- THE VARIANTS -
Put everything in a cocktail mixer along with a few ice cubes. Cover and shake well. Either pour into a glass as it is, or serve over ice (suggest in an old fashioned class). I'd suggest a slice of lemon and some frozen cranberries as garnish.
To make the rosemary syrup, combine equal parts water and sugar in a pot. Add several sprigs of fresh rosemary. Heat mixture until just barely simmering and remove from heat. Let the syrup steep for 10 minutes, and then remove the rosemary. In a rocks glass combine the whiskey, rosemary syrup, and orange bitters. Add ice and stil to chill the drink. Garnish with a rosemary sprig and an orange peel.
Combine ingredients in an ice filled shaker and shake for 5-10 seconds then Strain into an ice filled rocks glass
Fill serving glass with ice, tequila and juice. Add grenadine, garnish with cherry or mandarin and serve.
Pour all ingredients into a rocks glass over ice. Stir gently and garnish with an orange wedge.
Fill a cocktail shaker with ice. Add the gin, vodka and Lillet Blanc. Shake well and strain into a chilled martini glass. Garnish with the stuffed olives.
Pour expresso shot (30ml)and set aside. Combine the vodka, Kahlua and Godiva liqueur in a cocktail shaker with no ice. Add the espresso last and then fill with a cup of ice. To add the chocolate drizzle to the glass. Place a little chocolate syrup at the top of the glass and let gravity do the rest. Shake vigorously for 10 seconds and serve straight up in a chilled martini glass. Garnish with chocolate covered espresso beans.
Fill glasses with ice. Preferably copper cups, but any cocktail glass will work. Add 2 oz vodka, 6 oz ginger beer & 1 oz lemon juice to the glass. Add a couple leaves of fresh basil to glass. Stir all of the ingredients together, then serve.
Add the rum, bourbon, juice, syrup and bitters into a shaker with ice, and shake until well-chilled.Strain into a Collins glass over fresh ice.Top with the ginger beer.Garnish with 2 pineapple fronds and freshly grated nutmeg.
 Let it set for 4 days, then strain out solids through a fine-mesh strainer.
Mix Bacardi, Malibu, Sugar syrup, coconut milk and lime juice in a cocktail shaker half-filled with ice. Top with coconut water, seal and shake for 30 seconds. Decorate the glass by dipping rim in water, then inverting onto a plate of raw sugar. Pour drink carefully into a glass filled with ice. Add a slice of lime to serve.


Mammoth Lakes, with the near 12,000ft. Mammoth Mountain is probably the largest ski area of California. Angelinos can literally go to the beach in the morning and ski in Mammoth in the afternoon, taking the beautiful drive along the eastside of the Sierra Nevada Mountain range on US 395
Mammoth has a lot of other things to offer, besides skiing. As the name suggests, there are plenty of lakes in the area you can go to to camp and then hike to the ones at higher elevations
You can take a trip to nearby Devils Postpile, a must see freak of nature, and Rainbow Falls
In the summer time it is a paradise for mountain bikers and all year long it is by far, together with the town of Bishop, 50 miles to the south, the only city along US395
text about Mono Lake


10.Boucher, O. et al. Clouds and aerosols. In
Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental
Panel on Climate Change (eds. Stocker, T. F. et al.) 571–658 (Cambridge University
Press, Cambridge, United Kingdom, and New York, NY, USA, 2013).


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public interface ITKMessage
ITKMessageProperties
. | Modifier and Type | Method and Description |
|---|---|
String |
getBusinessPayload()
Obtains the business payload portion of the message to be transmitted via
the ITK transport and distribution infrastructure.
Note: those (ADT v2 pipe and hat) messages that ITK requires to be base64 encoded when being transmitted will not be encoded - i.e. |
String |
getFullPayload()
Obtains the full ITKMessage including any wrappers
|
ITKMessageProperties |
getMessageProperties()
Obtains the
ITKMessageProperties associated with this
message. |
ITKTransportRoute |
getPreresolvedRoute()
Obtains any pre-resolved
ITKTransportRoute associated
with this ITKMessage.A pre-resolved transport route might be present if this ITKMessage instance is a response where the return address is already known (e.g. |
boolean |
isResponse()
Indicates whether this ITKMessage instance is
in response to a request message such as a query
|
void |
setBusinessPayload(String businessPayload)
Sets the business payload portion of the message to be transmitted via
the ITK transport and distribution infrastructure.
Note: those (ADT v2 pipe and hat) messages that ITK requires to be base64 encoded when being transmitted must not need to be pre-encoded - i.e. |
void |
setMessageProperties(ITKMessageProperties itkMessageProperties)
Sets the
ITKMessageProperties associated with this
message. |
ITKMessageProperties getMessageProperties()
ITKMessageProperties
associated with this
message. These properties provide relevant addressing and meta-data
about the message.null
if no ITKMessageProprties have been set.void setMessageProperties(ITKMessageProperties itkMessageProperties)
ITKMessageProperties
associated with this
message. These properties provide relevant addressing and meta-data
about the message.itkMessageProperties
- the ITKMessageProperties associated with the message.void setBusinessPayload(String businessPayload)
businessPayload
- A string representation of the business payload messageString getBusinessPayload()
String getFullPayload() throws ITKMessagingException
getBusinessPayload()
ITKMessagingException
- If there is an error serialising the
full ITKMessageITKTransportRoute getPreresolvedRoute()
ITKTransportRoute
associated
with this ITKMessage.<wsa:ReplyTo/>
address provided in the request), or because the application layer
has already resolved the ITKTransportRoute
for the target
destination.ITKTransportRoute
if present, or
null
otherwise. If no pre-resolved transport route is
present it is the responsibility of the implementation to determine
the ITKTransportRoute
via the
DirectoryOfServices.resolveDestination(String, uk.nhs.interoperability.infrastructure.ITKAddress)
method callboolean isResponse()
true
if this message is a
response, false
otherwise.All content is available under the Open Government Licence, except where otherwise stated
All example source code is available under Apache 2.0, except where otherwise stated


Projects
Display any file, group of files, or folder as a bitmap image made from the raw bytes of the file. Save and load pictures, sort them and extract the unique colors. Export a series of images made from a group of files using the Large File Processor.
DetailsIronArc is a virtual machine running a simple custom instruction set. The IronArc host will run multiple VMs and provide access to the machines using the Debugger. Attach virtual and physical hardware (terminals, I/O, and disk access). This is not meant for production or serious use - it is a learning exercise in low-level programming.
DetailsA browser-based incremental/clicker game. Click for units to buy items that make you more units! Buy powerful upgrades and unlock achievements!
Details


Solve the sudoku!
Info: Input the sudoku as an 81 character string with blank values denoted by a '.' dot character.


Your privacy is important to us. We will make every effort to protect your privacy.
The data we collect through the app is encrypted on the phone. This means your data is protected. Unauthorized people cannot easily understand your data when it is encrypted.
We will separate the account information that identifies you from your study data. Your account information will not be stored with your survey responses or app measurements.
Instead of using your name, we will use a code to label your study data. The code is random. It is not based on any information that identifies you. Information about the code is stored in a separate database on a secure server. Only key people from our study team can link your identity to your study data.
Results of this study will be made public. When results are made public, only coded study data will be used. Your identity will not be shared.
If required by law, we may give your contact information and identifiable study data to:


Otlobly
Products
Users
Manual Order
Checks
Logout
Admin
All Products
Add Product
Product
Price
Image
Status
Action


{% extends 'base.html' %} {% load staticfiles %} {% block content %}
Welcome {{ user.username }}. Exchange your goods with other goods.
Exchange your goods with other goods.
{{ field.help_text|safe }}


[1] amazing lineup of control sleek design backed by great marketing very popular appeals to develop games as Xbox 's service.
[2] amazing lineup of control sleek design backed by great marketing very popular appeals to every audience online gaming difficulty playing some games as Xbox 's service.


Next: *print-miser-width*, Previous: *print-level*, Up: Printer Dictionary
a non-negative integer, or nil.
nil.
When the value of *print-lines* is other than nil, it is a limit on the number of output lines produced when something is pretty printed. If an attempt is made to go beyond that many lines, ".." is printed at the end of the last line followed by all of the suffixes (closing delimiters) that are pending to be printed.
(let ((*print-right-margin* 25) (*print-lines* 3)) (pprint '(progn (setq a 1 b 2 c 3 d 4)))) |> (PROGN (SETQ A 1 |> B 2 |> C 3 ..)) ⇒ <no values>
The ".." notation is intentionally different than the "..." notation used for level abbreviation, so that the two different situations can be visually distinguished.
This notation is used to increase the likelihood that the Lisp reader will signal an error if an attempt is later made to read the abbreviated output. Note however that if the truncation occurs in a string, as in "This string has been trunc..", the problem situation cannot be detected later and no such error will be signaled.


