then(json => console.log(json));
HTTP Request
GET api/patients/create
Store a newly created resource in storage.
Example request:
curl -X POST \
"http://adarawellness.site/API/api/patients" \
-H "Content-Type: application/json" \
-H "Accept: application/json"
const url = new URL(
"http://adarawellness.site/API/api/patients"
);
let headers = {
"Content-Type": "application/json",
"Accept": "application/json",
};
fetch(url, {
method: "POST",
headers: headers,
})
.then(response => response.json())
.then(json => console.log(json));
HTTP Request
POST api/patients
Display the specified resource.
Example request:
curl -X GET \
-G "http://adarawellness.site/API/api/patients/1" \
-H "Content-Type: application/json" \
-H "Accept: application/json"
const url = new URL(
"http://adarawellness.site/API/api/patients/1"
);
let headers = {
"Content-Type": "application/json",
"Accept": "application/json",
};
fetch(url, {
method: "GET",
headers: headers,
})
.then(response => response.json())
.then(json => console.log(json));
Example response (500):
{
"message": "Server Error"
}
HTTP Request
GET api/patients/{patient}
Show the form for editing the specified resource.
Example request:
curl -X GET \
-G "http://adarawellness.site/API/api/patients/1/edit" \
-H "Content-Type: application/json" \
-H "Accept: application/json"
const url = new URL(
"http://adarawellness.site/API/api/patients/1/edit"
);
let headers = {
"Content-Type": "application/json",
"Accept": "application/json",
};
fetch(url, {
method: "GET",
headers: headers,
})
.then(response => response.json())
.then(json => console.log(json));
HTTP Request
GET api/patients/{patient}/edit
Update the specified resource in storage.
Example request:
curl -X PUT \
"http://adarawellness.site/API/api/patients/1" \
-H "Content-Type: application/json" \
-H "Accept: application/json"
const url = new URL(
"http://adarawellness.site/API/api/patients/1"
);
let headers = {
"Content-Type": "application/json",
"Accept": "application/json",
};
fetch(url, {
method: "PUT",
headers: headers,
})
.then(response => response.json())
.then(json => console.log(json));
HTTP Request
PUT api/patients/{patient}
PATCH api/patients/{patient}
Remove the specified resource from storage.
Example request:
curl -X DELETE \
"http://adarawellness.site/API/api/patients/1" \
-H "Content-Type: application/json" \
-H "Accept: application/json"
const url = new URL(
"http://adarawellness.site/API/api/patients/1"
);
let headers = {
"Content-Type": "application/json",
"Accept": "application/json",
};
fetch(url, {
method: "DELETE",
headers: headers,
})
.then(response => response.json())
.then(json => console.log(json));
HTTP Request
DELETE api/patients/{patient}
api/menuGet/{id}
Example request:
curl -X GET \
-G "http://adarawellness.site/API/api/menuGet/1" \
-H "Content-Type: application/json" \
-H "Accept: application/json"
const url = new URL(
"http://adarawellness.site/API/api/menuGet/1"
);
let headers = {
"Content-Type": "application/json",
"Accept": "application/json",
};
fetch(url, {
method: "GET",
headers: headers,
})
.then(response => response.json())
.then(json => console.log(json));
Example response (500):
{
"message": "Server Error"
}
HTTP Request
GET api/menuGet/{id}
api/menuDestroy/{id}
Example request:
curl -X DELETE \
"http://adarawellness.site/API/api/menuDestroy/1" \
-H "Content-Type: application/json" \
-H "Accept: application/json"
const url = new URL(
"http://adarawellness.site/API/api/menuDestroy/1"
);
let headers = {
"Content-Type": "application/json",
"Accept": "application/json",
};
fetch(url, {
method: "DELETE",
headers: headers,
})
.then(response => response.json())
.then(json => console.log(json));
HTTP Request
DELETE api/menuDestroy/{id}
Display a listing of the resource.
Example request:
curl -X GET \
-G "http://adarawellness.site/API/api/menu" \
-H "Content-Type: application/json" \
-H "Accept: application/json"
const url = new URL(
"http://adarawellness.site/API/api/menu"
);
let headers = {
"Content-Type": "application/json",
"Accept": "application/json",
};
fetch(url, {
method: "GET",
headers: headers,
})
.then(response => response.json())
.then(json => console.log(json));
HTTP Request
GET api/menu
Show the form for creating a new resource.
Example request:
curl -X GET \
-G "http://adarawellness.site/API/api/menu/create" \
-H "Content-Type: application/json" \
-H "Accept: application/json"
const url = new URL(
"http://adarawellness.site/API/api/menu/create"
);
let headers = {
"Content-Type": "application/json",
"Accept": "application/json",
};
fetch(url, {
method: "GET",
headers: headers,
})
.then(response => response.json())
.then(json => console.log(json));
HTTP Request
GET api/menu/create
Store a newly created resource in storage.
Example request:
curl -X POST \
"http://adarawellness.site/API/api/menu" \
-H "Content-Type: application/json" \
-H "Accept: application/json"
const url = new URL(
"http://adarawellness.site/API/api/menu"
);
let headers = {
"Content-Type": "application/json",
"Accept": "application/json",
};
fetch(url, {
method: "POST",
headers: headers,
})
.then(response => response.json())
.then(json => console.log(json));
HTTP Request
POST api/menu
Display the specified resource.
Example request:
curl -X GET \
-G "http://adarawellness.site/API/api/menu/1" \
-H "Content-Type: application/json" \
-H "Accept: application/json"
const url = new URL(
"http://adarawellness.site/API/api/menu/1"
);
let headers = {
"Content-Type": "application/json",
"Accept": "application/json",
};
fetch(url, {
method: "GET",
headers: headers,
})
.then(response => response.json())
.then(json => console.log(json));
HTTP Request
GET api/menu/{menu}
Show the form for editing the specified resource.
Example request:
curl -X GET \
-G "http://adarawellness.site/API/api/menu/1/edit" \
-H "Content-Type: application/json" \
-H "Accept: application/json"
const url = new URL(
"http://adarawellness.site/API/api/menu/1/edit"
);
let headers = {
"Content-Type": "application/json",
"Accept": "application/json",
};
fetch(url, {
method: "GET",
headers: headers,
})
.then(response => response.json())
.then(json => console.log(json));
HTTP Request
GET api/menu/{menu}/edit
Update the specified resource in storage.
Example request:
curl -X PUT \
"http://adarawellness.site/API/api/menu/1" \
-H "Content-Type: application/json" \
-H "Accept: application/json"
const url = new URL(
"http://adarawellness.site/API/api/menu/1"
);
let headers = {
"Content-Type": "application/json",
"Accept": "application/json",
};
fetch(url, {
method: "PUT",
headers: headers,
})
.then(response => response.json())
.then(json => console.log(json));
HTTP Request
PUT api/menu/{menu}
PATCH api/menu/{menu}
Remove the specified resource from storage.
