Issue #1

Let there be light.

Feb. 17, 2012

pip install -r requirements.txt

https://pycoders.com/issues/1

Scripting Languages I: Node.js, Python, PHP, Ruby

https://hyperpolyglot.org/scripting

python -V
python --version

import os, re, sys

python -c 'print("hi!")'

# comment

'''comment line
another line'''

from math import exp, log, \

sin, cos, tan, asin, acos, atan, atan2

import random

random.randint(0, 99)
random.random()
random.gauss(0, 1)

random.seed(17)
seed = random.getstate()
random.setstate(seed)

The Community
o BDFL
o Python Software Foundation
o PEPs
o Python Conferences
o Python User Groups
o Online Communities
o Python Job Boards
 Learning Python
o Beginner
o Intermediate
o Advanced
o For Engineers and Scientists
o Miscellaneous Topics
o References
 Documentation
o Official Documentation
o Read the Docs
o pydoc
 News
o PyCoder’s Weekly
o Real Python
o Planet Python
o /r/python
o Talk Python Podcast
o Python Bytes Podcast
o Python Weekly
o Python News
o Import Python Weekly
o Awesome Python Newsletter

 Scientific Applications
o Context
o Tools
o Libraries
o Resources
 Image Manipulation
o Python Imaging Library
o Open Source Computer Vision


Machine Learning
o SciPy Stack
o scikit-learn

 Publishing Your Code

o Creating a Project Repo on GitHub
o When Your Project Grows
 Packaging Your Code
o Alternatives to Packaging
o For Python Developers
o For Linux Distributions
 Freezing Your Code
o Alternatives to Freezing
o Comparison of Freezing Tools
o Windows
o OS X
o Linux

https://docs.python.org/release/3.1.5/howto/index.html
https://pythonbooks.revolunet.com/
https://www.youtube.com/playlist?list=PL0DA14EB3618A3507&feature=plcp

Flask Tutorial

http://www.pythontutor.com/visualize.html#mode=edit
https://github.com/pimutils/khal
https://sahandsaba.com/thirty-python-language-features-and-tricks-you-may-
not-know.html
Machine learning and Data Mining -
Association Analysis with Python
FRIDAY, JANUARY 11, 2013

http://aimotion.blogspot.com/2013/01/machine-learning-and-data-mining.html
https://gist.github.com/marcelcaraciolo/1423287

MARCH 7, 2014 BY GARY

Generating Machine Learning Models with

Scikit-Learn
http://www.garysieling.com/blog/generating-machine-learning-models-scikit-
learn/

MACHINE LEARNING
Applying deep learning and a RBM to MNIST using Python
by Adrian Rosebrock on  June 23, 2014
http://www.pyimagesearch.com/2014/06/23/applying-deep-learning-rbm-mnist-
using-python/

josephmisiti/awesome-machine-learning
https://github.com/josephmisiti/awesome-machine-learning
Music theory implemented in Python. Notes, intervals, scales and chords.

https://github.com/gciruelos/musthe

Build a Flask App in 30 Minutes

https://stormpath.com/blog/build-a-flask-app-in-30-minutes

Math evolution and dirty tricks

http://multigrad.blogspot.com/2014/04/math-evolution-and-dirty-tricks.html

https://jeffknupp.com/blog/2014/02/04/starting-a-python-project-the-right-way/

https://www.datarobot.com/blog/introduction-to-python-for-statistical-learning/

Buggy Python Code: The 10 Most Common Mistakes That Python Developers
Make
https://www.toptal.com/python/top-10-mistakes-that-python-programmers-
make
DrSkippy/Data-Science-45min-Intros
https://github.com/DrSkippy/Data-Science-45min-Intros

Everything I know about Python...

https://www.jeffknupp.com/blog/2014/06/18/improve-your-python-python-
classes-and-object-oriented-programming/

rasbt/matplotlib-gallery
https://github.com/rasbt/matplotlib-gallery

miha-stopar/nnets
https://github.com/miha-stopar/nnets

An exploratory statistical analysis of the 2014 World Cup Final

https://nbviewer.jupyter.org/github/rjtavares/football-
crunching/blob/master/notebooks/an%20exploratory%20data%20analysis%20of
%20the%20world%20cup%20final.ipynb
Data Science With Python: Part 1
 Jul 30, 2014
http://beckerfuffle.com/blog/2014/07/30/data-science-with-python-part-1/