Duration: August 2016- October 2017
Team: Ashwath Anand, Mayo Tobita, Ben Lerchin, Jordan Lawler, J.P.Zundel, Emily O'Hara
My role: Technical program manager
Tech stack: Contentful CMS, react.js, node.js, express, heroku, bugherd
Website: shyp.com
As technical program manager, I was part of the decision-making team that determined deadlines and deliverables. I owned the scrum process from doing stand-ups, delegating tasks and coordinating between Junior's design team, Junior's tech team and Shyp's tech team. I also owned the QA process, done mostly through Bugherd. I also made significant contributions to the UX design of the estimator tool.
The development framework I setup for Shyp was very helpful to finish the project with high quality and on time. With my combined learnings from Managing the development process of our projects with shyp, Amnesty's Fear of the sky and pocktVR to setup the development framework at Junior.
Make sure you also try out Shyp's new pricing estimatorCopyright 2017 Ashwath Anand


Simon Thomas praises Mauricio Pochettino for writing to him when his wife died
TV presenter Simon Thomas confessed Mauricio Pochettino was the only manager to write personally write to him after his wife died.
His comments came after Tottenham released a statement announcing Pochettino had been ‘relieved of his duties’ after five years in the hot seat, along with his coaching staff Jesus Perez, Miguel D’Agostino and Antoni Jimenez.
The former Blue Peter host’s wife Gemma died of an aggressive form of blood cancer two years ago and the Argentine Football Manager reached out to him.
Taking to Twitter to share his thoughts, the 46-year-old tweeted: ‘When my wife died very suddenly two years ago, the one manager who took the time to write personally to me was Mauricio Pochettino and it was a heart felt letter. Class manager even better man.’
Gemma and Simon wed in 2005 and were married for 12 years before her tragic and sudden death.
Advertisement Advertisement
Fans were quick to comment on the post, praising the former Tottenham Hotspur manager for being a ‘class act’.
‘Im not suprised. He is a class act and above all a people’s man,’ one user tweeted.
Another tweeted: ‘Same with my dad, he wrote to him when he was diagnosed with cancer. Lovely man.’
The former Sky Sports presenter wrote a book on his experience of dealing with grief, called Love, Interrupted: Navigating Grief One Day At A Time, in which he describes the guilt he felt about not insisting on medical help sooner for Gemma.
‘In her final week, she went to the GP twice, but each time was sent home without even a blood test. Whenever I relive that time in my mind, the guilt is always there, nagging away at me,’ he wrote.
 Why didn’t you pick her up, carry her to the car and take her straight to hospital before it got so bad?”.’
Got a showbiz story?
If you've got a story, video or pictures get in touch with the Metro.co.uk Entertainment team by emailing us<EMAIL_ADDRESS>calling 020 3615 2145 or by visiting our Submit Stuff page - we'd love to hear from you.


Rich set of container classes, supporting both simple use cases and sophisticated layouts (including CSS flexbox, CSS grid and Bootstrap responsive 12 columns gid).
enum class DIRECTION
Split panel direction. |
|
open class DockPanel : SimplePanel
The container with dock layout (up, down, left, right and center positions). |
|
enum class FLEXALIGNCONTENT
CSS flexbox content alignment options. |
|
enum class FLEXALIGNITEMS
CSS flexbox alignments options. |
|
enum class FLEXDIR
CSS flexbox directions. |
|
enum class FLEXJUSTIFY
CSS flexbox justification options. |
|
enum class FLEXWRAP
CSS flexbox wrap modes. |
|
open class FlexPanel : SimplePanel
The container with CSS flexbox layout support. |
|
enum class GRIDALIGN
CSS grid alignment options. |
|
enum class GRIDALIGNCONTENT
CSS grid content alignment options. |
|
enum class GRIDFLOW
CSS grid flow options. |
|
enum class GRIDJUSTIFY
CSS grid justification options. |
|
enum class GRIDJUSTIFYCONTENT
CSS grid content justification options. |
|
enum class GRIDSIZE
Bootstrap grid sizes. |
|
open class GridPanel : SimplePanel
The container with CSS grid layout support. |
|
class GridWrapper : WidgetWrapper |
|
open class HPanel : FlexPanel
The container with horizontal layout. |
|
open class ResponsiveGridPanel : SimplePanel
The container with support for Bootstrap responsive grid layout. |
|
class Root : SimplePanel
Root container. |
|
enum class SIDE
Dock layout directions. |
|
open class SimplePanel : Widget, Container
Basic container class, rendered as a DIV element with all children directly within. |
|
open class SplitPanel : SimplePanel
The container with draggable splitter. |
|
open class StackPanel : SimplePanel
The container with only one active (visible) child at any moment. |
|
open class TabPanel : SimplePanel
The container rendering it's children as tabs. |
|
open class VPanel : FlexPanel
The container with vertical layout. |


URL (anything inside [ ] is url encoded):
JSON INPUT:
Method:
GET
POST
PUT
PATCH
MERGE
DELETE
X-Method:
-NONE-
GET
PUT
PATCH
MERGE
DELETE
X-Folder-Name:
X-DreamFactory-Api-Key:
X-DreamFactory-Session-Token:
Authorization Header:
Accept Header:
HTTP Auth username:
HTTP Auth password:
SUBMIT
File upload tests
For authentication use a JWT in the 'X-DreamFactory-Session-Token' field above
Test importing users via file:
Test importing package file:
Import file:
Password:
OUTPUT:


CPanel
Connect
Disconnect
Not connected
Start task
Workers: 0
Tasks in queue: 0
Workers
Platform
State
Task ID
Tasks in queue
ID
Input
Output
Ready tasks
ID
Input
Output
×
UTF-8
Hex
C Array


[1]
Camera. Screen. Menus. Size. Speed. Customer Service; Battery Life. Battery Cover. Startup Time
[2]
Everything; None at all


{% extends "base.html" %} {% load static %} {% load widget_tweaks %} {% block title %}
Let us help you make a fortune on the cryptocurrency market.  Don't miss out and get in touch today!


Rune Manager
Here is a quick guide to the things in this program.
This version of the Guide was created for <IP_ADDRESS>, so stuff may have changed.
Build Creating
Build Testing
Options
If you click some of the headers/titles, you can show/hide the section
Updates
Clearly the most important.
If you didn't know how to use the program and I released a user guide, how would you know to get it?
The "What's New" button will give a little info on the latest additions.
The "Download" button will direct to a webpage to grab the latest version
Monsters
The first thing you'll want, is to load up your Monsters and Runes.
Currently, you can either manually enter them in through
SWarFarm
or grab them by using
SW Proxy.
You'd need to [Name] > Import/Export > Export Optimizer JSON from SWarFarm.
Once you've got a nice JSON file (like 12345678-optimizer.json from SWProxy), click the nice 'Load' button like below.
You will definately want to load this save on start-up.
If you've already got a start-up save, it will ask if you want to overwrite it.
So this is the list of all the monster that it dug out of save.json
Priority is mostly harmless, ID and Name are loaded from the Save for each Monster.
Double-clicking an entry will create a
build.
Buttons
Do mostly nothing.
Do mostly nothing.
Create a build for the selected Monster.
Reload the entire save (Monsters & Runes).
Unequips all the runes from all the Monsters.
Unequips all the runes from the selected Monsters.
Builds
First off, this box:
If you want to use currently equipped runes in new builds, check it.
If you want to update runes without shuffling them around, uncheck it.
This is the list of builds you've made.
The priority is a nice number to show which order they are generated in (how they appear on the list).
ID and Name is the monsters, check the Monster list.
Progress is either how far it's through generating builds, or the result (100% or fail!)
Double-clicking an entry will allow you to modify the
build.
Buttons
Move a build up in the order.
Move a build down in the order.
Remove a build from the list.
Run the selected build.
Save all builds & changes. Also happens when you close the program.
Force unlocks all the runes.
Removes all loadouts, runs all builds.
Runs all builds before the selected build.
Runs all builds that don't have a loadout.
Loadouts
Here's all the fresh builds.
This list contains a loadout that was generated based on the selected criteria in the associated build.
ID and Name is for the Monster used in the loadout.
Swap is either a number which is the number of runes changed, or two numbers (0/3) which is swapped runes that are [unassigned runes] / [assigned to different monster]
Up is the sum of the level-ups required.
Time is the number of seconds it took to generate the build, helpful if you leave a lot running and you want to find
the long ones.
Buttons
Removes loadout, unlocking the runes.
Removes all loadouts, unlocking runes.
Locks the runes in the selected loadouts.
Looks at these sweet stats.
I've tried to make it look like what you'd see in Summoners War.
The problem is, with Leader and Shrines, you'll see less stats. :(
Clicking any of the runes will show a box like...

Again, it's styled after Summoners War, but with extra info like it's Rune ID (the number in square brackets)
Also, the +LEVEL is under the innate and the current location is at the bottom
The Find Slot button will show all the runes you have for that slot.
Shrines
Here you can set what level/effect your shrines have.
More will be added later.