Example request:
curl -X DELETE \
"http://adarawellness.site/API/api/menu/1" \
-H "Content-Type: application/json" \
-H "Accept: application/json"
const url = new URL(
"http://adarawellness.site/API/api/menu/1"
);
let headers = {
"Content-Type": "application/json",
"Accept": "application/json",
};
fetch(url, {
method: "DELETE",
headers: headers,
})
.then(response => response.json())
.then(json => console.log(json));
HTTP Request
DELETE api/menu/{menu}
api/routinesAll
Example request:
curl -X GET \
-G "http://adarawellness.site/API/api/routinesAll" \
-H "Content-Type: application/json" \
-H "Accept: application/json"
const url = new URL(
"http://adarawellness.site/API/api/routinesAll"
);
let headers = {
"Content-Type": "application/json",
"Accept": "application/json",
};
fetch(url, {
method: "GET",
headers: headers,
})
.then(response => response.json())
.then(json => console.log(json));
Example response (500):
{
"message": "Server Error"
}
HTTP Request
GET api/routinesAll
api/routinesLunes/{id}
Example request:
curl -X GET \
-G "http://adarawellness.site/API/api/routinesLunes/1" \
-H "Content-Type: application/json" \
-H "Accept: application/json"
const url = new URL(
"http://adarawellness.site/API/api/routinesLunes/1"
);
let headers = {
"Content-Type": "application/json",
"Accept": "application/json",
};
fetch(url, {
method: "GET",
headers: headers,
})
.then(response => response.json())
.then(json => console.log(json));
Example response (500):
{
"message": "Server Error"
}
HTTP Request
GET api/routinesLunes/{id}
api/routinesMartes/{id}
Example request:
curl -X GET \
-G "http://adarawellness.site/API/api/routinesMartes/1" \
-H "Content-Type: application/json" \
-H "Accept: application/json"
const url = new URL(
"http://adarawellness.site/API/api/routinesMartes/1"
);
let headers = {
"Content-Type": "application/json",
"Accept": "application/json",
};
fetch(url, {
method: "GET",
headers: headers,
})
.then(response => response.json())
.then(json => console.log(json));
Example response (500):
{
"message": "Server Error"
}
HTTP Request
GET api/routinesMartes/{id}
api/routinesMiercoles/{id}
Example request:
curl -X GET \
-G "http://adarawellness.site/API/api/routinesMiercoles/1" \
-H "Content-Type: application/json" \
-H "Accept: application/json"
const url = new URL(
"http://adarawellness.site/API/api/routinesMiercoles/1"
);
let headers = {
"Content-Type": "application/json",
"Accept": "application/json",
};
fetch(url, {
method: "GET",
headers: headers,
})
.then(response => response.json())
.then(json => console.log(json));
Example response (500):
{
"message": "Server Error"
}
HTTP Request
GET api/routinesMiercoles/{id}
api/routinesJueves/{id}
Example request:
curl -X GET \
-G "http://adarawellness.site/API/api/routinesJueves/1" \
-H "Content-Type: application/json" \
-H "Accept: application/json"
const url = new URL(
"http://adarawellness.site/API/api/routinesJueves/1"
);
let headers = {
"Content-Type": "application/json",
"Accept": "application/json",
};
fetch(url, {
method: "GET",
headers: headers,
})
.then(response => response.json())
.then(json => console.log(json));
Example response (500):
{
"message": "Server Error"
}
HTTP Request
GET api/routinesJueves/{id}
api/routinesViernes/{id}
Example request:
curl -X GET \
-G "http://adarawellness.site/API/api/routinesViernes/1" \
-H "Content-Type: application/json" \
-H "Accept: application/json"
const url = new URL(
"http://adarawellness.site/API/api/routinesViernes/1"
);
let headers = {
"Content-Type": "application/json",
"Accept": "application/json",
};
fetch(url, {
method: "GET",
headers: headers,
})
.then(response => response.json())
.then(json => console.log(json));
Example response (500):
{
"message": "Server Error"
}
HTTP Request
GET api/routinesViernes/{id}
api/routinesSabado/{id}
Example request:
curl -X GET \
-G "http://adarawellness.site/API/api/routinesSabado/1" \
-H "Content-Type: application/json" \
-H "Accept: application/json"
const url = new URL(
"http://adarawellness.site/API/api/routinesSabado/1"
);
let headers = {
"Content-Type": "application/json",
"Accept": "application/json",
};
fetch(url, {
method: "GET",
headers: headers,
})
.then(response => response.json())
.then(json => console.log(json));
Example response (500):
{
"message": "Server Error"
}
HTTP Request
GET api/routinesSabado/{id}
api/routinesDomingo/{id}
Example request:
curl -X GET \
-G "http://adarawellness.site/API/api/routinesDomingo/1" \
-H "Content-Type: application/json" \
-H "Accept: application/json"
const url = new URL(
"http://adarawellness.site/API/api/routinesDomingo/1"
);
let headers = {
"Content-Type": "application/json",
"Accept": "application/json",
};
fetch(url, {
method: "GET",
headers: headers,
})
.then(response => response.json())
.then(json => console.log(json));
Example response (500):
{
"message": "Server Error"
}
HTTP Request
GET api/routinesDomingo/{id}
api/documents/{id}
Example request:
curl -X GET \
-G "http://adarawellness.site/API/api/documents/1" \
-H "Content-Type: application/json" \
-H "Accept: application/json"
const url = new URL(
"http://adarawellness.site/API/api/documents/1"
);
let headers = {
"Content-Type": "application/json",
"Accept": "application/json",
};
fetch(url, {
method: "GET",
headers: headers,
})
.then(response => response.json())
.then(json => console.log(json));
Example response (500):
{
"message": "Server Error"
}
HTTP Request
GET api/documents/{id}
api/images/{id}
Example request:
curl -X GET \
-G "http://adarawellness.site/API/api/images/1" \
-H "Content-Type: application/json" \
-H "Accept: application/json"
const url = new URL(
"http://adarawellness.site/API/api/images/1"
);
let headers = {
"Content-Type": "application/json",
"Accept": "application/json",
};
fetch(url, {
method: "GET",
headers: headers,
})
.then(response => response.json())
.then(json => console.log(json));
Example response (500):
{
"message": "Server Error"
}
HTTP Request
GET api/images/{id}
api/routines/{id}
Example request:
curl -X GET \
-G "http://adarawellness.site/API/api/routines/1" \
-H "Content-Type: application/json" \
-H "Accept: application/json"
const url = new URL(
"http://adarawellness.site/API/api/routines/1"
);
let headers = {
"Content-Type": "application/json",
"Accept": "application/json",
};
fetch(url, {
method: "GET",
headers: headers,
})
.then(response => response.json())
.then(json => console.log(json));
Example response (500):
{
"message": "Server Error"
}
HTTP Request
GET api/routines/{id}
patientsAll
Example request:
curl -X GET \
-G "http://adarawellness.site/API/patientsAll" \
-H "Content-Type: application/json" \
-H "Accept: application/json"
const url = new URL(
"http://adarawellness.site/API/patientsAll"
);
let headers = {
"Content-Type": "application/json",
"Accept": "application/json",
};
fetch(url, {
method: "GET",
headers: headers,
})
.then(response => response.json())
.then(json => console.log(json));
Example response (500):
{
"message": "Server Error"
}
HTTP Request
GET patientsAll
patientsLogin
Example request:
curl -X GET \
-G "http://adarawellness.site/API/patientsLogin" \
-H "Content-Type: application/json" \
-H "Accept: application/json"
const url = new URL(
"http://adarawellness.site/API/patientsLogin"
);
let headers = {
"Content-Type": "application/json",
"Accept": "application/json",
};
fetch(url, {
method: "GET",
headers: headers,
})
.then(response => response.json())
.then(json => console.log(json));
Example response (500):
{
"message": "Server Error"
}
HTTP Request
GET patientsLogin
Display a listing of the resource.
