ModelInferencer Class¶
This class is useful for getting predictions for a trained model. This can be done by specifying a path to the data and having it pull random images to make predictions on, or by directly giving it images. This is useful to get a visual on what the model is outputting.
Examples¶
An example of using this class to make a prediction on a specific image is shown here:
1 2 3 4 5 6 7 | from skimage import io
# load an image
image = io.imread("image/to/load")
m = ModelInferencer("model/to/load")
output = m.predict(image)
|
-
class
modelInferencer.
ModelInferencer
(model, **kwargs)[source]¶ Bases:
object
Class to inference the model and make predictions.
Load the model and determine various parameters.
Parameters: - model (String OR keras model) – Model to inference
- dataPath (String (Default: None)) – Base directory of where the data is
-
imageSetGenerator
(whichSet)[source]¶ Generates an image, its label, and the class that it comes from. :param whichSet: Which directory to get image from :type whichSet: String
Yields: - image (np.array) – Image to make prediction on
- label (np.array) – Ground Truth for image
- truthClass (int) – The class that the image belongs
-
predict
(img)[source]¶ Makes appropriate prediction for image based on model type.
Parameters: img (np.array) – Image to make prediction on Returns: pred – prediction on the image Return type: np.array
-
regressionPredict
(img)[source]¶ Makes a regression prediction for image of any size.
Breaks the image into multiple pieces that fit into the model, makes predictions for each piece, and then sums the predictions for each piece.
Parameters: img (np.array) – Image to make prediction on Returns: pred – Regression prediction on the image Return type: np.array
-
segmentationPredict
(img)[source]¶ Makes a segmentation prediction for image of any size.
Breaks the image into multiple pieces that fit into the model, makes predictions for each piece, and then stitches the predictions back together.
Parameters: img (np.array) – Image to make prediction on Returns: pred – Segmentation prediction on the image Return type: np.array
-
setBatchSize
(batch_size)[source]¶ Set the prediction batch size.
Parameters: batch_size (int) – Number of images per batch


links
Here are websites that I found influencial or friends websites
Programming Related
Probably one of the best website for learning about programming and the software engineering process. Some articles on here are worth more then gold. Highly recommended. joelonsoftware
Inspiration for this website design IronZebra
Inspiration for the domain name and website andrew.im
Friends
My brothers website. Rocking frontpage still ☺ joefsu
Czech club in miami. acscc
{{template "postfooter.html" .}}


{% if reaction.conditions.temperature|defined %}
| Control Type |
{{ reaction.conditions.temperature.control|type_and_details }} |
| Setpoint |
{{ reaction.conditions.temperature.setpoint|unit_format }} |
{% if reaction.conditions.temperature.measurements %}
| Measurements |
| Type |
Time |
Temperature |
{% for measurement in reaction.conditions.temperature.measurements %}
| {{ measurement|type_and_details }} |
{{ measurement.time|unit_format }} |
{{ measurement.temperature|unit_format }} |
{% endfor %}
|
{% endif %}
{% endif %}
{% if reaction.conditions.pressure|defined %}
| Control Type |
{{ reaction.conditions.pressure.control|type_and_details }} |
| Setpoint |
{{ reaction.conditions.pressure.setpoint|unit_format }} |
| Atmosphere |
{{ reaction.conditions.pressure.atmosphere|type_and_details }} |
{% if reaction.conditions.pressure.measurements %}
| Measurements |
| Type |
Time |
Pressure |
{% for measurement in reaction.conditions.pressure.measurements %}
| {{ measurement|type_and_details }} |
{{ measurement.time|unit_format }} |
{{ measurement.pressure|unit_format }} |
{% endfor %}
|
{% endif %}
{% endif %}
{% if reaction.conditions.stirring|defined %}
| Type |
{{ reaction.conditions.stirring|type_and_details }} |
| Rate |
{{ reaction.conditions.stirring.rate|type_and_details }} |
{% if reaction.conditions.stirring.rate.rpm %}
| RPM |
{{ reaction.conditions.stirring.rate.rpm }} |
{% endif %}
{% endif %}
{% if reaction.conditions.illumination|defined %}
| Type |
{{ reaction.conditions.illumination|type_and_details }} |
| Peak Wavelength |
{{ reaction.conditions.illumination.peak_wavelength|unit_format }} |
{% if reaction.conditions.illumination.color %}
| Color |
{{ reaction.conditions.illumination.color }} |
{% endif %}
| Distance to Vessel |
{{ reaction.conditions.illumination.distance_to_vessel|unit_format }} |
{% endif %}
{% if reaction.conditions.electrochemistry|defined %}
| Type |
{{ reaction.conditions.electrochemistry|type_and_details }} |
| Cell Type |
{{ reaction.conditions.electrochemistry.cell|type_and_details }} |
| Current |
{{ reaction.conditions.electrochemistry.current|unit_format }} |
| Voltage |
{{ reaction.conditions.electrochemistry.voltage|unit_format }} |
{% if reaction.conditions.electrochemistry.anode_material %}
| Anode Material |
{{ reaction.conditions.electrochemistry.anode_material }} |
{% endif %}
{% if reaction.conditions.electrochemistry.cathode_material %}
| Cathode Material |
{{ reaction.conditions.electrochemistry.cathode_material }} |
{% endif %}
| Electrode Separation |
{{ reaction.conditions.electrochemistry.electrode_separation|unit_format }} |
| Rate |
{{ reaction.conditions.stirring.rate|type_and_details }} |
{% if reaction.conditions.stirring.rate.rpm %}
| RPM |
{{ reaction.conditions.stirring.rate.rpm }} |
{% endif %}
{% if reaction.conditions.electrochemistry.measurements %}
| Measurements |
| Time |
Value |
{% for measurement in reaction.conditions.electrochemistry.measurements %}
| {{ measurement.time|unit_format }} |
{{ measurement|oneof|unit_format }} |
{% endfor %}
|
{% endif %}
{% endif %}
{% if reaction.conditions.flow|defined %}
| Type |
{{ reaction.conditions.flow|type_and_details }} |
{% if reaction.conditions.flow.pump_type %}
| Pump Type |
{{ reaction.conditions.flow.pump_type }} |
{% endif %}
| Tubing |
{{ reaction.conditions.flow.tubing|type_and_details }} |
| Tubing Diameter |
{{ reaction.conditions.flow.tubing.diameter|unit_format }} |
{% endif %}
{% if reaction.conditions.HasField('reflux') %}
| Reflux |
{{ reaction.conditions.reflux }} |
{% endif %}
{% if reaction.conditions.HasField('ph') %}
pH |
{{ reaction.conditions.ph }} |
{% endif %}
{% if reaction.conditions.HasField('conditions_are_dynamic') %}
Conditions are dynamic |
{{ reaction.conditions.conditions_are_dynamic }} |
{% endif %}
{% if reaction.conditions.details %}
Details |
{{ reaction.conditions.details }} |
{% endif %}