Thu Jan 8, 2015
Ah, January. A new year always brings on a fresh batch of fresh-faced fools who hit the road hard until fading back into obscurity by February. Don’t judge me as a snob - I don’t find pleasure in bragging about every run I take by posting a map of my running route on Facebook (yes, people actually do this).
But at least allow me to establish my credibility. I’ve been running regularly three days a week for the past five years. To put this in perspective, I’ve run about 4320 km over these past five years, which is roughly equivalent to running from Vancouver to San Diego and back. Or in other words, only 300,000 km more to get to the moon.
Every single run I’ve taken for this period has been on the same route at the same time. So, I know who the regulars are (there aren’t many). I think that gives me the right to shake my head at the poseurs that run fleetingly through my hood from time to time.
But maybe you’re serious about your New Year’s resolution to get fit and start running. In that case, I want to help you. There’s nothing I’d like more than to see some more regulars out there sharing the pain and glory. If you’re interested in becoming a bona fide runner - these are some tips. Take this advice for what it is - a personal reflection on how I ended up being a runner, not actual medical advice or a panacea to achieving your shiny new goal.
Let me get this out the way first: your resolution to start running in the New Year will probably fail. January is a terrible time to start running outdoors (in the Northern Hemisphere that is - if you live in Australia then go for it). If you really want to run through the winter, start in the Spring. Over the coming seasons, your body will slowly acclimatize to the changing temperatures. By the time January comes around, you’ll hardly notice the cold, where noobs will be choking on the frigid winds blowing down from the Arctic.
If you heed just one piece of advice, this is it: the only way you will ever stick with running is if you make it a habit. Physiologically, there is no difference between a bad habit and a good habit.  It’s the same with running. There will certainly be days when you don’t feel like running. There will even be days when you hate every minute of your run. But take solace in the fact that you will almost always feel better after your run. Whether that’s because of the exercise or because you’re just so relieved it’s over, you will be glad you made the effort.
By the way, when I talk about forming a habit, I’m not talking about chasing after the so-called runner’s high. You might get that rush of endorphins at first, but your body will quickly adapt. Like the drug addict who yearns for the rush of his first high by escalating his drug intake, you will eventually reach a plateau. You will only get a heart attack if you try to push past it.
You’ll definitely need some help to get going. The only reason I’m running today is because I initially joined a running group. Over the years, people dropped out and the group disbanded. But by then it didn’t matter because running was a habit. And true habits are hard to break. Running solo is no problem for me now because I don’t need inspiration or somebody to kick me in the butt. The dogged, inexorable call of habitual action forces me out there every time. Honestly, I’m not into sports. I would rather read a book than run. But skipping a run is like skipping the next episode of a TV show you’ve been watching for a few months. Even though it turned out to be a terrible show, you can’t abandon it now.
Habits are even harder to break when you schedule them into your routine. Like you, I’m a busy guy with a full-time job, young kids, and all the rest of it. I don’t know about you, but there’s no way I would ever wake up at the crack of dawn to run before work. I might force myself to do it for a while, but that all-powerful nemesis called “sleep” would win that battle in the end. Running after dinner is also tough when you have family and in the winter it’s just as dark and gloomy as the morning.
The absolutely best time to run is on your lunch break. If your place of employment has a shower, then you’re all set. Running midday is awesome for several reasons: It’s the warmest time of the day and it usually isn’t raining.  Lunch is at the same time everyday - you won’t find any other block of time that is so regular. It is precious time away from work that you can use wisely. You can always munch on lunch at your desk after the run.
To avoid injuries, you should take the next day to recover. So a Monday, Wednesday, Friday run works well. Speaking of injuries, briefly stretch before and after the run. Also, the fastest way to get an injury is to sprint your way to one. Just run at a steady pace and forget about interval training unless you know what you’re doing. Listen to your body. If you’re extremely short of breath, feel like fainting and you throw up, then you’re overdoing it. No smartwatch could tell you that in any more certain terms.
Here are some additional tidbits:
Don’t run in bad weather. Just take the day off. Nothing screams “poseur” more than some dude stoically running through a rain storm. Also, you’ll quickly associate running with torture and drop the habit.
Don’t run hungry.  If you’re weak and lethargic, your run will feel like torture (see point 1 above).
Don’t overdress in cold weather. I’m not kidding - if it’s above 5 degrees celsius then all you need is shorts and a T-shirt. Especially if you’re acclimatized. Wear a light windbreaker and gloves if it’s below 5.
Always wear a hat. It’ll keep the sun and sweat out of your eyes.
Nobody gives a toss what sort of running shoes you wear unless they’re Vibram FiveFingers, which are unbelievably dorky and should never be worn under any circumstances.
Just enjoy it. Sure, you could get some inspiration by training for a race and trying to beat your times, but when the race is over, what then? Just breathe the air and watch the seasons change. Look at the wind rustling through the leaves, and the clouds scurrying in the sky. Leave the smartphone behind and just relax for an hour without the distractions of life bursting your zen bubble. Let your thoughts wander and the answer to a problem that’s been bugging you will come to you unexpectedly. Or you will come up with a brilliant shower thought to post on Reddit.


{% extends 'pbmrs/base.html' %}
{% block title %}
{{ title }}
{% endblock %}
{% block body %}
About Personality Based Music Recommendation
To get personality based music recommendation you have to signup using your social media account (currently facebook only).
After signing up user can find recommended music just for you.
Top Five Personality Traits
Openness
Openness to Experience: Openness is a general appreciation of art, emotion, adven-
ture, unusual ideas, imagination, curiosity, and variety of experience. The tend to
be more creative and more aware of their feelings.They are also most likely to hold
unconventional beliefs. Some sample items used by person with this traits are:
I have an excellent ideas.
I am quick to understand things.
I am full of ideas.
Conscientiousness
Conscientiousness is a tendency to display self-discipline, act du-
tifully and strive for achievement againts measures or outside expectations. It is related
to the way in which people control, regulate and direct thier impules.The level of con-
scientiousness rises among young adults and then declines among older adults. Some
sample items used by person with this traits are:
I follow a schedule.
I am exact in my work.
I am always prepared.
Extraversion
Extraversion is characterized by breadth of activities, surgency from
external activity/situations and energy creation from external means. Extraverts enjoy
interacting with people and are often perceived as full of energy. They tend to be
enthusiastic, action-oriented indivduals. They posses high group visibililty, like to talk
and assert themselves. Some sample items used by person with this traits are:
I love the life of the party.
I don’t mind being the center of attention.
I feel comfortable around the people.
Agreeableness
The agreeableness trait reflects individual differences in general con-
cern for social harmony. Agreeable individuals value getting along with others. They
are generally considerate, kind, generous, trusting and trustworthy, helpful and willing
to compromise their interests with others. They also have optimistic view of human
nature. Some sample items used by person with this traits are:
I have a soft heart.
I am interested in people.
I take time out for others.
Neuroticism
Neuroticism is the tendency to experience negative emotions, such as
anger, anxiety or depression.


Check Out our "Buy It Now" Items
Your next great find is just a click away. Clothes to Toys, Household items to one-of-a-kind deals.
---
title: Home
description: The eBay seller AnnetteWadeJosh now has a Webstore.
image: https://res.cloudinary.com/dc6ikvlwb/image/upload/v1540701147/ipad-820272_960_720.jpg
bottom_image: https://res.cloudinary.com/dc6ikvlwb/image/upload/v1540701146/gift-1420830_960_720.jpg
---
AnnetteWadeJosh has loads of amazing deals. Each Item is in Great Condition.Take a Look
Your next great find is just a click away. Clothes to Toys, Household items to one-of-a-kind deals.
Are you going to the beach? What about a Costume Party? You can find the special thing you are looking for here.
Do you play Mini Wargames? Did you know we sell Bases? Take a look at our Inventory.
The eBay seller AnnetteWadeJosh now has a Webstore.


#include "BulletCollision/BroadphaseCollision/btCollisionAlgorithm.h"
Go to the source code of this file.


Papi's Pizza
1. Choose Your Size
Small = $8.00
Medium = $12.00
Large = $16.00
Extra Large = $20.00
2. Choose Your Toppings
Papi only uses the most gourmet Toppings. Eat your fill.
Pepperoni
Sausage
Onions
Olives
Kale
Potato
Hot Pepper
Ricotta
Basil
Pizza!
3. Submit Your Papi Pizza Order
Enjoy these delicious toppings straight from the Papi garden:
Thank you for choosing Papi!