Example request:
curl -X GET \
-G "http://adarawellness.site/API/patients" \
-H "Content-Type: application/json" \
-H "Accept: application/json"
const url = new URL(
"http://adarawellness.site/API/patients"
);
let headers = {
"Content-Type": "application/json",
"Accept": "application/json",
};
fetch(url, {
method: "GET",
headers: headers,
})
.then(response => response.json())
.then(json => console.log(json));
HTTP Request
GET patients
Show the form for creating a new resource.
Example request:
curl -X GET \
-G "http://adarawellness.site/API/patients/create" \
-H "Content-Type: application/json" \
-H "Accept: application/json"
const url = new URL(
"http://adarawellness.site/API/patients/create"
);
let headers = {
"Content-Type": "application/json",
"Accept": "application/json",
};
fetch(url, {
method: "GET",
headers: headers,
})
.then(response => response.json())
.then(json => console.log(json));
HTTP Request
GET patients/create
Store a newly created resource in storage.
Example request:
curl -X POST \
"http://adarawellness.site/API/patients" \
-H "Content-Type: application/json" \
-H "Accept: application/json"
const url = new URL(
"http://adarawellness.site/API/patients"
);
let headers = {
"Content-Type": "application/json",
"Accept": "application/json",
};
fetch(url, {
method: "POST",
headers: headers,
})
.then(response => response.json())
.then(json => console.log(json));
HTTP Request
POST patients
Display the specified resource.
Example request:
curl -X GET \
-G "http://adarawellness.site/API/patients/1" \
-H "Content-Type: application/json" \
-H "Accept: application/json"
const url = new URL(
"http://adarawellness.site/API/patients/1"
);
let headers = {
"Content-Type": "application/json",
"Accept": "application/json",
};
fetch(url, {
method: "GET",
headers: headers,
})
.then(response => response.json())
.then(json => console.log(json));
Example response (500):
{
"message": "Server Error"
}
HTTP Request
GET patients/{patient}
Show the form for editing the specified resource.
Example request:
curl -X GET \
-G "http://adarawellness.site/API/patients/1/edit" \
-H "Content-Type: application/json" \
-H "Accept: application/json"
const url = new URL(
"http://adarawellness.site/API/patients/1/edit"
);
let headers = {
"Content-Type": "application/json",
"Accept": "application/json",
};
fetch(url, {
method: "GET",
headers: headers,
})
.then(response => response.json())
.then(json => console.log(json));
HTTP Request
GET patients/{patient}/edit
Update the specified resource in storage.
Example request:
curl -X PUT \
"http://adarawellness.site/API/patients/1" \
-H "Content-Type: application/json" \
-H "Accept: application/json"
const url = new URL(
"http://adarawellness.site/API/patients/1"
);
let headers = {
"Content-Type": "application/json",
"Accept": "application/json",
};
fetch(url, {
method: "PUT",
headers: headers,
})
.then(response => response.json())
.then(json => console.log(json));
HTTP Request
PUT patients/{patient}
PATCH patients/{patient}
Remove the specified resource from storage.
Example request:
curl -X DELETE \
"http://adarawellness.site/API/patients/1" \
-H "Content-Type: application/json" \
-H "Accept: application/json"
const url = new URL(
"http://adarawellness.site/API/patients/1"
);
let headers = {
"Content-Type": "application/json",
"Accept": "application/json",
};
fetch(url, {
method: "DELETE",
headers: headers,
})
.then(response => response.json())
.then(json => console.log(json));
HTTP Request
DELETE patients/{patient}
menuGet/{id}
Example request:
curl -X GET \
-G "http://adarawellness.site/API/menuGet/1" \
-H "Content-Type: application/json" \
-H "Accept: application/json"
const url = new URL(
"http://adarawellness.site/API/menuGet/1"
);
let headers = {
"Content-Type": "application/json",
"Accept": "application/json",
};
fetch(url, {
method: "GET",
headers: headers,
})
.then(response => response.json())
.then(json => console.log(json));
Example response (500):
{
"message": "Server Error"
}
HTTP Request
GET menuGet/{id}
menuDestroy/{id}
Example request:
curl -X DELETE \
"http://adarawellness.site/API/menuDestroy/1" \
-H "Content-Type: application/json" \
-H "Accept: application/json"
const url = new URL(
"http://adarawellness.site/API/menuDestroy/1"
);
let headers = {
"Content-Type": "application/json",
"Accept": "application/json",
};
fetch(url, {
method: "DELETE",
headers: headers,
})
.then(response => response.json())
.then(json => console.log(json));
HTTP Request
DELETE menuDestroy/{id}
Display a listing of the resource.
Example request:
curl -X GET \
-G "http://adarawellness.site/API/menu" \
-H "Content-Type: application/json" \
-H "Accept: application/json"
const url = new URL(
"http://adarawellness.site/API/menu"
);
let headers = {
"Content-Type": "application/json",
"Accept": "application/json",
};
fetch(url, {
method: "GET",
headers: headers,
})
.then(response => response.json())
.then(json => console.log(json));
HTTP Request
GET menu
Show the form for creating a new resource.
Example request:
curl -X GET \
-G "http://adarawellness.site/API/menu/create" \
-H "Content-Type: application/json" \
-H "Accept: application/json"
const url = new URL(
"http://adarawellness.site/API/menu/create"
);
let headers = {
"Content-Type": "application/json",
"Accept": "application/json",
};
fetch(url, {
method: "GET",
headers: headers,
})
.then(response => response.json())
.then(json => console.log(json));
HTTP Request
GET menu/create
Store a newly created resource in storage.