Keeps your secret things

https://github.com/halit/doorman

Python for Programmers

 AUG 5, 2014
http://rustyrazorblade.com/post/2014/2014-08-05-python-intro/

Cheat Sheet: Writing Python 2-3 compatible code

http://python-future.org/compatible_idioms.html

Launcher for Windows, an alternative to Alfred and Launchy.

https://github.com/Wox-launcher/Wox
September 4, 2014
Quantum Mechanics with the Python
https://helentronica.com/2014/09/04/quantum-mechanics-with-the-python/

Simple Interactive Data Analysis with Python

https://pbpython.com/simple-data-analysis.html

A modern guide to getting started with Data Science and Python

https://twiecki.io/blog/2014/11/18/python-for-data-science/

Python Tutorial: Comprehensions Jonathan Lettvin

https://www.airpair.com/python/posts/python-comprehension-syntax

Top 10 Python idioms I wish I'd learned earlier

http://prooffreaderplus.blogspot.com/2014/11/top-10-python-idioms-i-wished-
id.html
How to quickly turn an IPython notebook into a blog post
http://prooffreaderplus.blogspot.com/2014/11/how-to-quickly-turn-ipython-
notebook.html

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural

Networks that describe images with sentences.
https://github.com/karpathy/neuraltalk

The Top Mistakes Developers Make When Using Python for Big Data Analytics
https://www.airpair.com/python/posts/top-mistakes-python-big-data-analytics

14 Best Python Pandas Features

http://www.bigdataexaminer.com/2015/03/23/14-best-python-pandas-features/

Deep learning in Python

https://github.com/andersbll/deeppy
Ipython notebook presentations for getting starting with basic programming,
statistics and machine learning techniques
https://github.com/DrSkippy/Data-Science-45min-Intros

A curated list of awesome Machine Learning frameworks, libraries and software.

https://github.com/josephmisiti/awesome-machine-learning

MARCH 7, 2014 BY GARY
Generating Machine Learning Models with Scikit-Learn
http://www.garysieling.com/blog/generating-machine-learning-models-scikit-
learn/

7 Python Regular Expressions Examples – Re Match Search FindAll

https://www.thegeekstuff.com/2014/07/python-regex-examples/

Python Tips and Traps

https://www.airpair.com/python/posts/python-tips-and-traps

6 Python Performance Tips

https://blog.newrelic.com/engineering/python-performance-tips/

The scope of index variables in Python's for loops

https://eli.thegreenplace.net/2015/the-scope-of-index-variables-in-pythons-for-
loops/
Tips Tricks
https://codefisher.org/catch/blog/2015/01/27/python-tips-tricks-and-idioms/

Linear Regression Implementation in Python

https://dataaspirant.wordpress.com/2014/12/20/linear-regression-
implementation-in-python/

LINEAR REGRESSION IMPLEMENTATION IN PYTHON

 DATAASPIRANT · FEBRUARY 12, 2015

https://dataconomy.com/2015/02/linear-regression-implementation-in-python/

A friendly introduction to linear regression (using Python)

https://www.dataschool.io/linear-regression-in-python/

Practical Data Science in Python

https://radimrehurek.com/data_science_python/
Python: Getting Started with Data Analysis
https://alstatr.blogspot.com/2015/02/python-getting-started-with-data.html

Creating PDF Reports with Pandas, Jinja and WeasyPrint

https://pbpython.com/pdf-reports.html

Introduction to Machine Learning with Python and Scikit-Learn

https://kukuruku.co/post/introduction-to-machine-learning-with-python-
andscikit-learn/

Deep Learning for humans Keras

https://github.com/keras-team/keras

A simple example of Python OOP development (with TDD) - Part 1

https://www.thedigitalcatonline.com/blog/2015/05/13/python-oop-tdd-example-
part1/
Ultimate guide for Data Exploration in Python using NumPy, Matplotlib and
Pandas
SUNIL RAY, APRIL 9, 2015
http://www.analyticsvidhya.com/blog/2015/04/comprehensive-guide-data-
exploration-sas-using-python-numpy-scipy-matplotlib-pandas/