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We got the bug for a little backpacking in November and decided to go to Pt Reyes. Pt Reyes is not backcountry camping because there are pit toilets and potable water, but the destination is beautiful and I admit it is pretty nice not to have to dig a hole to go to the bathroom.
We spent two nights, one just off the water in Wildcat Camp, and one up on the ridge in Sky Camp. We parked at the Bear Valley Visitor Center (park headquarters), and had a 7 mile day down to Wildcat Camp on the coast, an 8 mile day past Arch Rock and back up to Sky Camp, and finally a 4 mile route over Mt Whittenburg and back out to the trailhead.
We had absolutely perfect weather, so nice that I plan to return every November that I can, and may even try January.
The trailhead at Bear Valley Visitor Center.
An irresistible log off trail on the early part of the double track Bear Valley trail.
Lunch in Divide Meadow.
Looping around south of Glen Camp on the Glen Trail.
On the ridge above Wildcat Camp. Ridiculously peaceful ocean in the background. Our campsite was near the water right by the cut to the left of Robert.
On the way out for a short (~3 mile) diversionary hike from Wildcat Camp to the north.
Happy hikers. Ridiculously calm ocean in the background. I still cant believe how little wind there was.
 We intended to make it there but decided we had enough hiking for the day and returned to camp.
Eating dinner back at Wildcat Camp.
We got up at 4:15 to see the Lunar eclipse and were somewhat disappointed.
On the way back up the hill from Wildcat to the Coast Trail. There was quite a bit of up and down on this hike.
John on the Coast Trail.
Erick and Robert on the Coast Trail. Note the quite large pack that Erick is carrying!
More of the beautiful Coast Trail. I will note that parts of this trail appear to be an erosian channel: very narrow and not much fun to hike on, but overall we enjoyed the trails.
Overlooking Arch Rock. Just ahead the trail plummets down to the coast and then we have a big nasty climb back up to Sky Camp which is above this elevation on the upper right of the picture.
We had lunch above Arch Rock and Robert took 37 million pictures of this critter. Only these two came out.
Partway back up the slog to Sky Camp. Perfect weather indeed.
Only 1/2 a mile to go with 8 miles and alot of delta Z behind us.
Dinner at Sky Camp. I dehydrated some of Larissa's homemade chili and it worked out great! A new backpacking must have.
Erick all bundled up for night time. Once we were in the tent we were very warm.
Saddled up for the 4 miles hike over Mt Whittenburg on the way back to the Bear Valley trailhead.


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My first photography exposition is ready and waiting for your feedback!
It's a collection of some shots of my first approach to street photography, most of them taken place in the city of Porto.
So, if you're on the neighborhood of Porto and you wanna see some raw street photography (and, who knows, buy a piece of original clothing), come by the Absolutribut store from 12-09 to 24-09!