Example request:
curl -X POST \
"http://adarawellness.site/API/menu" \
-H "Content-Type: application/json" \
-H "Accept: application/json"
const url = new URL(
"http://adarawellness.site/API/menu"
);
let headers = {
"Content-Type": "application/json",
"Accept": "application/json",
};
fetch(url, {
method: "POST",
headers: headers,
})
.then(response => response.json())
.then(json => console.log(json));
HTTP Request
POST menu
Display the specified resource.
Example request:
curl -X GET \
-G "http://adarawellness.site/API/menu/1" \
-H "Content-Type: application/json" \
-H "Accept: application/json"
const url = new URL(
"http://adarawellness.site/API/menu/1"
);
let headers = {
"Content-Type": "application/json",
"Accept": "application/json",
};
fetch(url, {
method: "GET",
headers: headers,
})
.then(response => response.json())
.then(json => console.log(json));
HTTP Request
GET menu/{menu}
Show the form for editing the specified resource.
Example request:
curl -X GET \
-G "http://adarawellness.site/API/menu/1/edit" \
-H "Content-Type: application/json" \
-H "Accept: application/json"
const url = new URL(
"http://adarawellness.site/API/menu/1/edit"
);
let headers = {
"Content-Type": "application/json",
"Accept": "application/json",
};
fetch(url, {
method: "GET",
headers: headers,
})
.then(response => response.json())
.then(json => console.log(json));
HTTP Request
GET menu/{menu}/edit
Update the specified resource in storage.
Example request:
curl -X PUT \
"http://adarawellness.site/API/menu/1" \
-H "Content-Type: application/json" \
-H "Accept: application/json"
const url = new URL(
"http://adarawellness.site/API/menu/1"
);
let headers = {
"Content-Type": "application/json",
"Accept": "application/json",
};
fetch(url, {
method: "PUT",
headers: headers,
})
.then(response => response.json())
.then(json => console.log(json));
HTTP Request
PUT menu/{menu}
PATCH menu/{menu}
Remove the specified resource from storage.
Example request:
curl -X DELETE \
"http://adarawellness.site/API/menu/1" \
-H "Content-Type: application/json" \
-H "Accept: application/json"
const url = new URL(
"http://adarawellness.site/API/menu/1"
);
let headers = {
"Content-Type": "application/json",
"Accept": "application/json",
};
fetch(url, {
method: "DELETE",
headers: headers,
})
.then(response => response.json())
.then(json => console.log(json));
HTTP Request
DELETE menu/{menu}
Show the application's login form.
Example request:
curl -X GET \
-G "http://adarawellness.site/API/login" \
-H "Content-Type: application/json" \
-H "Accept: application/json"
const url = new URL(
"http://adarawellness.site/API/login"
);
let headers = {
"Content-Type": "application/json",
"Accept": "application/json",
};
fetch(url, {
method: "GET",
headers: headers,
})
.then(response => response.json())
.then(json => console.log(json));
Example response (200):
null
HTTP Request
GET login
Handle a login request to the application.
Example request:
curl -X POST \
"http://adarawellness.site/API/login" \
-H "Content-Type: application/json" \
-H "Accept: application/json"
const url = new URL(
"http://adarawellness.site/API/login"
);
let headers = {
"Content-Type": "application/json",
"Accept": "application/json",
};
fetch(url, {
method: "POST",
headers: headers,
})
.then(response => response.json())
.then(json => console.log(json));
HTTP Request
POST login
Log the user out of the application.
Example request:
curl -X POST \
"http://adarawellness.site/API/logout" \
-H "Content-Type: application/json" \
-H "Accept: application/json"
const url = new URL(
"http://adarawellness.site/API/logout"
);
let headers = {
"Content-Type": "application/json",
"Accept": "application/json",
};
fetch(url, {
method: "POST",
headers: headers,
})
.then(response => response.json())
.then(json => console.log(json));
HTTP Request
POST logout
Show the application registration form.
Example request:
curl -X GET \
-G "http://adarawellness.site/API/register" \
-H "Content-Type: application/json" \
-H "Accept: application/json"
const url = new URL(
"http://adarawellness.site/API/register"
);
let headers = {
"Content-Type": "application/json",
"Accept": "application/json",
};
fetch(url, {
method: "GET",
headers: headers,
})
.then(response => response.json())
.then(json => console.log(json));
Example response (200):
null
HTTP Request
GET register
Handle a registration request for the application.
Example request:
curl -X POST \
"http://adarawellness.site/API/register" \
-H "Content-Type: application/json" \
-H "Accept: application/json"
const url = new URL(
"http://adarawellness.site/API/register"
);
let headers = {
"Content-Type": "application/json",
"Accept": "application/json",
};
fetch(url, {
method: "POST",
headers: headers,
})
.then(response => response.json())
.then(json => console.log(json));
HTTP Request
POST register
Display the form to request a password reset link.
Example request:
curl -X GET \
-G "http://adarawellness.site/API/password/reset" \
-H "Content-Type: application/json" \
-H "Accept: application/json"
const url = new URL(
"http://adarawellness.site/API/password/reset"
);
let headers = {
"Content-Type": "application/json",
"Accept": "application/json",
};
fetch(url, {
method: "GET",
headers: headers,
})
.then(response => response.json())
.then(json => console.log(json));
Example response (200):
null
HTTP Request
GET password/reset
Send a reset link to the given user.
Example request:
curl -X POST \
"http://adarawellness.site/API/password/email" \
-H "Content-Type: application/json" \
-H "Accept: application/json"
const url = new URL(
"http://adarawellness.site/API/password/email"
);
let headers = {
"Content-Type": "application/json",
"Accept": "application/json",
};
fetch(url, {
method: "POST",
headers: headers,
})
.then(response => response.json())
.then(json => console.log(json));
HTTP Request
POST password/email
Display the password reset view for the given token.
If no token is present, display the link request form.
Example request:
curl -X GET \
-G "http://adarawellness.site/API/password/reset/1" \
-H "Content-Type: application/json" \
-H "Accept: application/json"
const url = new URL(
"http://adarawellness.site/API/password/reset/1"
);
let headers = {
"Content-Type": "application/json",
"Accept": "application/json",
};
fetch(url, {
method: "GET",
headers: headers,
})
.then(response => response.json())
.then(json => console.log(json));
Example response (200):
null
HTTP Request
GET password/reset/{token}
Reset the given user's password.
Example request:
curl -X POST \
"http://adarawellness.site/API/password/reset" \
-H "Content-Type: application/json" \
-H "Accept: application/json"
const url = new URL(
"http://adarawellness.site/API/password/reset"
);
let headers = {
"Content-Type": "application/json",
"Accept": "application/json",
};
fetch(url, {
method: "POST",
headers: headers,
})
.then(response => response.json())
.then(json => console.log(json));
HTTP Request
POST password/reset
Show the application dashboard.