I am Ganna Androsova, PhD student in Bioinformatics. I started my journey as a Data Scientist during my Master, where I learned programming, researching and presenting results, and I then decided to bring it to the next level: PhD. I have always been motivated to make a difference to the world, which is why I chose the biomedical field and a practical AI application.
Step-by-step I have gained technical background (Python, R, Statistics, Machine Learning, etc.), which is a good start to becoming a Data Scientist. Wish me luck and follow my journey!
From simple models like regression or decision trees all the way up to the deep learning and neural networks.
From assessing assumptions in inferential statistics to exploring priors in Bayesian statistics.
From forming hypothesis to drawing informed conclusions leveraging data.
From making data-driven decisions to predicting future outcomes.
| Programming Languages | R | Python | Perl | |
| Web Development | HTML | CSS | PHP | |
| Statistics | Inferential Statistics | Generalized Linear Modeling | Bayesian Statistics | |
| Visualisation Tools | ggplot2 | Matplotlib | Adobe Photoshop | |
| Reports & Presentations | R Markdown | Jupyter Notebook | MS Office Suite |


NFAT
A family of transcription factors characterized by the presence of highly conserved calcineurin- and DNA-binding domains. NFAT proteins are activated in the CYTOPLASM by the calcium-dependent phosphatase CALCINEURIN. They transduce calcium signals to the nucleus where they can interact with TRANSCRIPTION FACTOR AP-1 or NF-KAPPA B and initiate GENETIC TRANSCRIPTION of GENES involved in CELL DIFFERENTIATION and development. NFAT proteins stimulate T-CELL activation through the induction of IMMEDIATE-EARLY GENES such as INTERLEUKIN-2.
(mesh:D050778)
Cross-references
Synonyms
| Synonym |
Reference |
Specificity |
| NFAT |
|
Exact
|
Incoming Relations
Outgoing Relations
None available.


Crash leaves 40,000 pounds of tortillas scattered on highway
by CNN, DigitalFOSTER TOWNSHIP, PA (WNEP) -- Thousands of tortillas littered a road after a crash involving two tractor trailers and a car in Schuylkill County, Pa.
Busy Route 901 was shut down for hours outside Minersville after a crash that left police say 40,000 pounds flour tortilla scattered all over the roadway.
As traffic was detoured around the crash site, crews worked to get the vehicles and the mess out of the way while police investigated what happened.
Dan Fritz got caught in the backlog coming home from work.
“The traffic back up was real bad because of the wreck, there's always wrecks because trucks come down there too fast,” said Fritz.
Foster Township police say speed was a factor in this wreck.
They say the truck hauling the tortillas was coming eastbound on Route 901 around noon on Wednesday when it took this curve too fast and its trailer began to wobble.
It slid into another tractor-trailer coming westbound, hitting its cabin, temporarily pinning the driver and his passenger inside.
The first truck continued on, hitting a car behind the second truck.
The force of the impact caused the first truck to topple over.
People living near Route 901 say speeding trucks are a problem.
“Tractor-trailers are a big issue in the township, going too fast,” said Joe Zula.
“The issue is over at that turn because the trucks come down there too fast and these guys don`t know how to drive,” said Fritz. “So, that's what happens and then everybody else is affected in this area.”
There's even a sign posted warning tractor-trailer drivers they may topple overtaking this curve.
Residents say they want drivers to slow down but don't know how to make them do it.
“This town has cop but I don't any kind of surveillance out there to slow them down,” said Larry Gelch.
“That I don't know, the speed limits are up but I don't know how you control it, don't know,” said Zula.
Route 901 reopened around 5 p.m. on Wednesday and the investigation is ongoing.
The driver and passenger in the second truck, as well as the driver of the car, were taken to the hospital for minor injuries.
The driver of the truck that toppled over remained at the crash.