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Working with PDB Structures in DataFrames
Loading PDB Files
There are 2 1/2 ways to load a PDB structure into a PandasPdb
object.
1
PDB files can be directly fetched from The Protein Data Bank at http://www.rcsb.org via its unique 4-letter after initializing a new PandasPdb
object and calling the fetch_pdb
method:
from biopandas.pdb import PandasPdb
# Initialize a new PandasPdb object
# and fetch the PDB file from rcsb.org
ppdb = PandasPdb().fetch_pdb('3eiy')
2 a)
Alternatively, we can load PDB files from local directories as regular PDB files using read_pdb
:
ppdb.read_pdb('./data/3eiy.pdb')
<biopandas.pdb.pandas_pdb.PandasPdb at 0x11912b710>
[File link: 3eiy.pdb]
2 b)
Or, we can load them from gzip archives like so (note that the file must end with a '.gz' suffix in order to be recognized as a gzip file):
ppdb.read_pdb('./data/3eiy.pdb.gz')
<biopandas.pdb.pandas_pdb.PandasPdb at 0x11912b710>
[File link: 3eiy.pdb.gz]
After the file was succesfully loaded, we have access to the following attributes:
print('PDB Code: %s' % ppdb.code)
print('PDB Header Line: %s' % ppdb.header)
print('\nRaw PDB file contents:\n\n%s\n...' % ppdb.pdb_text[:1000])
PDB Code: 3eiy
PDB Header Line: HYDROLASE 17-SEP-08 3EIY
Raw PDB file contents:
HEADER HYDROLASE 17-SEP-08 3EIY
TITLE CRYSTAL STRUCTURE OF INORGANIC PYROPHOSPHATASE FROM BURKHOLDERIA
TITLE 2 PSEUDOMALLEI WITH BOUND PYROPHOSPHATE
COMPND MOL_ID: 1;
COMPND 2 MOLECULE: INORGANIC PYROPHOSPHATASE;
COMPND 3 CHAIN: A;
COMPND 4 EC: <IP_ADDRESS>;
COMPND 5 ENGINEERED: YES
SOURCE MOL_ID: 1;
SOURCE 2 ORGANISM_SCIENTIFIC: BURKHOLDERIA PSEUDOMALLEI 1710B;
SOURCE 3 ORGANISM_TAXID: 320372;
SOURCE 4 GENE: PPA, BURPS1710B_1237;
SOURCE 5 EXPRESSION_SYSTEM
...
The most interesting / useful attribute is the PandasPdb.df
DataFrame dictionary though, which gives us access to the PDB files as pandas DataFrames. Let's print the first 3 lines from the ATOM
coordinate section to see how it looks like:
ppdb.df['ATOM'].head(3)
| record_name | atom_number | blank_1 | atom_name | ... | segment_id | element_symbol | charge | line_idx | |
|---|---|---|---|---|---|---|---|---|---|
| 0 | ATOM | 1 | N | ... | N | NaN | 609 | ||
| 1 | ATOM | 2 | CA | ... | C | NaN | 610 | ||
| 2 | ATOM | 3 | C | ... | C | NaN | 611 |
3 rows × 21 columns
But more on that in the next section.
Looking at PDBs in DataFrames
PDB files are parsed according to the PDB file format description. More specifically, BioPandas reads the columns of the ATOM and HETATM sections as shown in the following excerpt from http://deposit.rcsb.org/adit/docs/pdb_atom_format.html#ATOM.
| COLUMNS | DATA TYPE | CONTENTS | biopandas column name |
|---|---|---|---|
| 1 - 6 | Record name | "ATOM" | record_name |
| 7 - 11 | Integer | Atom serial number. | atom_number |
| 12 | blank_1 | ||
| 13 - 16 | Atom | Atom name. | atom_name |
| 17 | Character | Alternate location indicator. | alt_loc |
| 18 - 20 | Residue name | Residue name. | residue_name |
| 21 | blank_2 | ||
| 22 | Character | Chain identifier. | chain_id |
| 23 - 26 | Integer | Residue sequence number. | residue_number |
| 27 | AChar | Code for insertion of residues. | insertion |
| 28 - 30 | blank_3 | ||
| 31 - 38 | Real(8.3) | Orthogonal coordinates for X in Angstroms. | x_coord |
| 39 - 46 | Real(8.3) | Orthogonal coordinates for Y in Angstroms. | y_coord |
| 47 - 54 | Real(8.3) | Orthogonal coordinates for Z in Angstroms. | z_coord |
| 55 - 60 | Real(6.2) | Occupancy. | occupancy |
| 61 - 66 | Real(6.2) | Temperature factor (Default = 0.0). | bfactor |
| 67-72 | blank_4 | ||
| 73 - 76 | LString(4) | Segment identifier, left-justified. | segment_id |
| 77 - 78 | LString(2) | Element symbol, right-justified. | element_symbol |
| 79 - 80 | LString(2) | Charge on the atom. | charge |
Below is an example of how this would look like in an actual PDB file:
Example:
1 2 3 4 5 6 7 8
12345678901234567890123456789012345678901234567890123456789012345678901234567890
ATOM 145 N VAL A 25 32.433 16.336 57.540 1.00 11.92 A1 N
ATOM 146 CA VAL A 25 31.132 16.439 58.160 1.00 11.85 A1 C
ATOM 147 C VAL A 25 30.447 15.105 58.363 1.00 12.34 A1 C
ATOM 148 O VAL A 25 29.520 15.059 59.174 1.00 15.65 A1 O
ATOM 149 CB AVAL A 25 30.385 17.437 57.230 0.28 13.88 A1 C
ATOM 150 CB BVAL A 25 30.166 17.399 57.373 0.72 15.41 A1 C
ATOM 151 CG1AVAL A 25 28.870 17.401 57.336 0.28 12.64 A1 C
ATOM 152 CG1BVAL A 25 30.805 18.788 57.449 0.72 15.11 A1 C
ATOM 153 CG2AVAL A 25 30.835 18.826 57.661 0.28 13.58 A1 C
ATOM 154 CG2BVAL A 25 29.909 16.996 55.922 0.72 13.25 A1 C
After loading a PDB file from rcsb.org or our local drive, the PandasPdb.df
attribute should contain the following 4 DataFrame objects:
from biopandas.pdb import PandasPdb
ppdb = PandasPdb()
ppdb.read_pdb('./data/3eiy.pdb')
ppdb.df.keys()
dict_keys(['ATOM', 'HETATM', 'ANISOU', 'OTHERS'])
[File link: 3eiy.pdb]
- 'ATOM': contains the entries from the ATOM coordinate section
- 'ATOM': ... entries from the "HETATM" coordinate section
- 'ANISOU': ... entries from the "ANISOU" coordinate section
- 'OTHERS': Everything else that is not a 'ATOM', 'HETATM', or 'ANISOU' entry
The columns of the 'HETATM' DataFrame are indentical to the 'ATOM' DataFrame that we've seen earlier:
ppdb.df['HETATM'].head(2)
| record_name | atom_number | blank_1 | atom_name | ... | segment_id | element_symbol | charge | line_idx | |
|---|---|---|---|---|---|---|---|---|---|
| 0 | HETATM | 1332 | K | ... | K | NaN | 1940 | ||
| 1 | HETATM | 1333 | NA | ... | NA | NaN | 1941 |
2 rows × 21 columns
Note that "ANISOU" entries are handled a bit differently as specified at http://deposit.rcsb.org/adit/docs/pdb_atom_format.html#ATOM.
ppdb.df['ANISOU'].head(2)
| record_name | atom_number | blank_1 | atom_name | ... | blank_4 | element_symbol | charge | line_idx |
|---|
0 rows × 21 columns
Not every PDB file contains ANISOU entries (similarly, some PDB files may only contain HETATM or ATOM entries). If records are basent, the DataFrame will be empty as show above.
ppdb.df['ANISOU'].empty
True
Since the DataFrames are fairly wide, let's us take a look at the columns by accessing the DataFrame's column
attribute:
ppdb.df['ANISOU'].columns
Index(['record_name', 'atom_number', 'blank_1', 'atom_name', 'alt_loc', 'residue_name', 'blank_2', 'chain_id', 'residue_number', 'insertion', 'blank_3', 'U(1,1)', 'U(2,2)', 'U(3,3)', 'U(1,2)', 'U(1,3)', 'U(2,3)', 'blank_4', 'element_symbol', 'charge', 'line_idx'], dtype='object')
ANISOU records are very similar to ATOM/HETATM records. In fact, the columns 7 - 27 and 73 - 80 are identical to their corresponding ATOM/HETATM records, which means that the 'ANISOU' DataFrame doesn't have the following entries:
set(ppdb.df['ATOM'].columns).difference(set(ppdb.df['ANISOU'].columns))
{'b_factor', 'occupancy', 'segment_id', 'x_coord', 'y_coord', 'z_coord'}
Instead, the "ANISOU" DataFrame contains the anisotropic temperature factors "U(-,-)" -- note that these are scaled by a factor of () by convention.
set(ppdb.df['ANISOU'].columns).difference(set(ppdb.df['ATOM'].columns))
{'U(1,1)', 'U(1,2)', 'U(1,3)', 'U(2,2)', 'U(2,3)', 'U(3,3)'}
Ah, another interesting thing to mention is that the columns already come with the types you'd expect (where object
essentially "means" str
here):
ppdb.df['ATOM'].dtypes
record_name object
atom_number int64
blank_1 object
atom_name object
alt_loc object
residue_name object
blank_2 object
chain_id object
residue_number int64
insertion object
blank_3 object
x_coord float64
y_coord float64
z_coord float64
occupancy float64
b_factor float64
blank_4 object
segment_id object
element_symbol object
charge float64
line_idx int64
dtype: object
Typically, all good things come in threes, however, there is a 4th DataFrame, an'OTHER' DataFrame, which contains everything that wasn't parsed as 'ATOM', 'HETATM', or 'ANISOU' coordinate section:
ppdb.df['OTHERS'].head(5)
| record_name | entry | line_idx | |
|---|---|---|---|
| 0 | HEADER | HYDROLASE 17... | 0 |
| 1 | TITLE | CRYSTAL STRUCTURE OF INORGANIC PYROPHOSPHA... | 1 |
| 2 | TITLE | 2 PSEUDOMALLEI WITH BOUND PYROPHOSPHATE | 2 |
| 3 | COMPND | MOL_ID: 1; | 3 |
| 4 | COMPND | 2 MOLECULE: INORGANIC PYROPHOSPHATASE; | 4 |
Although these 'OTHER' entries are typically less useful for structure-related computations, you may still want to take a look at them to get a short summary of the PDB structure and learn about it's potential quirks and gotchas (typically listed in the REMARKs section). Lastly, the "OTHERS" DataFrame comes in handy if we want to reconstruct the structure as PDB file as we will see later (note the line_idx
columns in all of the DataFrames).
Working with PDB DataFrames
In the previous sections, we've seen how to load PDB structures into DataFrames, and how to access them. Now, let's talk about manipulating PDB files in DataFrames.
from biopandas.pdb import PandasPdb
ppdb = PandasPdb()
ppdb.read_pdb('./data/3eiy.pdb.gz')
ppdb.df['ATOM'].head()
| record_name | atom_number | blank_1 | atom_name | ... | segment_id | element_symbol | charge | line_idx | |
|---|---|---|---|---|---|---|---|---|---|
| 0 | ATOM | 1 | N | ... | N | NaN | 609 | ||
| 1 | ATOM | 2 | CA | ... | C | NaN | 610 | ||
| 2 | ATOM | 3 | C | ... | C | NaN | 611 | ||
| 3 | ATOM | 4 | O | ... | O | NaN | 612 | ||
| 4 | ATOM | 5 | CB | ... | C | NaN | 613 |
5 rows × 21 columns
[File link: 3eiy.pdb.gz]
Okay, there's actually not that much to say ...
Once we have our PDB file in the DataFrame format, we have the whole convenience of pandas right there at our fingertips.
For example, let's get all Proline residues:
ppdb.df['ATOM'][ppdb.df['ATOM']['residue_name'] == 'PRO'].head()
| record_name | atom_number | blank_1 | atom_name | ... | segment_id | element_symbol | charge | line_idx | |
|---|---|---|---|---|---|---|---|---|---|
| 38 | ATOM | 39 | N | ... | N | NaN | 647 | ||
| 39 | ATOM | 40 | CA | ... | C | NaN | 648 | ||
| 40 | ATOM | 41 | C | ... | C | NaN | 649 | ||
| 41 | ATOM | 42 | O | ... | O | NaN | 650 | ||
| 42 | ATOM | 43 | CB | ... | C | NaN | 651 |
5 rows × 21 columns
Or main chain atoms:
ppdb.df['ATOM'][ppdb.df['ATOM']['atom_name'] == 'C'].head()
| record_name | atom_number | blank_1 | atom_name | ... | segment_id | element_symbol | charge | line_idx | |
|---|---|---|---|---|---|---|---|---|---|
| 2 | ATOM | 3 | C | ... | C | NaN | 611 | ||
| 8 | ATOM | 9 | C | ... | C | NaN | 617 | ||
| 19 | ATOM | 20 | C | ... | C | NaN | 628 | ||
| 25 | ATOM | 26 | C | ... | C | NaN | 634 | ||
| 33 | ATOM | 34 | C | ... | C | NaN | 642 |
5 rows × 21 columns
It's also easy to strip our coordinate section from hydrogen atoms if there are any ...
ppdb.df['ATOM'][ppdb.df['ATOM']['element_symbol'] != 'H'].head()
| record_name | atom_number | blank_1 | atom_name | ... | segment_id | element_symbol | charge | line_idx | |
|---|---|---|---|---|---|---|---|---|---|
| 0 | ATOM | 1 | N | ... | N | NaN | 609 | ||
| 1 | ATOM | 2 | CA | ... | C | NaN | 610 | ||
| 2 | ATOM | 3 | C | ... | C | NaN | 611 | ||
| 3 | ATOM | 4 | O | ... | O | NaN | 612 | ||
| 4 | ATOM | 5 | CB | ... | C | NaN | 613 |
5 rows × 21 columns
Or, let's compute the average temperature factor of our protein main chain:
mainchain = ppdb.df['ATOM'][(ppdb.df['ATOM']['atom_name'] == 'C') |
(ppdb.df['ATOM']['atom_name'] == 'O') |
(ppdb.df['ATOM']['atom_name'] == 'N') |
(ppdb.df['ATOM']['atom_name'] == 'CA')]
bfact_mc_avg = mainchain['b_factor'].mean()
print('Average B-Factor [Main Chain]: %.2f' % bfact_mc_avg)
Average B-Factor [Main Chain]: 28.83
Plotting
Since we are using pandas under the hood, which in turns uses matplotlib under the hood, we can produce quick summary plots of our PDB structures relatively conveniently:
from biopandas.pdb import PandasPdb
ppdb = PandasPdb().read_pdb('./data/3eiy.pdb.gz')
[File link: 3eiy.pdb.gz]
%matplotlib inline
import matplotlib.pyplot as plt
from matplotlib import style
style.use('ggplot')
ppdb.df['ATOM']['b_factor'].plot(kind='hist')
plt.title('Distribution of B-Factors')
plt.xlabel('B-factor')
plt.ylabel('count')
plt.show()
ppdb.df['ATOM']['b_factor'].plot(kind='line')
plt.title('B-Factors Along the Amino Acid Chain')
plt.xlabel('Residue Number')
plt.ylabel('B-factor in $A^2$')
plt.show()
ppdb.df['ATOM']['element_symbol'].value_counts().plot(kind='bar')
plt.title('Distribution of Atom Types')
plt.xlabel('elements')
plt.ylabel('count')
plt.show()
Computing the Root Mean Square Deviation
BioPandas also comes with certain convenience functions, for example, ...
The Root-mean-square deviation (RMSD) is simply a measure of the average distance between atoms of 2 protein or ligand structures. This calculation of the Cartesian error follows the equation:
So, assuming that the we have the following 2 conformations of a ligand molecule
we can compute the RMSD as follows:
from biopandas.pdb import PandasPdb
l_1 = PandasPdb().read_pdb('./data/lig_conf_1.pdb')
l_2 = PandasPdb().read_pdb('./data/lig_conf_2.pdb')
r = PandasPdb.rmsd(l_1.df['HETATM'], l_2.df['HETATM'],
s=None) # all atoms, including hydrogens
print('RMSD: %.4f Angstrom' % r)
RMSD: 2.6444 Angstrom
[File links: lig_conf_1.pdb, lig_conf_2.pdb]
r = PandasPdb.rmsd(l_1.df['HETATM'], l_2.df['HETATM'],
s='carbon') # carbon atoms only
print('RMSD: %.4f Angstrom' % r)
RMSD: 3.1405 Angstrom
r = PandasPdb.rmsd(l_1.df['HETATM'], l_2.df['HETATM'],
s='heavy') # heavy atoms only
print('RMSD: %.4f Angstrom' % r)
RMSD: 1.9959 Angstrom
Similarly, we can compute the RMSD between 2 related protein structures:
The hydrogen-free RMSD:
p_1 = PandasPdb().read_pdb('./data/1t48_995.pdb')
p_2 = PandasPdb().read_pdb('./data/1t49_995.pdb')
r = PandasPdb.rmsd(p_1.df['ATOM'], p_2.df['ATOM'], s='heavy')
print('RMSD: %.4f Angstrom' % r)
RMSD: 0.7377 Angstrom
Or the RMSD between the main chains only:
p_1 = PandasPdb().read_pdb('./data/1t48_995.pdb')
p_2 = PandasPdb().read_pdb('./data/1t49_995.pdb')
r = PandasPdb.rmsd(p_1.df['ATOM'], p_2.df['ATOM'], s='main chain')
print('RMSD: %.4f Angstrom' % r)
RMSD: 0.4781 Angstrom
Filtering PDBs by Distance
We can use the distance
method to compute the distance between each atom (or a subset of atoms) in our data frame and a three-dimensional reference point. For example:
p_1 = PandasPdb().read_pdb('./data/3eiy.pdb')
reference_point = (9.362, 41.410, 10.542)
distances = p_1.distance(xyz=reference_point, records=('ATOM',))
[File link: 3eiy.pdb]
The distance method returns a Pandas Series object:
distances.head()
0 19.267419
1 18.306060
2 16.976934
3 16.902897
4 18.124171
dtype: float64
And we can use this Series
object, for instance, to select certain atoms in our DataFrame that fall within a desired distance threshold. For example, let's select all atoms that are within 7A of our reference point:
all_within_7A = p_1.df['ATOM'][distances < 7.0]
all_within_7A.tail()
| record_name | atom_number | blank_1 | atom_name | ... | segment_id | element_symbol | charge | line_idx | |
|---|---|---|---|---|---|---|---|---|---|
| 786 | ATOM | 787 | CB | ... | C | NaN | 1395 | ||
| 787 | ATOM | 788 | CG | ... | C | NaN | 1396 | ||
| 788 | ATOM | 789 | CD1 | ... | C | NaN | 1397 | ||
| 789 | ATOM | 790 | CD2 | ... | C | NaN | 1398 | ||
| 790 | ATOM | 791 | N | ... | N | NaN | 1399 |
5 rows × 21 columns
Visualized in PyMOL, this subset (yellow surface) would look as follows:
Converting Amino Acid codes from 3- to 1-letter codes
Residues in the residue_name
field can be converted into 1-letter amino acid codes, which may be useful for further sequence analysis, for example, pair-wise or multiple sequence alignments:
from biopandas.pdb import PandasPdb
ppdb = PandasPdb().fetch_pdb('5mtn')
sequence = ppdb.amino3to1()
sequence.tail()
| chain_id | residue_name | |
|---|---|---|
| 1378 | B | I |
| 1386 | B | N |
| 1394 | B | Y |
| 1406 | B | R |
| 1417 | B | T |
As shown above, the amino3to1
method returns a DataFrame
containing the chain_id
and residue_name
of the translated 1-letter amino acids. If you like to work with the sequence as a Python list of string characters, you could do the following:
sequence_list = list(sequence.loc[sequence['chain_id'] == 'A', 'residue_name'])
sequence_list[-5:] # last 5 residues of chain A
['V', 'R', 'H', 'Y', 'T']
And if you prefer to work with the sequence as a string, you can use the join
method:
''.join(sequence.loc[sequence['chain_id'] == 'A', 'residue_name'])
'SLEPEPWFFKNLSRKDAERQLLAPGNTHGSFLIRESESTAGSFSLSVRDFDQGEVVKHYKIRNLDNGGFYISPRITFPGLHELVRHYT'
To iterate over the sequences of multi-chain proteins, you can use the unique
method as shown below:
for chain_id in sequence['chain_id'].unique():
print('\nChain ID: %s' % chain_id)
print(''.join(sequence.loc[sequence['chain_id'] == chain_id, 'residue_name']))
Chain ID: A
SLEPEPWFFKNLSRKDAERQLLAPGNTHGSFLIRESESTAGSFSLSVRDFDQGEVVKHYKIRNLDNGGFYISPRITFPGLHELVRHYT
Chain ID: B
SVSSVPTKLEVVAATPTSLLISWDAPAVTVVYYLITYGETGSPWPGGQAFEVPGSKSTATISGLKPGVDYTITVYAHRSSYGYSENPISINYRT
Wrapping it up - Saving PDB structures
Finally, let's talk about how to get the PDB structures out of the DataFrame format back into the beloved .pdb format.
Let's say we loaded a PDB structure, removed it from it's hydrogens:
from biopandas.pdb import PandasPdb
ppdb = PandasPdb().read_pdb('./data/3eiy.pdb.gz')
ppdb.df['ATOM'] = ppdb.df['ATOM'][ppdb.df['ATOM']['element_symbol'] != 'H']
[File link: 3eiy.pdb.gz]
We can save the file using the PandasPdb.to_pdb
method:
ppdb.to_pdb(path='./data/3eiy_stripped.pdb',
records=None,
gz=False,
append_newline=True)
[File link: 3eiy_stripped.pdb]
By default, all records (that is, 'ATOM', 'HETATM', 'OTHERS', 'ANISOU') are written if we set records=None
. Alternatively, let's say we want to get rid of the 'ANISOU' entries and produce a compressed gzip archive of our PDB structure:
ppdb.to_pdb(path='./data/3eiy_stripped.pdb.gz',
records=['ATOM', 'HETATM', 'OTHERS'],
gz=True,
append_newline=True)
[File link: 3eiy_stripped.pdb.gz]