Example request:
curl -X GET \
-G "http://adarawellness.site/API/home" \
-H "Content-Type: application/json" \
-H "Accept: application/json"
const url = new URL(
"http://adarawellness.site/API/home"
);
let headers = {
"Content-Type": "application/json",
"Accept": "application/json",
};
fetch(url, {
method: "GET",
headers: headers,
})
.then(response => response.json())
.then(json => console.log(json));
Example response (401):
{
"message": "Unauthenticated."
}
HTTP Request
GET home


Click the button to change the text in this paragraph.
I am a button but I can do nothing without Javascript


on what the Buddha taught
Kamma is often translated as action.
Kamma has a (different) meaning outside the Buddhā Dhamma, and this now finds its way in.
Kamma in our context does means action. And there are just these three ways in which we can do things: by body, by speech and by intellect. We can only do something just now right this moment and of course, what we do leads to result; we do something precisely because of an expected result. That the exact 'result' (the ripening of an action) is not found out is one thing, it is one of the four unthinkables, but that there is ripening is be understood. Action is not a matter of believing.
Do yourself a favour and don’t use kamma but use action instead, so that a misunderstanding is more easily spotted by yourself.
Kamma (nt.) action.


worksheet.conditional_format('B2:B8', {'type': '3_color_scale'})
# Close the Pandas Excel writer and output the Excel file.
writer.save()
An example of converting a Pandas dataframe with datetimes to an Excel file with a default datetime and date format using Pandas and XlsxWriter.
##############################################################################
#
# An example of converting a Pandas dataframe with datetimes to an xlsx file
# with a default datetime and date format using Pandas and XlsxWriter.
#
# Copyright 2013-2020, John McNamara<EMAIL_ADDRESS>#
import pandas as pd
from datetime import datetime, date
# Create a Pandas dataframe from some datetime data.
df = pd.DataFrame({'Date and time': [datetime(2015, 1, 1, 11, 30, 55),
datetime(2015, 1, 2, 1, 20, 33),
datetime(2015, 1, 3, 11, 10 ),
datetime(2015, 1, 4, 16, 45, 35),
datetime(2015, 1, 5, 12, 10, 15)],
'Dates only': [date(2015, 2, 1),
date(2015, 2, 2),
date(2015, 2, 3),
date(2015, 2, 4),
date(2015, 2, 5)],
})
# Create a Pandas Excel writer using XlsxWriter as the engine.
# Also set the default datetime and date formats.
writer = pd.ExcelWriter("pandas_datetime.xlsx",
engine='xlsxwriter',
datetime_format='mmm d yyyy hh:mm:ss',
date_format='mmmm dd yyyy')
# Convert the dataframe to an XlsxWriter Excel object.
df.to_excel(writer, sheet_name='Sheet1')
# Get the xlsxwriter workbook and worksheet objects in order to set the column
# widths, to make the dates clearer.
workbook = writer.book
worksheet = writer.sheets['Sheet1']
worksheet.set_column('B:C', 20)
# Close the Pandas Excel writer and output the Excel file.
writer.save()
An example of converting a Pandas dataframe to an Excel file with column formats using Pandas and XlsxWriter.
It isn’t possible to format any cells that already have a format such as the index or headers or any cells that contain dates or datetimes.
Note: This feature requires Pandas >= 0.16.
##############################################################################
#
# An example of converting a Pandas dataframe to an xlsx file
# with column formats using Pandas and XlsxWriter.
#
# Copyright 2013-2020, John McNamara<EMAIL_ADDRESS>#
import pandas as pd
# Create a Pandas dataframe from some data.
df = pd.DataFrame({'Numbers': [1010, 2020, 3030, 2020, 1515, 3030, 4545],
'Percentage': [.1, .2, .33, .25, .5, .75, .45 ],
})
# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter("pandas_column_formats.xlsx", engine='xlsxwriter')
# Convert the dataframe to an XlsxWriter Excel object.
df.to_excel(writer, sheet_name='Sheet1')
# Get the xlsxwriter workbook and worksheet objects.
workbook = writer.book
worksheet = writer.sheets['Sheet1']
# Add some cell formats.
format1 = workbook.add_format({'num_format': '#,##0.00'})
format2 = workbook.add_format({'num_format': '0%'})
# Note: It isn't possible to format any cells that already have a format such
# as the index or headers or any cells that contain dates or datetimes.
# Set the column width and format.
worksheet.set_column('B:B', 18, format1)
# Set the format but not the column width.
worksheet.set_column('C:C', None, format2)
# Close the Pandas Excel writer and output the Excel file.
writer.save()
An example of converting a Pandas dataframe to an Excel file with a user defined header format using Pandas and XlsxWriter.
##############################################################################
#
# An example of converting a Pandas dataframe to an xlsx file
# with a user defined header format.
#
# Copyright 2013-2020, John McNamara<EMAIL_ADDRESS>#
import pandas as pd
# Create a Pandas dataframe from some data.
data = [10, 20, 30, 40, 50, 60]
df = pd.DataFrame({'Heading': data,
'Longer heading that should be wrapped' : data})
# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter("pandas_header_format.xlsx", engine='xlsxwriter')
# Convert the dataframe to an XlsxWriter Excel object. Note that we turn off
# the default header and skip one row to allow us to insert a user defined
# header.
df.to_excel(writer, sheet_name='Sheet1', startrow=1, header=False)
# Get the xlsxwriter workbook and worksheet objects.
workbook = writer.book
worksheet = writer.sheets['Sheet1']
# Add a header format.
header_format = workbook.add_format({
'bold': True,
'text_wrap': True,
'valign': 'top',
'fg_color': '#D7E4BC',
'border': 1})
# Write the column headers with the defined format.
for col_num, value in enumerate(df.columns.values):
worksheet.write(0, col_num + 1, value, header_format)
# Close the Pandas Excel writer and output the Excel file.
writer.save()
A simple example of converting a Pandas dataframe to an Excel file with a line chart using Pandas and XlsxWriter.