| Y-DNA haplogroups |
|---|
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| | MtDNA haplogroups |
|---|
|
| | Other DNA pages |
|---|
|
|
|
|
| Eupedia Home > Genetics > Genes & SNP's > Mutations related to neuropsychological conditions
| Genes and mutations associated with neuropsychological conditions and disorders |
|---|
If you tested your DNA with a personal genomics service like 23andMe, DeCODEme, FTDNA's Family Finder or another testing company, you can learn more about your risk factors for hundreds of diseases. Many of these SNP's are tested but not (yet) part of the report provided by personal genomics companies. This is free extra information.
We recommend that you install the SNPTips add-on for Mozilla Firefox to browse these pages. It allows you to upload your DNA results in the browser and show instantly which allele variant you have for each of the SNP listed below.
What can DNA tell you about yourself ?
List of neuropsychological conditions and disorders with associated genes and SNP's
Alleles : This list comprises positive, neutral and negative traits
and conditions. Therefore we won't refer to risk factor like for diseases
here. Correlated alleles can be either strongly
associated (over 3x higher chances) or moderately
associated (up to 3x higher chances) with each condition/trait.
In some cases the allele can be negatively correlated
(lower chances). Depending on the testing company, sometimes A is reported
as T, and G is reported as C, or vice-versa.
Testing companies :
A = 23andMe (all versions) ; A2* = 23andMe (v2 only) ; A2 = 23andMe (v2 & v3) ; A3 = 23andMe (v3 only)
B = DeCODEme
Bold letters indicate that the SNP is part of the official report, and is therefore likely to be more reliable. Only SNP's in the official report are listed for deCODEme.
| Description |
Chromosome |
Gene |
SNP |
Alleles |
Tested by* |
Links |
| ADHD |
3 |
SLC9A9 |
rs1242075 |
CC, CT,
TT |
A3 |
Gizer et al. (2009) , Anney et al. (2008), Faraone at al. (2001), ADHD Genetic Research |
|
3 |
HES1 |
rs4686673 |
AA, AG,
GG |
A3 |
|
|
4 |
CLOCK |
rs1801260 |
AA, AG, GG |
A |
|
|
4 |
DRD5 |
Dinucleotide repeat |
148-bp allele |
|
|
|
5 |
SLC1A3 |
rs2269272 |
|
A3 |
|
|
5 |
SLC6A3 (DAT1) |
rs27072 |
AA, AG,
GG |
A |
|
|
6 |
HTR1B |
rs6296 |
CC, CG, GG |
A |
|
|
7 |
DDC |
rs11575454 |
CC, CG,
GG |
|
|
|
|
|
rs1466163 |
AA, AG,
GG |
|
|
|
9 |
DBH |
rs1611115 |
CC, CT, TT |
A |
|
|
11 |
FADS2 |
rs518511 |
AA, AC, CC |
|
|
|
11 |
DRD4 |
rs1800955 |
CC, CT, TT |
|
|
|
|
|
VNTR |
7-repeat |
|
|
|
11 |
BDNF |
rs6265 |
AA, AG, GG |
A |
|
|
12 |
NTF3 |
rs6332 |
AA, AG,
GG |
A |
|
|
12 |
TPH2 |
rs1386493 |
AA, AG,
GG |
A |
|
|
|
|
rs17110747 |
AA, AG, GG |
|
|
|
|
|
rs1843809 |
AA, AC, CC |
A |
|
|
13 |
HTR2A |
rs6314 |
AA, AG,
GG |
A |
|
|
16 |
SLC6A2 (NET) |
rs3785143 |
AA, AG,
GG |
A |
|
|
17 |
ARRB2 |
rs7208257 |
AA, AG, GG |
|
|
|
17 |
PNMT |
rs200173 |
AA, AG,
GG |
|
|
|
17 |
5-HTT (SERT) |
rs25531 |
AA, AG, GG, |
A3 |
|
|
20 |
SNAP25 |
rs3746544 |
AA, AC,
CC |
A |
|
|
|
|
rs3787283 |
|
A3 |
|
|
|
|
rs363026 |
AA, AC,
CC |
|
|
|
|
|
rs6039806 |
AA, AC, CC,
|
A3 |
|
|
22 |
ADRBK2 |
rs3730315 |
AA, AG, GG |
|
|
| Autism |
A |
PTGS2 |
rs2745557 |
AA, AG,
GG |
A3 |
SNPedia
|
|
B |
ITGA4 |
rs1143674 |
AA, AG,
GG |
A3 |
Wikipedia |
|
5 |
DRD1 |
rs265981 |
AA, AG, GG |
A |
|
|
|
|
rs4532 |
CC, CT, TT |
A |
|
|
|
|
rs686 |
AA, AG,
GG |
A |
|
|
7 |
MET |
rs1858830 |
CC, CG,
GG |
A |
|
| Autism (delayed onset of speech) |
7 |
CNTNAP2 |
rs7794745 |
|
A |
|
|
|
|
rs2710102 |
|
A |
|
| Autism (Asperger's syndrome) |
1 |
DISC1 |
rs1322784 |
|
A3 |
|
|
5 |
APC |
rs1804197 |
|
A |
|
|
|
|
rs2229992 |
CC, CT, TT |
A2* |
|
|
|
|
rs42427 |
AA, AG, GG |
|
|
|
|
|
rs459552 |
AA, AT, TT |
A |
|
|
|
|
rs465899 |
AA, AG, GG |
A3 |
|
| Anxiety |
1 |
NGF |
rs6330 |
|
A |
|
|
12 |
TPH2 |
rs4570625 |
GG, GT, TT |
A |
|
|
|
|
rs4565946 |
|
A |
|
| Bipolar disorder |
5 |
DAT |
|
|
|
SNPedia
- Genetic Future |
|
12 |
TPH2 |
rs4570625 |
|
A |
|
|
|
|
rs11178997 |
AA, AT, TT |
A |
|
|
13 |
HTR2A |
|
|
|
Genetic Future, Wikipedia |
|
13 |
DGKH |
rs1012053 |
AA, AC, CC |
A |
|
|
16 |
PALB2 |
rs420259 |
AA, AG, GG |
A |
|
|
22 |
BCR |
rs140504 |
AA, AG, GG |
A |
|
|
|
|
rs131690 |
AA, AG, GG |
A |
|
|
|
|
rs131702 |
GG, GT,
TT |
A3 |
|
| Depression |
1 |
MTHFR |
rs1801133 |
AA, AG, GG |
A |
Kendler et al. (2006) - BJPsych |
|
2 |
PDE11A |
rs3770018 |
AA, AC, CC |
|
|
|
5 |
DAT |
|
|
|
|
|
7 |
CHRM2 |
rs1824024 |
AA, AC, CC |
A |
|
|
|
|
rs2061174 |
AA, AG, GG |
A |
|
|
|
|
rs324650 |
AA, AT, TT |
A |
|
|
11 |
BDNF |
rs6265 |
AA, AG, GG |
A |
|
|
11 |
TPH1 |
rs1799913 |
GG, GT, TT |
A |
|
|
|
|
rs7933505 |
AA, AG, GG |
A |
|
|
13 |
HTR2A |
|
|
|
|
|
17 |
SERT (5HTT) |
|
|
|
|
|
21 |
PDE9A |
rs729861 |
CC, CT,
TT |
|
|
|
22 |
BCR |
rs3761418 |
AA, AG, GG |
A3 |
|
|
|
|
rs2267012 |
AA, AG, GG |
A3 |
|
|
|
|
rs2267013 |
AA, AG, GG |
A |
|
|
|
|
rs2267015 |
AA, AT,
TT |
|
|
|
|
|
rs2156921 |
AA, AG, GG |
A |
|
|
|
|
rs3313172 |
CC, CG,
GG |
|
|
| Dyslexia |
6 |
KIAA0319 |
rs761100 |
GG, GT, TT |
A |
SNPedia |
|
|
|
rs4504469 |
CC, CT, TT |
A |
|
|
|
|
rs3212236 |
AA, AG, GG |
A |
|
|
6 |
DCDC2 |
rs793862 |
AA, AG,
GG |
A |
|
|
|
|
rs807701 |
CC, CT,
TT |
A |
|
|
6 |
TTRAP |
rs2143340 |
CC, CT,
TT |
A |
|
| Epilepsy |
18 |
ME2 |
rs642698 |
AA, AC, CC |
A |
|
| Obsessive-Compulsive Disorder |
3 |
DRD3 |
rs6280 |
CC, CT, TT |
A |
Link |
|
11 |
ANKK1 |
rs1800497 |
AA, AG,
GG |
A |
|
|
12 |
TPH2 |
rs4570625 |
GG, GT, TT |
A |
|
|
|
|
rs4565946 |
CC, CT, TT |
A |
|
|
17 |
SERT (5HTT) |
|
|
|
|
|
17 |
SLC6A4 |
rs25531 |
|
A3 |
|
|
|
|
rs25532 |
CC, CT,
TT |
A3 |
|
|
22 |
COMT |
rs4680 |
AA, AG,
GG |
A |
Spittoon |
| Schizophrenia |
A |
DISC1 |
rs3738401 |
AA, AG, GG |
A |
SNPedia
- Hall et al. (2006) |
|
|
|
rs6675281 |
CC, CT, TT |
A |
|
|
A |
CHI3L1 |
rs4950928 |
CC, CG, GG |
A |
|
|
6 |
DTNBP1 |
rs760761 |
AA, AG, GG |
A |
|
|
|
|
rs1018381 |
AA, AG, GG |
A |
|
|
|
|
rs2619522 |
AA, AC, CC |
A |
|
|
8 |
SLC18A1 |
rs2270641 |
GG, GT, TT |
|
|
|
10 |
intergenic |
rs17101921 |
AA, AG, GG |
|
|
|
13 |
HTR2A |
|
|
|
|
|
11 |
DRD2 |
rs1801028 |
CC, CG, GG |
A |
|
|
|
|
rs6277 |
CC, CT,
TT |
A |
|
|
11 |
TPH1 |
rs7933505 |
|
A |
Szgene |
|
|
|
rs1800532 |
AA, AC, CC |
A |
|
|
|
|
rs211105 |
|
A |
|
|
11 |
intergenic |
rs10790212 |
CC, CT, TT |
A |
|
|
11 |
intergenic |
rs497768 |
|
A |
|
|
22 |
GNB1L |
rs2269726 |
CC, CT, TT |
A |
|
|
22 |
COMT |
rs4680 |
AA, AG, GG |
A |
|
|
|
|
rs737865 |
AA, AG, GG |
A |
|
|
|
|
rs165599 |
AA, AG, GG |
A |
|
|
X |
CSF2RA |
rs4129148 |
CC, CG, GG |
A |
|
|
|
|
rs28694718 |
CC, CT, TT |
A |
|
|
|
|
rs28414810 |
CC, CG, GG |
A2* |
|
|
X |
IL3RA |
rs6422441 |
CC, CT, TT |
|
|
|
|
|
rs6603272 |
GG, GT, TT |
A |
|
|
|
|
rs17883192 |
CC, CG,
GG |
A |
|
| Social Phobia |
A |
RGS2 |
rs4606 |
CC, CG,
GG |
|
|
|
17 |
SLC6A4 (SERT or 5HTT) |
rs140701 |
AA, AG,
GG |
A |
|
|
|
|
rs3794808 |
CC, CT, TT |
A |
|
|
|
|
rs4583306 |
AA, AG, GG |
A |
|
|
|
|
rs25531 |
|
A3 |
|
|
|
|
|
|
|
|
|