The paper will be OMR based.
The duration of the paper will be two hours.
The paper will have one unifying theme based on recent scientific breakthroughs and phenomena, and the questions based on that will be entirely application based and not factual.
The syllabus comprises of the syllabus of the students’ respective class. The students will have to get innovative with the basic formulae and improvise.
The marking scheme will be revealed at the time of examination.
Round 2
Two students from each zone would be selected for the final round, that makes a total of 10 students.
An all expense paid trip to BITS Pilani during APOGEE 2017, along with one guardian. Two day all access pass issued to all students.
Each student would be given a particular scientific topic or a research area, one month prior to the second round.
Students are supposed to gather knowledge, relevant data, notes, breakthroughs and current happenings related to that topic. Help from teachers is encouraged.
Each student would have to present their topic which would be followed by
constructive group discussion in the presence of a panel.
-
Timeline
November:
Registration portal opens
December 15 - January 10:
Round one at your school
January:
Answer Keys with Solutions
February:
AIRs, Certificates and Round One winners announced. Topics with instructions allotted to each winner
March 25:
Round Two at BITS Pilani, Pilani Campus


With the ambition to “conceive and create the new building of the future,” the Bauhaus movement became an influential force throughout the 20th century. This competition proposal is simultaneously a testament to the legacy of this institution and critical interpretation of its ideas for the realities of our times.
The the 52,000 sq. ft. program area is designed as a spacial counterpoint to the Bauhaus canon, with the goal to provoke patrons and visitors into a discourse about the history and the future of the arts and architecture.
The spatial organization is derived from an abstract interpretation of specific site elements and aims to challenge the surrounding urban context. The project draws on contemporary technological possibilities to create a sustainable environment intertwined with the adjacent park and open to the city.