##############################################################################
#
# An example of converting a Pandas dataframe to an xlsx file with a line
# chart using Pandas and XlsxWriter.
#
# Copyright 2013-2020, John McNamara<EMAIL_ADDRESS>#
import pandas as pd
import random
# Create some sample data to plot.
max_row = 21
categories = ['Node 1', 'Node 2', 'Node 3', 'Node 4']
index_1 = range(0, max_row, 1)
multi_iter1 = {'index': index_1}
for category in categories:
multi_iter1[category] = [random.randint(10, 100) for x in index_1]
# Create a Pandas dataframe from the data.
index_2 = multi_iter1.pop('index')
df = pd.DataFrame(multi_iter1, index=index_2)
df = df.reindex(columns=sorted(df.columns))
# Create a Pandas Excel writer using XlsxWriter as the engine.
sheet_name = 'Sheet1'
writer = pd.ExcelWriter('pandas_chart_line.xlsx', engine='xlsxwriter')
df.to_excel(writer, sheet_name=sheet_name)
# Access the XlsxWriter workbook and worksheet objects from the dataframe.
workbook = writer.book
worksheet = writer.sheets[sheet_name]
# Create a chart object.
chart = workbook.add_chart({'type': 'line'})
# Configure the series of the chart from the dataframe data.
for i in range(len(categories)):
col = i + 1
chart.add_series({
'name': ['Sheet1', 0, col],
'categories': ['Sheet1', 1, 0, max_row, 0],
'values': ['Sheet1', 1, col, max_row, col],
})
# Configure the chart axes.
chart.set_x_axis({'name': 'Index'})
chart.set_y_axis({'name': 'Value', 'major_gridlines': {'visible': False}})
# Insert the chart into the worksheet.
worksheet.insert_chart('G2', chart)
# Close the Pandas Excel writer and output the Excel file.
writer.save()
An example of converting a Pandas dataframe to an Excel file with a column chart using Pandas and XlsxWriter.
##############################################################################
#
# An example of converting a Pandas dataframe to an xlsx file with a grouped
# column chart using Pandas and XlsxWriter.
#
# Copyright 2013-2020, John McNamara<EMAIL_ADDRESS>#
import pandas as pd
# Some sample data to plot.
farm_1 = {'Apples': 10, 'Berries': 32, 'Squash': 21, 'Melons': 13, 'Corn': 18}
farm_2 = {'Apples': 15, 'Berries': 43, 'Squash': 17, 'Melons': 10, 'Corn': 22}
farm_3 = {'Apples': 6, 'Berries': 24, 'Squash': 22, 'Melons': 16, 'Corn': 30}
farm_4 = {'Apples': 12, 'Berries': 30, 'Squash': 15, 'Melons': 9, 'Corn': 15}
data = [farm_1, farm_2, farm_3, farm_4]
index = ['Farm 1', 'Farm 2', 'Farm 3', 'Farm 4']
# Create a Pandas dataframe from the data.
df = pd.DataFrame(data, index=index)
# Create a Pandas Excel writer using XlsxWriter as the engine.
sheet_name = 'Sheet1'
writer = pd.ExcelWriter('pandas_chart_columns.xlsx', engine='xlsxwriter')
df.to_excel(writer, sheet_name=sheet_name)
# Access the XlsxWriter workbook and worksheet objects from the dataframe.
workbook = writer.book
worksheet = writer.sheets[sheet_name]
# Create a chart object.
chart = workbook.add_chart({'type': 'column'})
# Some alternative colors for the chart.
colors = ['#E41A1C', '#377EB8', '#4DAF4A', '#984EA3', '#FF7F00']
# Configure the series of the chart from the dataframe data.
for col_num in range(1, len(farm_1) + 1):
chart.add_series({
'name': ['Sheet1', 0, col_num],
'categories': ['Sheet1', 1, 0, 4, 0],
'values': ['Sheet1', 1, col_num, 4, col_num],
'fill': {'color': colors[col_num - 1]},
'overlap': -10,
})
# Configure the chart axes.
chart.set_x_axis({'name': 'Total Produce'})
chart.set_y_axis({'name': 'Farms', 'major_gridlines': {'visible': False}})
# Insert the chart into the worksheet.
worksheet.insert_chart('H2', chart)
# Close the Pandas Excel writer and output the Excel file.
writer.save()
The following are some Python alternatives to XlsxWriter.
From the openpyxl documentation:
openpyxl is a Python library to read/write Excel 2010 xlsx/xlsm/xltx/xltm files.
From the xlwings webpage:
Leverage Python’s scientific stack for interactive data analysis using Jupyter Notebooks, NumPy, Pandas, scikit-learn etc. As such, xlwings is a free alternative to tools like Power BI or Tableau (Windows & Mac).
From the xlwt documentation:
xlwt is a library for writing data and formatting information to older Excel files (ie: .xls)
From the xlrd documentation:
xlrd is a library for reading data and formatting information from Excel files, whether they are .xls or .xlsx files.
The following are some libraries or applications that wrap or extend XlsxWriter.
Python Pandas is a Python data analysis library. It can read, filter and re-arrange small and large data sets and output them in a range of formats including Excel.
XlsxWriter is available as an Excel output engine in Pandas. See also See Working with Python Pandas and XlsxWriter.
XlsxPandasFormatter is a helper class
that wraps the worksheet, workbook and dataframe objects written by Pandas
to_excel()
method using the xlsxwriter
engine to allow consistent
formatting of cells.
This section lists known issues and bugs and gives some information on how to submit bug reports.
You may occasionally see an Excel warning when opening an XlsxWriter file like:
Excel could not open file.xlsx because some content is unreadable. Do you want to open and repair this workbook.
This ominous sounding message is Excel’s default warning for any validation error in the XML used for the components of the XLSX file.
The error message and the actual file aren’t helpful in debugging issues like this. If you do encounter this warning you should open an issue on GitHub with a program to replicate it (see Reporting Bugs).
The following exception, or similar, can occur if the close()
method
isn’t used at the end of the program:
Exception Exception: Exception('Exception caught in workbook destructor.
Explicit close() may be required for workbook.',)
in <bound method Workbook.__del__ of <xlsxwriter.workbook.Workbookobject
at 0x103297d50>>
Note, it is possible that this exception will also be raised as part of
another exception that occurs during workbook destruction. In either case
ensure that there is an explicit workbook.close()
in the program.
#NAME?
until editedThere are a few reasons why a formula written by XlsxWriter would generate a
#NAME?
error in Excel:
See Working with Formulas and Dealing with formula errors for a more details and a explanation of how to debug the issue.
Due to wide range of possible formulas and interdependencies between them XlsxWriter doesn’t, and realistically cannot, calculate the result of a formula when it is written to an XLSX file. Instead, it stores the value 0 as the formula result. It then sets a global flag in the XLSX file to say that all formulas and functions should be recalculated when the file is opened.
This is the method recommended in the Excel documentation and in general it works fine with spreadsheet applications. However, applications that don’t have a facility to calculate formulas, such as Excel Viewer, or several mobile applications, will only display the 0 results.
See Formula Results for more details and a workaround.
Images inserted into worksheets via insert_image()
may not display
correctly in Excel 2011 for Mac and non-Excel applications such as OpenOffice
and LibreOffice. Specifically the images may looked stretched or squashed.
This is not specifically an XlsxWriter issue. It also occurs with files created in Excel 2007 and Excel 2010.
In Excel, charts created from Worksheet Tables have a limitation where the data series name, if specified, must refer to a cell within the table.
To workaround this Excel limitation you can specify a user defined name in the table and refer to that from the chart. See Charts from Worksheet Tables.