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe,

Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS),
matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command
lines.
https://github.com/donnemartin/data-science-ipython-notebooks

Computational Statistics in Python

http://people.duke.edu/~ccc14/sta-663/index.html

The Traveling Tesla Salesman

https://mortada.net/the-traveling-tesla-salesman.html
Job Salary Prediction with Python
https://nycdatascience.com/blog/student-works/job-salary-prediction-with-
python/

A Neural Network in 11 lines of Python (Part 1)

A bare bones neural network implementation to describe the inner workings of
backpropagation.
Posted by iamtrask on July 12, 2015
http://iamtrask.github.io/2015/07/12/basic-python-network/

Data Science with Python & R: Data Frames I

Published Jul 15, 2015Last updated Apr 12, 2017
https://www.codementor.io/@jadianes/python-vs-r-for-data-science-data-
frames-i-du108148i

Readable regular expressions in Python

http://tonysyu.github.io/readable-regular-expressions-in-python.html#.X-
H0cVVKi00
Intermediate Python
https://github.com/yasoob/intermediatePython
https://book.pythontips.com/en/latest/

Neural Artistic Style in Python

https://github.com/andersbll/neural_artistic_style

Introduction to Monte Carlo Tree Search

Mon 07 September 2015 by Jeff Bradberry
http://jeffbradberry.com/posts/2015/09/intro-to-monte-carlo-tree-search/

Hacking the Random Walk Hypothesis

http://www.turingfinance.com/hacking-the-random-walk-hypothesis/

Building Data Products with Python: Using Machine Learning to Provide

Recommendations
https://www.codementor.io/@jadianes/build-data-products-django-machine-
learning-clustering-user-preferences-du107s5mk
Getting started with Python Language
https://pythonpedia.com/

Introduction to Monte Carlo Tree Search

https://www.caktusgroup.com/blog/2015/09/24/introduction-monte-carlo-tree-
search-1/

Data Science for Losers

https://blog.brakmic.com/data-science-for-losers/

Make images look as if they are made out of 1x1 LEGO blocks
https://github.com/JuanPotato/Legofy

Tutorial: Learn Python Programming and Machine Learning

https://www.dataquest.io/blog/machine-learning-python/

Python’s objects and classes — a visual guide

https://lerner.co.il/2015/10/18/pythons-objects-and-classes-a-visual-guide/
Matplotlib styles examples
https://nbviewer.jupyter.org/github/clbarnes/plotstyles/blob/master/plotstyles.i
pynb

The Best Machine Learning Libraries in Python

https://stackabuse.com/the-best-machine-learning-libraries-in-python/

A Python Automated Machine Learning tool that optimizes machine learning

pipelines using genetic programming.
https://github.com/EpistasisLab/tpot

15 Essential Python Interview Questions

https://www.codementor.io/@sheena/essential-python-interview-questions-
du107ozr6

Tutorial: Comparing 7 Tools For Data Visualization in Python

https://www.dataquest.io/blog/python-data-visualization-libraries/
Anyone Can Learn To Code an LSTM-RNN in Python (Part 1: RNN)
Baby steps to your neural network's first memories.
Posted by iamtrask on November 15, 2015
http://iamtrask.github.io/2015/11/15/anyone-can-code-lstm/

Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning
https://github.com/tensorflow/skflow

Deep Convolutional Generative Adversarial Networks

https://github.com/Newmu/dcgan_code

Working with molecular structures in pandas DataFrames

https://github.com/rasbt/biopandas

See sklearn trees with D3

https://planspace.org/20151129-see_sklearn_trees_with_d3/
A general-purpose computer algebra system.
https://github.com/mathics/Mathics

Machine Learning For Complete Beginners

https://www.pythonforengineers.com/machine-learning-for-complete-beginners/

Python for data science: Getting started

https://www.dataquest.io/blog/python-data-science/

The Elements of Python Style

https://github.com/amontalenti/elements-of-python-style

Neural Turing Machines library in Theano with Lasagne

https://github.com/snipsco/ntm-lasagne

machineJS
https://github.com/ClimbsRocks/machineJS
An automated algorithm/library translation for Python, JS, Go, C#, Ruby. Given an
algorithm, it generate the idiomatic code for it in the language of your choice.
https://github.com/pseudo-lang/pseudo