Namespace aes
AES encryption and associated modes. Supports 128, 192 and 256 bit keys.
Defined in: aes.js.
| Constructor Attributes | Constructor Name and Description |
|---|---|
|
Implementation of AES on 256 bit keys. |
| Field Attributes | Field Name and Description |
|---|---|
| <static> |
aes.keySize
The AES key size, either 4, 6 or 8 bytes.
|
| Method Attributes | Method Name and Description |
|---|---|
| <private> <static> |
aes._aes(input, dir)
Internal AES block function.
|
| <private> <static> |
aes._blockGen(s, dir)
Block generator function, with PKCS#5 support for padding.
|
| <private> <static> |
aes._output(block, last)
Output processing.
|
| <static> |
aes.CBC(s, iv, dir)
CBC mode encryption and decryption using AES.
|
| <static> |
aes.CCM_decrypt(s, iv, adata, tlen)
Decryption in CCM mode.
|
| <static> |
aes.CCM_encrypt(s, iv, adata, tlen)
Authenticated encryption in CCM mode (provides ciphertext integrity).
|
| <static> |
aes.ctEq(first, second)
Constant time string equality - this is to prevent timing attacks
This function is very slow and should only be used for sensitive comparisons
|
| <static> |
aes.setKey(key)
Set the key to use for encryption and decryption.
|
Field Detail
<static>
aes.keySize
The AES key size, either 4, 6 or 8 bytes.
This field is automatically set by the setKey method
based on the length of the given key.
Method Detail
<private> <static>
{number array[8]}
aes._aes(input, dir)
Internal AES block function.
- Parameters:
- {number array[4]} input
- array of four 32-bit words to process
- {boolean} dir
- false for encryption, true for decryption
- Returns:
- {number array[8]} result of the encryption
<private> <static>
{blocks:number|gen:()->number array[4]}
aes._blockGen(s, dir)
Block generator function, with PKCS#5 support for padding.
- Parameters:
- {string} s
- input string to process in blocks
- {boolean} dir
- false for encryption, true for decryption (no padding)
- Returns:
- {blocks:number|gen:()->number array[4]} A record containing the number of blocks and the block generating function
<private> <static>
{string}
aes._output(block, last)
Output processing. By default, returns an ASCII string.
- Parameters:
- {number array[4]} block
- internal block to output
- {boolean} last
- true if this is the last block, false otherwise
- Returns:
- {string} ASCII string representing the input block. Will unpad if this is the last block.
<static>
{string}
aes.CBC(s, iv, dir)
CBC mode encryption and decryption using AES.
- Parameters:
- {string} s
- input plaintext or ciphertext (ASCII string)
- {string} iv
- initial vector of the encryption, a 16 bytes ASCII string
- {boolean} dir
- false for encryption, true for encryption
- Returns:
- {string} result as an ASCII string
<static>
{valid:bolean|data:string}
aes.CCM_decrypt(s, iv, adata, tlen)
Decryption in CCM mode.
- Parameters:
- {string} s
- input ciphertext
- {string} iv
- random initialization vector (ASCII string)
- {string} adata
- Optional authenticated data (ASCII)
- {number} tlen
- tag length in bytes
- Returns:
- {valid:bolean|data:string} Object containing the decrypted data and authentication status
<static>
{string}
aes.CCM_encrypt(s, iv, adata, tlen)
Authenticated encryption in CCM mode (provides ciphertext integrity).
- Parameters:
- {string} s
- input plaintext (ASCII string)
- {string} iv
- Random initialization vector, 16 byte ASCII string
- {string} adata
- Optional authentication data (not secret but integrity protected)
- {number} tlen
- tag length in bytes (2 to 16) - high values make it harder to tamper with the ciphertext
- Returns:
- {string} the encrypted data, an ASCII string
<static>
{boolean}
aes.ctEq(first, second)
Constant time string equality - this is to prevent timing attacks
This function is very slow and should only be used for sensitive comparisons
- Parameters:
- {string} first
- string
- {string} second
- string
- Returns:
- {boolean} true iff strings are equal
<static>
aes.setKey(key)
Set the key to use for encryption and decryption.
Accepts 128, 192 and 256 bit keys.
- Parameters:
- {string} key
- ASCII key (16, 24 or 32 bytes long)


Home > Reference > Functions reference > Text functions > Lower
Lower Purpose Returns all letters in text as lowercase. Format Lower(text) Parameters text - any text expression or text field Data type returned text Originated in FileMaker Pro 6.0 or earlier Note To change how a field displays without modifying its contents, see Text formatting functions. Examples Lower(“ABCD”) returns abcd. Lower(Course) returns history, when the Course field contains History. Lower(“YOUR BILL IS OVERDUE”) returns your bill is overdue. Related topics Functions reference (category list) Functions reference (alphabetical list) About formulas About functions Defining calculation fields Using operators in formulas


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About Us


Brenda Andeso
A Web Developer
My name is Brenda Andeso and I am 20 years old.I am currently a Softare Developer student majoring on Web Development at Moringa school.
I got into programming after I was introduced abit of it back in the university.
After that introduction,
I found programming interesting and decided to study it, and that's when I decided to join Moringa School.
I decided to join Moringa because it's the best institution to learn coding.
Another reason why I chose Moringa,is after an alumni adviced to learn coding from there.
Most people say programming is difficult but I can say it's not.
Actually I have always been a bright student starting from Primary,where I schooled at Peak Academy and got 383 marks.
I later joined Bunyore Girl's Highschool, a national school and
got a mean grade of B+.
I got admitted at the University of Nairobi to pursue a BSc in Statistics and there is where I got introduced to programming.
Currently am at Moringa School.I am enjoying learnig programming because it's my passion plus it's a good course because everyday I learn new things ,which makes it interesting to study .
Learning programming has made me acquire new skills.The skills are;
The skills are usefull because now I can code,something which I have always wanted to do though am still learnig.
Currently in Moringa School, I have worked on two projects;
It talks about my pet, a dog and what she likes and her characteristics click here The languages I used were HTML and CSS.
This project talks about the introduction of a new resort called the Luxury Private Island Resort,click here The languages I used in this project were HTMLand CSS
After graduating from Moringa School,I hope to work for Microsoft Kenya as a Web Developer,so that I can nurture my skills.
My hobbies are coding, which I love doing so much because it's my career. I also love cooking so much, trying out new recipes. I am a sporty person so I play soccer.
You can contact me at brendaandeso4@gmail.com


This procedure describes how to pair two UART-enabled powerline adapters once they have been programmed, personalized and tested. This example assumes you are using a Windows host and two powerline adapters having MAC addresses 00:B0:52:00:05:F9
and 00:B0:52:00:05:FA
.
Start with the first device, 00:B0:52)(00:05:F9
. Plug the host serial cable into the RJ45 port on the device and plug the device into an AC power source.
Change to transparent mode using program int6kuart. Option -v displays outgoing command and incoming serial responses. The “+++” is the serial data sent to the device and the “OK” is the device response.
# int6kuart -s com3 -wv +++ OK
Read the adapter PIB into a temporary file using program int6kuart. The following command reads the PIB from serial device com3
and saves it to file temp.pib
on the host. You will see a series of dots appear on the console as the PIB is read from the device. The filename used is not important.
# int6kuart -s com3 -p temp.pib ....................
Program the PIB file with the default destination address using program setpib. The following command inserts the MAC address of the second device, 00B0520005FA
, at fixed offset 0x2C8A
in file temp.pib
downloaded in the previous step.
# setpib temp.pib 2C8A data 00B0520005FA
Write the modified PIB file back to the adapter and commit it to flash memory using program int6kuart. The following command write file temp.pib
to serial device com3
then commits the PIB to flash memory. You will see a series of dots appear on the console as the PIB is written to the device. The device will reboot.
# int6kuart -s com3 -P temp.pib -C2 ....................
Change the device to Transparent Mode using program int6kuart once the device resets.
# inc6kuart -s com3 -wv +++ OK
Verify that the destination MAC address is correct using program int6kuart.
# int6kuart -s com3 -d 00B0520005FA
Repeat this process on the second adapter, 00:B0:52:00:05:FA
, using the MAC address of the first device, 00:B0:52:00:05:F9
, as the destination address.


This scatterplot displays number of comments vs upvotes for Reddit posts about Gamestop stock. The data source can be found here: on Kaggle (Stock Market Subreddits.
The posts are categorized by three Subreddits:
I think it's interesting how many more upvotes and posts happen on Wallstreet Bets vs. the other categories.
One enhancement comes to mind: trimming the outliers and see if there's a better linear shape to the data based on shortening the x-axis that way.