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module ActiveRecord::ConnectionAdapters::PostgreSQL::Quoting
Public Instance Methods
escape_bytea(value)
click to toggle source
Escapes binary strings for bytea input to the database.
# File lib/active_record/connection_adapters/postgresql/quoting.rb, line 6 def escape_bytea(value) @connection.escape_bytea(value) if value end
quote_table_name(name)
click to toggle source
Checks the following cases:
-
table_name
-
“table.name”
-
schema_name.table_name
-
schema_name.“table.name”
-
“schema.name”.table_name
-
“schema.name”.“table.name”
# File lib/active_record/connection_adapters/postgresql/quoting.rb, line 30 def quote_table_name(name) Utils.extract_schema_qualified_name(name.to_s).quoted end
quote_table_name_for_assignment(table, attr)
click to toggle source
# File lib/active_record/connection_adapters/postgresql/quoting.rb, line 34 def quote_table_name_for_assignment(table, attr) quote_column_name(attr) end
unescape_bytea(value)
click to toggle source
Unescapes bytea output from a database to the binary string it represents. NOTE: This is NOT an inverse of #escape_bytea! This is only to be used on escaped binary output from database drive.
# File lib/active_record/connection_adapters/postgresql/quoting.rb, line 13 def unescape_bytea(value) @connection.unescape_bytea(value) if value end
Private Instance Methods
_quote(value)
click to toggle source
Calls superclass method
# File lib/active_record/connection_adapters/postgresql/quoting.rb, line 69 def _quote(value) case value when Type::Binary::Data "'#{escape_bytea(value.to_s)}'" when OID::Xml::Data "xml '#{quote_string(value.to_s)}'" when OID::Bit::Data if value.binary? "B'#{value}'" elsif value.hex? "X'#{value}'" end when Float if value.infinite? || value.nan? "'#{value}'" else super end else super end end
_type_cast(value)
click to toggle source
Calls superclass method
# File lib/active_record/connection_adapters/postgresql/quoting.rb, line 92 def _type_cast(value) case value when Type::Binary::Data # Return a bind param hash with format as binary. # See http://deveiate.org/code/pg/PGconn.html#method-i-exec_prepared-doc # for more information { value: value.to_s, format: 1 } when OID::Xml::Data, OID::Bit::Data value.to_s else super end end


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Model understanding in Notebooks
The What-If Tool is available as an extension in Jupyter, Colaboratory, and Cloud AI Platform notebooks. Use the What-If Tool to analyze classification or regression models on datapoints as inputs directly from within the notebook.
A custom prediction function can be used to load any model, and provide additional customizations to the What-If Tool, including feature attribution methods like SHAP, Integrated Gradients, or SmoothGrad.
Notebooks
Easily explore Cloud AI model results
The What-If Tool can be easily configured to analyze AI Platform Prediction-hosted classification or regression models.
Use the What-If Tool to display and investigate attribution values for individual input features in relation to model predictions.
Notebooks
Use the What-If Tool in TensorBoard
Quickly explore your models in the What-If Tool from directly within TensorBoard, by providing the What-If Tool with a model server host and port, and a dataset for the model to perform predictions on.
The What-If Tool accepts a variety of data types. Upload data as tf.Examples, tf.SequenceExamples, or even a CSV file.