Adventures in Signal Processing with Python

https://www.embeddedrelated.com/showarticle/197.php

Diving Into Other People's Code

https://www.lihaoyi.com/post/DivingIntoOtherPeoplesCode.html

Scientific Python for Raspberry Pi

https://geoffboeing.com/2016/03/scientific-python-raspberry-pi/

Simulate reverse causality using quantum suicide.

https://github.com/karldray/quantum
Python reflection: how to list modules and inspect functions
https://tomassetti.me/python-reflection-how-to-list-modules-and-inspect-
functions/

Functional Programming: Concepts, Idioms and Philosophy

https://hkupty.github.io/2016/Functional-Programming-Concepts-Idioms-and-
Philosophy/

Convert various source codes into pdf file with custom features
https://github.com/tushar-rishav/code2pdf

Deep learning library featuring a higher-level API for TensorFlow.

https://github.com/tflearn/tflearn

Interactive Data Analysis with Python and Excel

https://pbpython.com/xlwings-pandas-excel.html
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
https://github.com/aymericdamien/TensorFlow-Examples

Directory of Python books

https://github.com/Junnplus/awesome-python-books

Easier data analysis in Python with pandas (video series)

https://www.dataschool.io/easier-data-analysis-with-pandas/

common data analysis and machine learning tasks using python

https://github.com/ujjwalkarn/DataSciencePython

Models and examples built with TensorFlow

https://github.com/tensorflow/models
Python implementation of algorithms from Russell And Norvig's "Artificial
Intelligence - A Modern Approach"
https://github.com/aimacode/aima-python

19 Free eBooks to learn programming with Python.

https://medium.mybridge.co/19-free-ebooks-to-learn-programming-with-python-
8f6f0ad4a7f8#.o2r5zcq7h

Train a deep learning net with OpenStreetMap features and satellite imagery.
https://github.com/trailbehind/DeepOSM

scikit-learn model evaluation made easy: plots, tables and markdown reports.
https://github.com/edublancas/sklearn-evaluation

An all-in-one Docker image for deep learning. Contains all the popular DL
frameworks (TensorFlow, Theano, Torch, Caffe, etc.)
https://github.com/floydhub/dl-docker
Tensorflow + Keras + OpenAI Gym implementation of 1-step Q Learning from
"Asynchronous Methods for Deep Reinforcement Learning"
https://github.com/coreylynch/async-rl

Scientific Python Cheatsheet

https://ipgp.github.io/scientific_python_cheat_sheet/

10 Python Data Visualization Libraries for Any Field | Mode

https://mode.com/blog/python-data-visualization-libraries/

Machine Learning is Fun! Part 3: Deep Learning and Convolutional Neural

Networks
https://medium.com/@ageitgey/machine-learning-is-fun-part-3-deep-learning-
and-convolutional-neural-networks-f40359318721

NeuPy is a Tensorflow based python library for prototyping and building neural
networks
https://github.com/itdxer/neupy
This project uses reinforcement learning on stock market and agent tries to learn
trading. The goal is to check if the agent can learn to read tape. The project is
dedicated to hero in life great Jesse Livermore.
https://github.com/deependersingla/deep_trader

Building a Data Science Portfolio: Machine Learning Project

https://www.dataquest.io/blog/data-science-portfolio-machine-learning/

Top pandas, numpy and scipy functions and modules used in github repos
https://kozikow.wordpress.com/2016/07/01/top-pandas-functions-used-in-
github-repos/

Improving your Python workflow with Visual Studio Code

https://bespohk.com/blog/configuring-python-visual-studio-code
Drawing animated GIFs with matplotlib
https://eli.thegreenplace.net/2016/drawing-animated-gifs-with-matplotlib/

Stupid Python Tricks: Abusing Explicit Self

https://medium.com/@hwayne/stupid-python-tricks-abusing-explicit-self-
53d46b72e9e0#.yu3rejs36

Deep Reinforcement Learning for Keras.