The C++ PIMPL idiom is a technique used in C++ to provide a private implementation in classes.
The basic idea is to hide all private members (fields and methods) from the public class definition (and public header).
Such a technique provides several benefits:
1 - Compilation time
Since all the private stuff is not in the public headers, modifying private members (like adding/removing private member fields or methods) won't require a recompilation of the compilation units depending on the header.
This can very handy with large C++ projects with a lot of dependancies.
Such a technique can also minimise the inclusion of other headers in the public one, thus also requiring less compilation time.
2 - Cleaner headers
Hiding the private members from the public interface also makes your public code cleaner.
A developer using your class will only see the stuff he can actually use. This surely removes some burden.
This technique can also be quite useful to protect your implementation details when providing for instance a compiled library to a client.
This is obviously not a silver-bullet for protecting your code, but at least it will keep private stuff private.
The PIMPL technique also have a few drawbacks, but we'll cover them later on.
In this tutorial, we'll be designing a PIMPL class, fully compatible with C++ automatic allocation.
I won't cover here the implementation details for automatic allocation, as it has been covered in the previous C++ tutorials:
Be sure to fully understand the concepts presented in the above articles before proceeding with this one.
The PIMPL idiom relies on forward class declarations.
Conceptually, a forward declaration is the declaration of an identifier with no formal definition.
Such an identifier can be a variable, a type, a constant, etc.
Let's see some example.
Imagine the following header file, assuming the Foo
type represents a C++ class:
#ifndef HEADER_H #define HEADER_H #include "Foo.hpp" Foo * GetFooObject( void ); #endif /* HEADER_H */
This header includes "Foo.hpp"
, and declares a function returning a pointer to a Foo
object. Quite usual...
But at this point, the definition of the Foo
class is not needed, so we could also get rid of the inclusion of "Foo.hpp"
using a forward declaration:
#ifndef HEADER_H #define HEADER_H class Foo; Foo * GetFooObject( void ); #endif /* HEADER_H */
Here, we simply tell the compiler that the Foo
identifier is a C++ class.
The compiler won't know anything about it, except that is is a class.
As we are returning a pointer to such a class, the above code is perfectly valid.
The compiler doesn't need to know anything about the class definition to handle a pointer.
Note that obviously, you can only use forward declarations with pointer or reference types.
The following code is not valid:
#ifndef HEADER_H #define HEADER_H class Foo; Foo GetFooObject( void ); #endif /* HEADER_H */
Here, the Foo
object is returned as a copy, so there's no way for the compiler to know what to do without a complete definition of Foo
.
As it is retuned by value, the compiler will have to allocate memory for the object.
And with a forward declaration, there's no way for the compiler to know the size of the object.
Also the class may have special methods, like a copy constructor or an assignment operator.
In such a case, the compiler also needs to know about it, so it can emit the correct code to handle the object.
So in the last example, you will have to include the "Foo.hpp"
header file.
But with pointer or references, the forward declaration is enough, allowing you to get rid of unnecessary includes.
So let's implement a C++ PIMPL class.
As in the first tutorial about automatic allocation, we'll design a simple Point
class, representing a 2D point.
Here's the public interface, Point.hpp
:
#ifndef POINT_HPP #define POINT_HPP class Point { public: Point( void ); Point( int x, int y ); Point( const Point & o ); ~Point( void ); Point & operator =( Point o ); friend void swap( Point & o1, Point & o2 ); int GetX( void ) const; int GetY( void ) const; void SetX( int x ); void SetY( int y ); private: class IMPL; IMPL * iml; }; #endif /* POINT_HPP */
Assuming you've read the previous tutorial, the public part should be straightforward.
Parameter-less constructor, copy constructor, assignment operator, swap function, etc.
We also added getter and setter methods for the X
and Y
properties.
Now let's take about the private part.
Here, we are forward-declaring an inner class, whose qualified name is Point::IMPL
:
class IMPL;
This inner class will contains our private fields and methods.
We don't provide a definition of it here, as we want to keep everything private.
We also declare a single private member, which is a pointer to a Point::IMPL
object:
IMPL * iml;
And that's all!
Unless adding public members, the Point
class will never have to change.
Now let's take a look at the actual implementation for such a class, Point.cpp
.
First of all, as we are implementing the class, we'll now need a complete definition for the Point::IMPL
class:
#include "Point.hpp" class Point::IMPL { public: IMPL( void ): _x( 0 ), _y( 0 ) {} IMPL( const IMPL & o ): _x( o._x ), _y( o._y ) {} ~IMPL( void ) {} int _x; int _y; };
Nothing fancy.
We have a parameter-less constructor, a copy-constructor and a destructor, as well as two integer members, _x
and _y
.
Note that everything is public here.
There's no need to have private members, as we're here in the context of the Point
class implementation.
In other words, this is a single compilation unit, and the definition of Point::IMPL
only exists in that compilation unit.
Now let's take a look at the implementation of the Point
class.
First of all, the parameter-less constructor.
Remember that the Point
class has a single member, named impl
, which is a pointer to a Point::IMPL
object.
Here, we need to ensure that this pointer is valid, by creating a new Point::IMPL
object:
Point::Point( void ): impl( new IMPL ) {}
Using the initializer list, we initialize the impl
field with a new instance of the Point:IMPL
class (new IMPL
).
We don't need to initialize its members, as this is done by the Point:IMPL
constructor.
Now the second constructor:
Point::Point( int x, int y ): impl( new IMPL ) { this->impl->_x = x; this->impl->_y = y; }
We also initialize the impl
field, as in the previous example, and then we simply set the _x
and _y
fields with the values passed as arguments.
Now let's see how the copy constructor is implemented:
Point::Point( const Point & o ): impl( new IMPL( *( o.impl ) ) ) {}
That's it...
We simply rely on the copy constructor of the Point::IMPL
class for initialising the impl
field.
Note that the copy constructor take a reference type, and the impl
field is a pointer.
That's why we dereference it (*( o.impl )
), hence effectively calling the copy constructor.
Noting complicated in the destructor, we simply call the delete
operator on the impl
field:
Point::~Point( void ) { delete this->impl; }
No need to check for nullptr
as deleting a null pointer is fine, and because there's actually no way the impl
field can point to anything else than a valid object.
As explained in the first tutorial about automatic allocation, our assignment operator takes its value by copy rather than by reference, so we can simply use our swap
function, thus relying on our copy constructor to do the work:
Point & Point::operator =( Point o ) { swap( *( this ), o ); return ( this ); }
With the PIMPL idiom, the swap
function is actually very straightforward.
As the Point
class only has a single member, which is a pointer, we only need to swap them:
void swap( Point & o1, Point & o2 ) { using std::swap; swap( o1.impl, o2.impl ); }
That's it... Swapping two objects only means swapping their implementations.
The only thing left is the member methods.
Nothing fancy here as well:
int Point::GetX( void ) const { return this->impl->_x; } int Point::GetY( void ) const { return this->impl->_y; } void Point::SetX( int x ) const { this->impl->_x = x; } void Point::SetY( int y ) const { this->impl->_y = y; }
Again, no need to check for a null pointer, as there's no way the impl
field can be invalid.
As you can see, implementing the PIMPL idiom is quite straightforward.
It provides several benefits, and the actual implementation is really simple.
I personally think it also improves the overall readability of the code, as it keeps all member methods simple and generic.
All the work is basically done by the copy constructor of the IMPL
class, so it even makes automatic allocation patterns easier, in my own opinion.
As stated in the beginning of this article, the PIMPL idiom also has a few drawbacks.
First of all, the PIMPL idiom forces us to use dynamic memory allocation for the impl
pointer field.
Each time we create a PIMPL object, there's actually a call to new
to allocate memory for the impl
field.
In most common scenarios, this is clearly not a problem, but that's definitively something you'll have to keep in mind.
As stated in the previous point, we need to allocate dynamic memory for the impl
field.
The calls to new
and delete
obviously have a small performance impact, but this also true for accessing fields of the IMPL
object, as it means reading/dereferencing memory.
Again, not a very big deal in most common scenarios, but if you're really concerned about runtime performances, PIMPL might be a thing you'll want to avoid.
I tried to keep things simple in this tutorial, but the PIMPL idiom can actually be extended in a lot of ways.
For instance, you could also decide not to copy the impl
field each time an object is copied, but instead use some kind of reference counting mechanism, or stuff like std::shared_ptr
.
Then you'll have different instances sharing the same implementation.
This way, you can have the benefits of shared objects, while having the benefits of automatic allocation.
If you're interested in using the PIMPL idiom, I recommend checking my Generic C++11 PIMPL implementation.
It consist of a template class that you can inherit from, and which will handle most of the PIMPL implementation for you.


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pfcaramirezagent should already be running.
pfcaramirezagent
If you want to modify the way pfcaramirezagent is invoked, you have to modify /Library/LaunchDaemons/org.pfc.aramirez.agent.plist.
/Library/LaunchDaemons/org.pfc.aramirez.agent.plist


Logging on and Making a Worksheet#
This Sage worksheet is from a series of tutorials developed for the MAA PREP Workshop “Sage: Using Open-Source Mathematics Software with Undergraduates” (funding provided by NSF DUE 0817071). It is licensed under the Creative Commons Attribution-ShareAlike 3.0 license (CC BY-SA).
This document describes how to get into a Sage worksheet in the first place. If you already feel comfortable with this process, or at least comfortable enough to see how to actually use Sage, the main content of the tutorials begins with the introductory tutorial.
There are three main types of worksheets for Sage, all of which have somewhat similar behavior.
If you are using the Jupyter notebook or starting Sage from the command line, you may see some screens about exporting. We have basic information about this.
If you are using the CoCalc SageMath worksheets, you will want to contact them or read some of their documentation for further assistance.
The Export screen and Jupyter notebook#
Starting in Sage 8.0, the default is to provide the Jupyter notebook for your worksheet experience via an export screen. When you start Sage you may see a screen like this.
There are three actions you can take, each of which is highlighted in the next picture. Note that if you have no previous worksheets, the third option to “export” them will not make sense.
The legacy SageNB has been retired in Sage 9.1. Please use the Jupyter notebook. Jupyter will bring you to a screen that is simply a listing of files in whatever folder Sage has opened in.
If you want to start a worksheet, you will look at the upper right corner and ask for a new worksheet:
Note
The Jupyter notebook saves your files locally in your normal filesystem, as normal file names. So if you start the notebook from a different location than usual, you may have to navigate a bit to find your worksheet.
Jupyter will allow you many types of files to open. To use SageMath directly, just choose the Sage type; this will ensure that Jupyter runs using Sage and not pure Python or some other language.
You should now have a worksheet that looks more or less like this.
Now you are ready to begin to evaluate Sage commands!