Amazon Web Services is a secure cloud services platform, offering compute power, database storage, content delivery and other functionality to help businesses scale. AWS certification training helps you scale your cloud skills and gain expertise in AWS platform. AWS Technical Essentials, AWS Developer, AWS Solution Architect, AWS Sys Ops are the major courses offered.
In this course we will start with a broad overview of the AWS platform and then deep dive into the individual elements of the AWS platform. You will explore Route53, EC2, S3, Cloud Front, Autoscaling, Load Balancing, RDS, RedShift, DynamoDB, EMR, VPC etc.
Before attending this course, participants should have:
Amazon AWS Advance and Operations
Number of Day - 3
This also course covers topics to help you operate a Dockerized application environment. From understanding Docker Orchestration with Machine, Swarm and Compose, to security best practices and troubleshooting Docker containers. Private repository and registry concepts are also explained in this course. This two day course is designed to help new and experienced systems administrators learn to use Docker to control the Docker daemon, security, Docker Machine, Swarm, and Compose.
1. Welcome: Course Overview
Welcome to the AWS SysOps Administrator series! In this Nugget, Jeremy walks you through an overview of the series, prerequisite material requirements, and explains how to get the most out of the time you spend here. So, what is your billion dollar idea? |
2. VPC: Building Your Network Foundation
AWS has all but abandoned the original "EC2 Classic network wasteland" in favor of Virtual Private Cloud (VPC). In this Nugget, Jeremy discusses the importance of building your cloud instances on the right foundation, walking through the benefits of VPC, the intial VPC setup (explaining the components created with the VPC wizard), and understanding the routing functions of VPC. |
3. VPC: The Nitty Gritty Configuration
Yes. This is a Nacho Libre reference. Please forgive us. This Nugget goes "beyond the wizard" and into the individual VPC components. By the time you're through, you'll have a much better understanding of each of the VPC elements (route table, IGW, ENI, EIP, etc.). You'll also gain an appreciation for the "art" involved in adding a second NIC (ENI) to an Ubuntu instance! |
4. VPC: Security Groups and NACLs
In terms of security, the internet can be a nasty place. In this Nugget, Jeremy walks through the concepts and configuration of two layers of security you can add to your VPC-based AWS deployment: Security Groups and Network Access Control Lists (NACLs). |
5.  In this Nugget, Jeremy explores your VPN options and walks through the configuration of a site-to-site hardware VPN. |
6. VPC: Designing for High Availability
This Nugget is your CRAM SESSION on all things High Availability (HA). In here, Jeremy walks through redundant designs for Direct Connect, NAT Instances, Elastic Load Balancer (ELB), Web / Database Applications, Session State, and Route 53. Whew! |
7. EC2: Instance Types and Performance Implications
It sounds like a drive through restaurant - "I'll take 5 of the m3 extra large...uhhh...and give me one of the t2 micros with ketchup on the side." What does all this mean? That's what this Nugget is all about! Join us as we explore the AWS Pricing Models (On-Demand, Reserved, Spot) and instance types. |
8. EBS: Understanding EBS
This Nugget conveys the essence of EBS (comparing it to S3 and Ephemeral storage) and discusses EBS usage, limits, durability, and backups. |
9. EBS: Snapshot Backup and Replication
Understanding the interaction between EBS and S3 is essential to your success with AWS. In this Nugget, you will understand how EBS and S3 work together, how to create EBS Snapshots (how to do it, the best time to do it, etc...), and the S3 to EBS "Lazy Load" process. |
10. EBS: Getting More Speed and IOPS
EBS has the potential to "make or break" the performance of your instances running in AWS. In this Nugget, Jeremy discusses ways you are able to increase the performance (throughput and IOPS) of your EBS volumes, which range from completely "free" strategies (is anything free?) to paid EBS-Optimized / Provisioned IOPS instances. |
11. S3: Understanding the Properties of S3
Amazon S3 provides unlimited, ultra-durable cloud storage; however, what is behind this "storage bucket in the sky?" Is it trustworthy? Can you secure it? Can you map a drive and install a program to it? All these answers (and plenty more) in this Nugget. |
12. S3: Securing S3 Buckets
A man, bucket policies, and the edge of humanity (you'll understand once you watch). In this Nugget, Jeremy focuses on the three methods you can use to secure S3 Buckets: Identity and Access Management (IAM), Bucket Policies, and Access Control Lists (ACLs). |
13. S3: Website Hosting from S3
AWS S3 services provide not only insanely durable storage (99.99999999999% durability), but also the ability to host static website content (image libraries, downloads, streaming files, etc...) directly out of the S3 bucket! In this Nugget, Jeremy demonstrates the process of making this happen and even brings a REALLY cute bunny on-board. |
14. ELB: Elastic Load Balancer Concepts
It is virtually impossible to tap the full potential of AWS without a thorough understanding of the Elastic Load Balancer (ELB). In this Nugget, Jeremy unpacks the key concepts behind this mystical device. |
15. ELB: Elastic Load Balancer Implementation
This Nugget is dedicated to ELB implementation. Jeremy walks through each step of the process in creating an ELB and stops to explain some typically confusing concepts (cross-zone load balancing and connection draining). |
16. AutoScaling: Key AWS AutoScaling Concepts
It's time for another one of those paradigm-shifting cloud concepts: AutoScaling. In this Nugget, Jeremy shares the key principles and elements that makes the cloud an "elastic" design. |
17. DNS: Understanding Route 53 Capabilities
DNS...translates domain names to IP addresses...seems simple, right? Very few realize the instrumental and fundamental role DNS plays in your system performance and keeping your web-based services running at all! In this Nugget, Jeremy breaks down the "AWS way" of handling DNS: Route 53! You will see what Route 53 offers that others do not along with a foundation understanding of DNS methods and core records. |
18.  In here, you will learn the process of AWS domain registration, record creation, redundancy (including weighted, latency, failover, and geoDNS), and health checks. |
19. IAM: Understanding IAM Concepts
Using the Master account you created when you signed up for AWS is similar to using the root account for all your Linux administration: you shouldn't do it. In this Nugget, Jeremy walks through the IAM "Big Picture," discusses the IAM elements (users, groups, roles, policies, and permissions), and even explores Java Script Object Notation (JSON) basics. |
20. IAM: A Walkthrough IAM
Sometimes just seeing the puzzle pieces fit together helps quickly solidify all the concepts! In this Nugget, Jeremy walks through the configuration of users, groups, roles, and policies (we especially liked the part where he enabled MFA on the user account!). |
21. Monitoring: Understanding and Configuring CloudWatch
The title says it all! In this Nugget, Jeremy discusses what you are able to monitor in the AWS system using CloudWatch and walks through the configuration of metric monitoring and alarms (in addition to finding a surprising billing alarm that we will be discussing with Jeremy directly). |
22. Backups: Understanding EBS, S3, and RDS Backup Options
After a traumatic introduction, Jeremy unpacks snapshot backups and other backup strategies for EBS, S3, and RDS databases. |
23. RDS: Understanding RDS Foundations
It's time to dive into the database world! Nearly all of the web-based applications rely on some sort of database back end. It would make sense that that back end is ultra reliable, right? In this Nugget, Jeremy walks through the core concepts of Amazon Relational Database Service (RDS) and shows just how easy it is to set up a redundant, backed up database in multiple data centers. |
24. RDS: High Availability and Load Sharing
Nearly everyone selects the "MultiAZ" option for their RDS database when they initially bring up the instance, but what does that mean? In this Nugget, Jeremy unpacks the specifics of this feature as well as the load sharing capabilities of Read Replicas. |
25. SECURE: Handling IT Audits, Security Token Service, and Trusted Advisor
This self-proclaimed "Miscellaneous Security Grab-Bag" of topics is a wild ride through the process of handling a shared-security IT audit, providing temporary authentication credentials with the Security Token Service (STS), and saving money and security failures with Trusted Advisor. |
26. EXAM: Study Strategies and Exam Mindset
Are you considering taking the AWS SysOps Admin certification exam? Then this Nugget is for you! In here, Jeremy goes through the exam mindset and study tips that gear you for success! |
27. EXAM: The Living Glossary
It's a brand new idea: The AWS Living Glossary! Because there are so many new terms in the AWS world, Jeremy felt it would be a good idea to get a fly-by review of the key terms in AWS before venturing into the exam. |
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Welcome to WorkNET, the world's future largest professional network with big ambitions and accessible to all territories around the globe. Our mission is simple: To connect the world's professionals to make them more productive and successful. When you join WorkNET, you get access to people, jobs, news, updates, and insights that help you be great at what you do.
Welcome to WorkNET, the world's future largest professional network with big ambitions and accessible to all territories around the globe. Our mission is simple: To connect the world's professionals to make them more productive and successful. When you join WorkNET, you get access to people, jobs, news, updates, and insights that help you be great at what you do.
Welcome to WorkNET, the world's future largest professional network with big ambitions and accessible to all territories around the globe. Our mission is simple: To connect the world's professionals to make them more productive and successful. When you join WorkNET, you get access to people, jobs, news, updates, and insights that help you be great at what you do.
Welcome to WorkNET, the world's largest professional network with more than 400 million members in 200 countries and territories around the globe. Our mission is simple: To connect the world's professionals to make them more productive and successful. When you join LinkedIn, you get access to people, jobs, news, updates, and insights that help you be great at what you do.