Here are some tips on reporting bugs in XlsxWriter.
The bug you are reporting may already be fixed in the latest version of the module. You can check which version of XlsxWriter that you are using as follows:
python -c 'import xlsxwriter; print(xlsxwriter.__version__)'
Check the Changes in XlsxWriter section to see what has changed in the latest versions.
Read or search the XlsxWriter documentation to see if the issue you are encountering is already explained.
There are many Examples in the distribution. Try to identify an example program that corresponds to your query and adapt it to use as a bug report.
The official XlsxWriter Issue tracker is on GitHub.
A sample bug report is shown below. This format helps to analyze and respond to the bug report more quickly.
Issue with SOMETHING
I am using XlsxWriter to do SOMETHING but it appears to do SOMETHING ELSE.
I am using Python version X.Y.Z and XlsxWriter x.y.z.
Here is some code that demonstrates the problem:
import xlsxwriter workbook = xlsxwriter.Workbook('hello.xlsx') worksheet = workbook.add_worksheet() worksheet.write('A1', 'Hello world') workbook.close()
See also how How to create a Minimal, Complete, and Verifiable example from StackOverflow.
The section outlines some answers to frequently asked questions.
No.
XlsxWriter is designed only as a file writer. It cannot read or modify an existing Excel file.
Due to wide range of possible formulas and interdependencies between them XlsxWriter doesn’t, and realistically cannot, calculate the result of a formula when it is written to an XLSX file. Instead, it stores the value 0 as the formula result. It then sets a global flag in the XLSX file to say that all formulas and functions should be recalculated when the file is opened.
This is the method recommended in the Excel documentation and in general it works fine with spreadsheet applications. However, applications that don’t have a facility to calculate formulas, such as Excel Viewer, or several mobile applications, will only display the 0 results.
If required, it is also possible to specify the calculated result of the
formula using the optional value
parameter in write_formula()
:
worksheet.write_formula('A1', '=2+2', None, 4)
See also Formula Results.
Note: LibreOffice doesn’t recalculate Excel formulas that reference other cells by default, in which case you will get the default XlsxWriter value of 0. You can work around this by setting the “LibreOffice Preferences -> LibreOffice Calc -> Formula -> Recalculation on File Load” option to “Always recalculate” (see the LibreOffice documentation). Or, you can set a blank result in the formula, which will also force recalculation:
worksheet.write_formula('A1', '=Sheet1!$A$1', None, '')
Currently no. However, it is a planned features to allow cell formats and data to be written separately.
All supported features are documented. Future features are on the Roadmap.
Unfortunately, there is no way to specify “AutoFit” for a column in the Excel file format. This feature is only available at runtime from within Excel. It is possible to simulate “AutoFit” in your application by tracking the maximum width of the data in the column as your write it and then adjusting the column width at the end.
Although it is possible to password protect a worksheet using the Worksheet
protect()
method it isn’t possible to password protect the entire
workbook/file using XlsxWriter.
The reason for this is that a protected/encrypted xlsx file is in a different format from an ordinary xlsx file. This would require a lot of additional work, and testing, and isn’t something that is on the XlsxWriter roadmap.
However, it is possible to password protect an XlsxWriter generated file using a third party open source tool called msoffice-crypt. This works for macOS, Linux and Windows:
msoffice-crypt.exe -e -p password clear.xlsx encrypted.xlsx
Apart from this question, yes.
This section shows changes and bug fixes in the XlsxWriter module.
Deprecation Notice: Python 2.7 reached the end of its life on January 1st, 2020 and is no longer being supported in the community. XlsxWriter support for Python 2.7 will end after the first release in 2021 (probably in January 2021). No new features or fixes for Python 2.7 will be added to XlsxWriter after that date/release.
stacked
and percent_stacked
Line charts.ReservedWorksheetName
exception which was used with the reserved
worksheet name “History” since this name is allowed in some Excel variants.
Issue #688.add_write_handler()
.
Issue #677.protect()
about how it is possible to encrypt an
XlsxWriter file using a third party, cross platform, open source tool called
msoffice-crypt.max_url_length
property in the Workbook()
constructor.add_write_handler()
method to allow user defined types to be
handled by the write()
method. See Writing user defined types for more
information.
Feature request #631.close()
method to allow exceptions to be caught and handled. See
Example: Catch exception on closing. Also refactored the code to clean up temp files in
the event of an exception.
Issues #471
and #647.object_position
. The
previous parameter name positioning
is deprecated but still supported
for images.
Issue #568.file(1)
. The mime-type reported
by “file –mime-type”/magic was incorrect for XlsxWriter files since it
expected the [Content_types]
to be the first file in the zip container.
Issue #614.'num_format': '0'
in duplicate formats.
Issue #584.in_memory
files weren’t compressed.
Issue #573.write()
so that it handles array formulas as documented.
Issue #418.write_rich_string()
such as blank
strings, double formats or insufficient parameters.
Issue #425.label_align
property of the set_x_axis()
method.hide_row_col_headers()
method to turn off worksheet
row and column headings.
Issue #480.set_tab_ratio()
method to set the ratio between the
worksheet tabs and the horizontal slider.
Issue #481.close()
in the destructor since it wasn’t
guaranteed to work correctly and raised a confusing exception when any other
exception was triggered. Note that this is a backward incompatible
change. The with
context manager is a better way to close
automatically, see close()
.set_legend()
.
Issue #545.top_right
position to set_legend()
.
Issue #537.add_image()
method.set_properties()
created
date is set.
Pull request #495.set_column()
parameter names to match docs and other methods.
Note, this is a backward incompatible change.
Issue #504.write_url()
format to the Excel hyperlink style so that
it changes when the theme is changed and also so that it indicates that the
link has been clicked.
Feature request #455.stop_if_true
parameter to conditional formatting.
Feature request #386.-Werror
mode.
Issue #451.Workbook()
constructor option remove_timezone
and Timezone
Handling in XlsxWriter.
Issue #257.add_table()
when there is only one
user defined header.
Issue #380.add_format()
.
Issue #381.add_table()
to prevent duplicate header names which
leads to a corrupt Excel file.
Issue #362.set_size()
method to set the workbook window size.set_table()
.intercept
, display_equation
and display_r_squared
.
Feature request #357.insert_image()
issue when handling images with zero dpi.
Issue #356.set_custom_property()
method to set custom document
properties.
Feature request #355.get_worksheet_by_name()
method to allow the retrieval of a
worksheet from a workbook via its name.external:
urls where the target/anchor contains spaces.
Issue #350.set_center_across()
format method.write_url()
exception when the URL contains two #
location/anchors. Note, URLs like this aren’t strictly valid and cannot be
entered manually in Excel.
Issue #330.set_x_axis()
.hyperlink_base
document property.
Feature request #306.with
context manager.
Pull request #239.insert_textbox()
and
Working with Textboxes for more details.