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IFC, the Industry Foundation Classes, defines a complete architectural CAD building model.
An early prototype was designed and implemented by Autodesk in 1996. Later, Autodesk and other companies joined to form the vendor neutral International Alliance for Interoperability or IAI, which continued the implementation of the IFC in a worldwide effort to complete a realistic and useable model.


| Room | Type | RoomStatus | FOStatus | Reason | LastChange | ResolvedOn | ResolvedBy | Remarks |
|---|---|---|---|---|---|---|---|---|
| {{roommaintainlist.rm_room}} | {{roommaintainlist.rm_room_type}} | {{roommaintainlist.rm_room_status}} | {{roommaintainlist.rm_fo_status}} | {{roommaintainlist.rm_mainteanance_reason}} | {{roommaintainlist.rm_last_change}} | {{roommaintainlist.rm_resolvedon}} | {{roommaintainlist.rm_resolvedby}} | {{roommaintainlist.rm_mainteanance_remarks}} |


Dict-Like object. Represents a row of grouped query results.
Common keys:
EventCount
attributeThe following __getitem__
key mapping are added on top of Event
's
"Count":"COUNT(*)", "TotalEventCount":"SUM(Alert.EventCount)"
Meaning that you can use e['TotalEventCount'], it will return e['SUM(Alert.EventCount)'].
| See Also | Object GroupedEventManager | |
| Note | GroupedEvent is NOT suitable for Event's operations like Event.set_note or Event.refresh because there is no ID associated with events records. |
Inherited from Event:
| Class Variable | FIELDS_TABLES | List of internal fields table : Rule ,`Alert`,etc. |
| Class Variable | DEFAULTS_EVENT_FIELDS | No summary |
| Class Variable | REGULAR_EVENT_FIELDS | Offer a base list of regular fields that may be useful. |
| Class Variable | SIEM_FIELDS_MAP_INTERNAL_NAME_TO_NICKNAME | Fields name mapping. |
| Class Variable | SIEM_FIELDS_MAP_NICKNAME_TO_INTERNAL_NAME | Fields name mapping (reversed). |
| Method | __init__ | Create a new event representation |
| Method | __getitem__ | Use the fields name mapping to offer better dict usage |
| Method | __delitem__ | Use the fields name mapping to offer better dict usage |
| Method | __contains__ | Use the fields name mapping to offer better dict usage |
| Method | __setitem__ | Use the fields name mapping to offer better dict usage |
| Method | get_id | Get the event ID. |
| Method | clear_notes | Replace the notes by an empty string. Desctructive action. |
| Method | set_note | Set the event's note. Desctructive action. |
| Method | data_from_id | Load event's data. |
| Method | refresh | Re-load event's data. |
| Method | _find_key | Use the fields name mapping to resolve internal name based on nickname |
Inherited from NitroDict (via Event):
| Instance Variable | data | Underlying dict object |
| Method | __str__ | Same as text attribute. |
| Method | __repr__ | Same as json attribute. |
| Class Variable | text | Printable string representation of the dict: comma separated list of item's values |
| Class Variable | json | JSON string representation of the dict |
| Method | _get_json | Abstract declaration. |
| Method | _get_text | Abstract declaration. |
Inherited from NitroObject (via Event, NitroDict):
| Class | NitroJSONEncoder | Custom JSON encoder that will use the approprtiate propertie depending of the type of NitroObject. TODO support json json dumping of QueryFilers, may be by making them inherits from NitroDict. |
| Instance Variable | nitro | Reference to the NitroSession , interface to the SIEM. |


1 But about the oracles in Hellas, and that one which is in Libya, the Egyptians give the following account. The priests of Zeus of Thebes told me that two priestesses had been carried away from Thebes by Phoenicians; one, they said they had heard was taken away and sold in Libya, the other in Hellas; these women, they said, were the first founders of places of divination in the aforesaid countries.
2 When I asked them how it was that they could speak with such certain knowledge, they said in reply that their people had sought diligently for these women, and had never been able to find them, but had learned later the story which they were telling me.


All Customs Offices have a tax rate of 13%. This is 3% for corporation members with 10% added by CONCORD.


{% block css %}{% endblock %}
{% block title %}{% endblock %} - HanziLevelUp
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Learn new sentences
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Top questions and thoughts from WWDC 2019
Today was the big day of WWDC 2019, and after the excitement of waiting for the keynote, here are my immediate thoughts and reactions to the announcements:
- Declarative UI in Swift seems like a massive step forward for iOS development. I first started iOS development back in iOS 5 at a time when the platform and developer tools for iOS were just vastly more elegant and efficient compared to Android. Since then Android / Google has stepped up its game, with a better IDE (Android Studio), a better language (Kotlin), and recently a declarative UI framework (Flutter). SwiftUI seems like a natural evolution in the competition of UI frameworks, and I'm super excited to see it. Here are some of my deeper thoughts and questions I look forward to exploring:
- How far does SwiftUI embrace pure functional programming? How is state managed?
- I'm curious how functional reactive programming fits into SwiftUI.
- Converting an app incrementally to use SwiftUI seems like a really important feature practically. But in this context one might have much more stateful non-SwiftUI code having to interact with SwiftUI code. How messy will it be to deal with this?
- The live editing and reloading looks super super awesome. However, I'm a bit skeptical about the drag-and-drop editing of UI which actually edits your code. I think if it works well it could be awesome, but I'm worried about the failure that is editing XML layouts in Android. I just need to wait until I actually try it.
 It will take some time to be aware of which features you do or don't get for free, but I think this is a huge plus, both for developers and for Apple. Personally I consider 3D touch to be a bit failure, with one of the factors being slow adoption by developers. Imagine if instead, Apple could have launched 3D touch with automatic support for it in a majority of apps. There is a lot of subtlety and issues here (what if Apple turns on a feature you don't want?), but this is a really interesting feature since it could pay large dividends in the future.
- Improving privacy in APIs: I'm a bit surprised that it took Apple so long to realize that they location tracking settings of iOS are too coarse-grained. Regardless, I'm happy as a user to only let apps use my location once. As a developer, I expect / hope that Apple has made the API for this require nearly no additional code. The "Sign in with Apple" feature also seems pretty great and well thought out.
- Every year Apple shows with gushing emotion and baby pictures a new UI for the photos app. We'll see if this one sticks around.
- The multiwindow support for apps in iPadOS seems like a long time coming. I'm curious what the possibility of IPC is between app windows.
- AR stuff seems cool and fun, but I'm always left wondering why I should care. The motion capture and people occlusion seem like they could open up AR to be useful in other new domains which I might care more about then games. I was a bit disappointed that Apple didn't have more compeling demo of these features (as awesome as Minecraft is).
Anyways, WWDC is super exciting this year, and I'm pretty hyped to give some of these new features and APIs a try. I'll update this as I watch more videos from the conference!


ros-init - Create a roswell script (optionally based on a template)
ros init [template] name
Initialises [name].ros.
The default template is something like:
#!/bin/sh
#|-*- mode:lisp -*-|#
#| <Put a one-line description here>
exec ros -Q -- $0 "$@"
|#
(defpackage :ros.script.test.3666781082
(:use :cl))
(in-package :ros.script.test.3666781082)
(defun main (&rest argv)
(declare (ignorable argv)))
;;; vim: set ft=lisp lisp:
This is basically a shell script which immediately invokes Roswell by exec (see sh(1)). Roswell loads the same script as an input, skips multi-line comments, reads the rest of the file as a Common Lisp program, and finally invokes a function main with command-line arguments.
sbcl(1) ros(1)
_


Man dies in Glasgow after being found in freezing city centre car park
by Sean MurphyA man has died after being found unwell in a freezing city-centre car park in Glasgow.
The 43-year-old man, who has not yet been named, was discovered at the NCP car park on Mitchell Street at around 5.50pm on Sunday.
He was taken to Glasgow Royal Infirmary after taking unwell, police later confirmed that he died after arriving at hospital.
Following earlier reports that the man was homeless, a spokeswoman for Glasgow’s Health & Social Care Partnership stated that it was yet to be confirmed if he was or not, she said: “Homelessness services have not been officially notified of the death of anyone they have been working with.
“We await formal identification of the deceased and, of course, will fully assist the police and emergency services in their investigation, if requested to do so.”
A spokesperson for the police said: "Around 5.50pm on Sunday 17 November 2019, police were called to a report of a man unwell within a car park in Mitchell Lane, Glasgow.
"The 43 year-old man was taken to Glasgow Royal Infirmary, where he was pronounced dead.
"A post mortem examination will take place in due course, however at this time the death is not being treated as suspicious."


{% extends "layouts/base-fullscreen.html" %} {% block title %} Sign UP {% endblock %} {% block stylesheets %}{% endblock stylesheets %} {% block content %} Sign Up Enter your email and password to register Name Email Password I agree the Terms and Conditions Sign Up {% endblock content %} {% block javascripts %}{% endblock javascripts %}
Enter your email and password to register


Conference Papers
-
R. Maia, R. Cerqueira, and R. Cosme.
OiL: An Object Request Broker in The Lua Language.
In Proc. 5th Tools Session of the Brazilian Simposium on Computer Networks (SBRC2006), Curitiba, Brazil, June 2006.
-
R. Maia, R. Cerqueira, and F. Kon.
A Middleware for Experimentation on Dynamic Adaptation.
In Proc. 4th Workshop on Adaptive and Reflective Middleware (ARM2005), co-located with 6th International Middleware Conference, Grenoble, France, November 2005.