Feature request #107.set_x_axis()
.
Feature request #185.nan_inf_to_errors
Workbook()
constructor option to allow
mapping of Python nan/inf value to Excel error formulas in write()
and
write_number()
.
Feature request #150.add_table()
.
Feature request #216.set_header()
.
Feature request #134.insert_image()
images from byte streams to allow
images from URLs and other sources.
Feature request #118.write_datetime()
support for datetime.timedelta.
Feature request #128.insert_chart()
and
set_size()
.insert_image()
to control how
images are moved in relation to surrounding cells.
Feature request #117.error_bar
exceptions.
Issue #115.write()
methods.
Issue #108.inside_base
data label position in charts.set_calc_mode()
method to control automatic calculation of
formulas when worksheet is opened. Thanks to Chris Tompkinson.use_zip64()
method to allow ZIP64 extensions when writing
very large files.in_memory
mode.
Issue #102.set_column()
entries.
Issue #82.set_title()
none
option to turn off automatic titles.define_name()
name validation.conditional_format()
.in_memory
Workbook()
constructor option to allow XlsxWriter
to work on Google App Engine.
Feature request #28.position_axis
chart axis option.write_url()
.Workbook()
constructor options strings_to_formulas
and
strings_to_urls
to override default conversion of strings in write().insert_image()
for images that extend
over several cells.write()
function.write_boolean()
function to write Excel boolean values. Feature request
#37. Also added
explicit handling of Python bool values to the write()
function.Workbook()
constructor option
strings_to_numbers
default option to False so that there is no implicit
conversion of numbers in strings to numbers. The previous behavior can be
obtained by setting the constructor option to True.
Note This is a backward incompatibility.Workbook()
constructor option strings_to_numbers
to
override default conversion of number strings to numbers in write().Workbook()
constructor option default_date_format
to
allow a default date format string to be set. Feature request
#5.Added worksheet tables. See Working with Worksheet Tables and Example: Worksheet Tables.
Tested with the new Python stable releases 2.7.4 and 3.3.1. All tests now pass in the following versions:
- Python 2.6
- Python 2.7.2
- Python 2.7.3
- Python 2.7.4
- Python 3.1
- Python 3.2
- Python 3.3.0
- Python 3.3.1
There are now over 700 unit tests including more than 170 tests that compare against the output of Excel.
set_default_row()
method. See Example: Hiding Rows and Columns.freeze_panes()
and split_panes()
methods.
See Example: Freeze Panes and Split Panes .set_selection()
method to select worksheet cell or range of
cells.Workbook()
parameters 'tmpdir'
and
'date_1904'
.Workbook()
'constant_memory'
constructor property to
minimize memory usage when writing large files. See Working with Memory and Performance
for more details.data_validation()
method, Working with Data Validation and Example: Data Validation and Drop Down Lists.write_datetime()
method. GitHub issue
#3.
Thanks to Eduardo (eazb) and Josh English for the prompt.conditional_format()
method,
Working with Conditional Formatting and Example: Conditional Formatting.Added Python 2.6 support. All tests now pass in the following versions:
- Python 2.6
- Python 2.7.2
- Python 2.7.3
- Python 3.1
- Python 3.2
- Python 3.3.0
write_comment()
and Working with Cell Comments.insert_image()
worksheet method to support inserting PNG and
JPEG images into a worksheet. See also the example program
Example: Inserting images into a worksheet.write_rich_string()
worksheet method to allow writing of
text with multiple formats to a cell. Also added example program:
Example: Writing “Rich” strings with multiple formats.hide()
worksheet method to hide worksheets.set_first_sheet()
worksheet method.protect()
worksheet method to allow protection of cells
from editing. Also added example program: Example: Enabling Cell protection in Worksheets.Added worksheet methods:
set_zoom()
for setting worksheet zoom levels.right_to_left()
for middle eastern versions of Excel.hide_zero()
for hiding zero values in cells.set_tab_color()
for setting the worksheet tab color.
write_row()
and write_column()
worksheet methods.write_url()
worksheet method for writing hyperlinks to
a worksheet.Added the set_properties()
workbook method for setting document
properties.
Added several new examples programs with documentation. The examples now include:
- array_formula.py
- cell_indentation.py
- datetimes.py
- defined_name.py
- demo.py
- doc_properties.py
- headers_footers.py
- hello_world.py
- merge1.py
- tutorial1.py
- tutorial2.py
- tutorial3.py
- unicode_polish_utf8.py
- unicode_shift_jis.py
define_name()
method to create defined names and ranges
in a workbook or worksheet.worksheets()
method as an accessor for the worksheets in a
workbook.merge_range()
method to merge worksheet cells.Added final page setup methods to complete the page setup section.
Added page setup method.
Added page setup methods.
Added Python 3 support with help from John Evans. Tested with:
- Python-2.7.2
- Python-2.7.3
- Python-3.2
- Python-3.3.0
Added page setup methods.
Added page setup method.
Added page setup methods.
XlsxWriter was written by John McNamara.
If you have questions about XlsxWriter here are some ways to deal with them:
Bug Reports:
See the Reporting Bugs section of the docs.
Feature Requests:
Open a Feature Request issue on Github issues.
Pull Requests:
See the Contributing Guide. Note, all Pull Requests must start with an Issue Tracker.
General Questions:
General questions about how to use the module should be asked on
StackOverflow.
Add the xlsxwriter
tag to the question.
Questions on StackOverflow have the advantage of (usually) getting several answers and it also leaves a searchable question for someone else.
Email:
If none of the above apply you can contact me at<EMAIL_ADDRESS>I write and maintain a series of open source libraries for creating Excel files. The most commonly used are XlsxWriter in Python, Libxlsxwriter in C and Excel::Writer::XLSX and Spreadsheet::WriteExcel in Perl.
My aim is to write well documented and well tested code that does what the user needs and doesn’t get in their way. You can help make this continue, or show your appreciation for work to date, by becoming a GitHub Sponsor.
Or make a one-off donation via PayPal.
XlsxWriter is released under a BSD license.
Copyright (c) 2013-2020, John McNamara<EMAIL_ADDRESS>All rights reserved.
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS “AS IS” AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED.
The views and conclusions contained in the software and documentation are those of the authors and should not be interpreted as representing official policies, either expressed or implied, of the FreeBSD Project.


DuoLingo - Russian
Pushups, situps and squats
15mins of new coding
2 liters of water
Posted on insta, facebook, linkedIn or twitter
Created a repo on GitHub
Played music
Kissed someone you love
Eat some fried chicken


{% extends 'base.html' %} {% block title %}Moundz Welcome{% endblock %} {% block h1%}{% endblock %} {% block content %}
Moundz is a Geosocial game that uses the multitude of existing geosocial networks to create an interactive and fun real-world and online game.
{% endblock %}