As you can imagine, the organisation of Spring Congress 2017 is well underway. This time, we wanted to offer you some insight into how we view our tasks and how are we experiencing the whole process. Enjoy!
Working weekend
The core team was assembled, so the work could begin. We gathered at our regular meetings, but there was just something missing… We were newly assembled and we had to create some sort of a bond, so we’d stick together through good and bad times. So we decided to go on a weekend working trip to the seaside. We worked for 3 whole days, brainstormed, drew on flipcharts, and made SWOT analyses about what we could offer companies so that they would support us. We even thought about combining our local JobFair and Congress into one event, which would tell the story of EESTEC.
Our brains were fried since we had been working almost 18 hours per day. We needed some time off so we decided to play Slovenian 4 player card game (tarock) which really bonds a group of players. We ate all the time and there were coffee and tea running through our veins pumping the blood to our brains. We had a barbeque, drank beer, went to the beach, danced a little bit, listened to music on LC Ljubljana block rocker...
Partnership campaign
The partnership campaign allows us to finance Spring Congress and, because of that, you could say it is one of the most important elements of the organising process.
We started with the partnership campaign in October when we prepared cooperation packages that we could offer companies (company promotion, case-studies, presentations...) and a list of companies we wanted to participate with. Our designer then designed the offer and we sent it to the companies in November. Several companies replied and we set meetings, where we presented the Spring Congress and possibilities of cooperation. Based on the meeting, companies decided to invest in the Spring Congress.
I would like to thank all the companies for supporting Spring Congress. I promise you that we will not disappoint you.
Meetings with companies and partners
Sitting in an empty room and waiting. The doors open, two people come in. They start asking questions.You are afraid that you won't present an interesting offer for the company. But that doesn’t happen at all. After having more than 30 meetings we experienced almost everything that can happen in a meeting. But there were only good things.
You start the meeting with coffee or even lunch and then talk a bit about how everything is going. Sometimes they tell you their life story or what happened to their dog yesterday morning. Only after that do you start talking about business. You start describing how awesome EESTEC is, talking about all the opportunities they will have with such an event as the Congress. The best moment is when they are really satisfied with the work we do and they say: "We are interested in sponsoring your event."
After so many meetings we learned that it is actually not so difficult to find sponsors. You just need to believe in your project!
Extending the team
Applying to a congress organisation team is a very scary thing for a new LC member. The desire for new knowledge and challenges is after all not enough for a freshman to apply for the organisation of such an enormous event. The core team's approach was the reason I applied. I thought I had to have plenty of prior knowledge in order to apply, but that was not the case. All new members of the team are new LC members and the initiation is very friendly. I think having new members in the team is a relief for the older, more experienced members. We take on tasks that do not present any challenge at all for them, while we learn a lot.
Online meetings
Spring congress organizational team is a local team, however, we operate as an online team. Since our congress leader is currently studying in Novi Sad, we gather every Wednesday at 5pm at our premises in Ljubljana and make a videoconference call with others who are online. Nevertheless, sometimes internet connection problems occur and therefore some topics have to be discussed two times, three times, four times… :D
In order not to forget discussed issues we write meeting minutes. We believe online meetings are very effective as sometimes we are not able to attend meetings in person due to exam period, holidays or illness. Still we prefer “offline” meetings and we try to participate in them as much as possible.
Communication with EESTEC International
Communication with the International Board (IB). Hm, sounds kind of formal, right? Well, it is exactly the opposite. A few e-mails and a lot more direct communication via Slack, which we use like a casual FB messenger chat. The chairwoman, Maria Kouneli, is handling most of the comm with us. Till now we had only 7 online meetings, maybe 120 emails exchanged and definitely more than 1500 direct messages via Slack (with meaningful content, not chit-chat ;) ). Oh, and Slack introduced threads in January, what was a great boost in messages for us!
Topics ranged from logistics to partnerships, public relations… Maria and I are in almost daily contact to sort things out when they appear. But as the Congress is approaching, this communication is expected to at least double and I think a lot of this will fall on online meetings. But let’s wait and see, and I’ll report back later on :)
In search of accommodation
The first task I was given after joining the Spring Congress Organizing Committee was to take care of accommodation for Alumni Congress and Unofficial participants. It started off by exchanging a lot of emails and creating probably the longest email thread in my inbox (over 70 messages and growing). We narrowed our selection down to three hostels and arranged meetings with them. After the meeting in Hostel Tresor, Leon and I knew this where the unofficial participants were going to stay, since it was better than others in most aspects. I reserved this hostel and another one for Alumni Congress.
I thought everything was arranged when one day an email came in that turned everything upside down. I had to reread it to make sure it was really happening. The hostel that was supposed to host Alumni participants cancelled our reservation. I had to urgently send more inquiries and luckily the first offer worked for us. After the deposit was paid for both hostels the weight was lifted off my shoulders and I was ready for new tasks.
Trip to Kranjska Gora
Kranjska Gora is an important Slovene tourist destination and has apparently been the prime destination for EESTEC LC Ljubljana, when it comes to the unofficial part of events. Being a new EESTEC member, I have not experienced what the town has to offer, however I expect it to be very enjoyable, as the senior members have highly praised it. The trip to Kranjska Gora takes about a good hour. Most of the people will be staying in apartments Nina and Tina, and a small portion will be accommodated in Gozd Martuljek. The rooms all looked great and I think that everyone will enjoy them.


HTTP Request Randomizer ¶
A convenient way to implement HTTP requests is using Pythons’ requests library. One of requests’ most popular features is simple proxying support. HTTP as a protocol has very well-defined semantics for dealing with proxies, and this contributed to the widespread deployment of HTTP proxies
Proxying is very useful when conducting intensive web crawling/scrapping or when you just want to hide your identity (anonymization).
In this project I am using public proxies to randomise http requests over a number of IP addresses and using a variety of known user agent headers these requests look to have been produced by different applications and operating systems.
Proxies¶
Proxies provide a way to use server P (the middleman) to contact server A and then route the response back to you. In more nefarious circles, it’s a prime way to make your presence unknown and pose as many clients to a website instead of just one client. Often times websites will block IPs that make too many requests, and proxies is a way to get around this. But even for simulating an attack, you should know how it’s done.
User Agent¶
Surprisingly, the only thing that tells a server the application triggered the request (like browser type or from a script) is a header called a “user agent” which is included in the HTTP request.
The source code¶
The project code in this repository is crawling five different public proxy websites: * http://proxyfor.eu/geo.php * http://free-proxy-list.net * http://rebro.weebly.com/proxy-list.html * http://www.samair.ru/proxy/time-01.htm * https://www.sslproxies.org
After collecting the proxy data and filtering the slowest ones it is randomly selecting one of them to query the target url. The request timeout is configured at 30 seconds and if the proxy fails to return a response it is deleted from the application proxy list. I have to mention that for each request a different agent header is used. The different headers are stored in the /data/user_agents.txt file which contains around 900 different agents.
Installation¶
If you wish to use this module as a CLI tool, install it globally via pip:
pip install http-request-randomizer
Otherwise, you can clone the repository and use setup tools:
python setup.py install
Dev testing¶
Clone repo, install requirements, develop and run tests:
pip install -r requirements.txt
tox -e pyDevVerbose
How to use¶
Command-line interface¶
Assuming that you have http-request-randomizer installed, you can use the commands below:
show help message:
proxyList -h, --help
specify proxy provider(s) (required):
-s {proxyforeu,rebro,samair,freeproxy,all}
Specify output stream (default: sys.stdout), could also be a file:
-o, --outfile
specify provider timeout threshold in seconds:
-t, --timeout
specify proxy bandwidth threshold in KBs:
-bw, --bandwidth
show program’s version number:
-v, --version
API¶
To use http-request-randomizer as a library, include it in your requirements.txt file. Then you can simply generate a proxied request using a method call:
import logging
import time
from http_request_randomizer.requests.proxy.requestProxy import RequestProxy
if __name__ == '__main__':
start = time.time()
req_proxy = RequestProxy(log_level=logging.ERROR)
print("Initialization took: {0} sec".format((time.time() - start)))
print("Size: {0}".format(len(req_proxy.get_proxy_list())))
print("ALL = {0} ".format(list(map(lambda x: x.get_address(), req_proxy.get_proxy_list()))))
test_url = 'http://ipv4.icanhazip.com'
while True:
start = time.time()
request = req_proxy.generate_proxied_request(test_url)
print("Proxied Request Took: {0} sec => Status: {1}".format((time.time() - start), request.__str__()))
if request is not None:
print("\t Response: ip={0}".format(u''.join(request.text).encode('utf-8')))
print("Proxy List Size: {0}".format(len(req_proxy.get_proxy_list())))
print("-> Going to sleep..")
time.sleep(10)
Changing log levels¶
The RequestProxy
constructor accepts an optional parameter of
log_level
that can be used to change the level of logging. By
default, this is equal to 0, or NOTSET. The python logging levels are
documented
here.
You can either use integers or their equivalent constant in the logging
module. (e.g. logging.DEBUG
, logging.ERROR
, etc)
Documentation¶
Contributing¶
Many thanks to the open-source community for contributing to this project!
Feels like a feature is missing?¶
Feel free to open a ticket! PRs are always welcome!
License¶
This project is licensed under the terms of the MIT license.