https://github.com/keras-rl/keras-rl

VS Code
https://github.com/DonJayamanne/pythonVSCode

Keras code and weights files for popular deep learning models.
https://github.com/fchollet/deep-learning-models
Image Processing with Cellular Neural Networks in Python
https://github.com/ankitaggarwal011/PyCNN

Image Completion with Deep Learning in TensorFlow

https://github.com/bamos/dcgan-completion.tensorflow

Image Completion with Deep Learning in TensorFlow

http://bamos.github.io/2016/08/09/deep-completion/

Image super-resolution through deep learning

https://github.com/david-gpu/srez
Super Resolution for images using deep learning.
https://github.com/alexjc/neural-enhance
Linear regression
https://eli.thegreenplace.net/2016/linear-regression/

Python, Machine Learning, and Language Wars

https://sebastianraschka.com/blog/2015/why-python.html

A TensorFlow implementation of DeepMind's WaveNet paper

https://github.com/ibab/tensorflow-wavenet

Keras implementation of deepmind's wavenet paper

https://github.com/usernaamee/keras-wavenet

AI challenge in 78 lines (top 5%)

https://vks.ai/2016-09-07-ai-challenge-in-78-lines
Machine Learning in a Year
https://medium.com/learning-new-stuff/machine-learning-in-a-year-
cdb0b0ebd29c#.8z60qox6z

An Introduction to Stock Market Data Analysis with Python (Part 2)

https://ntguardian.wordpress.com/2016/09/26/introduction-stock-market-data-
python-2/

TensorFlow in a Nutshell — Part Three: All the Models

https://hackernoon.com/tensorflow-in-a-nutshell-part-three-all-the-models-
be1465993930#.bcir5vxah

Apply audio effects such as reverb and EQ directly to audio files or NumPy
ndarrays.
https://github.com/carlthome/python-audio-effects

NumPy Tutorial: Data Analysis with Python

https://www.dataquest.io/blog/numpy-tutorial-python/
Autoencoder network for learning a continuous representation of molecular
structures.
https://github.com/maxhodak/keras-molecules

Image Processing with Numpy

http://www.degeneratestate.org/posts/2016/Oct/23/image-processing-with-
numpy/

Python Cheat Sheet

https://github.com/crazyguitar/pysheeet

Minimal and clean examples of machine learning algorithms implementations

https://github.com/rushter/MLAlgorithms

Uninstall all the packages!

https://github.com/ParthS007/pip-purge
Kalliope is a framework that will help you to create your own personal assistant.
https://github.com/kalliope-project/kalliope

kalliope demo english

https://www.youtube.com/watch?v=PcLzo4H18S4

Building a Financial Model with Pandas

https://pbpython.com/amortization-model.html

Building a Financial Model with Pandas - Version 2

https://pbpython.com/amortization-model-revised.html

Learning to Learn in TensorFlow

https://github.com/deepmind/learning-to-learn

get things from one computer to another, safely

https://github.com/warner/magic-wormhole
Pynamical is a Python package for modeling and visualizing discrete nonlinear
dynamical systems, chaos, and fractals.
https://github.com/gboeing/pynamical

How to remotely monitor your Raspberry Pi processes and IP addresses

https://github.com/initialstate/pi-process-dashboard

Tensorflow implementation of Human-Level Control through Deep Reinforcement

Learning
https://github.com/devsisters/DQN-tensorflow

An absolute beginner's guide to Machine Learning and Image Classification with

Neural Networks
https://github.com/humphd/have-fun-with-machine-learning

A tour in the wonderland of math with python.

https://github.com/neozhaoliang/pywonderland
Hide screen when boss is approaching.
https://github.com/Hironsan/BossSensor

pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
https://github.com/pytorch/pytorch

pytorch
Tutorial: Deep Learning in PyTorch
https://iamtrask.github.io/2017/01/15/pytorch-tutorial/

Machine learning in Python with scikit-learn

https://www.youtube.com/playlist?list=PL5-
da3qGB5ICeMbQuqbbCOQWcS6OYBr5A

Issue #251 Jan. 26, 2017

Build Your First Python and Django Application
https://scotch.io/tutorials/build-your-first-python-and-django-application

An easy, fast lib to correctly password-protect your data

https://github.com/ofek/privy

Introduction to Hidden Markov Models with Python Networkx and Sklearn

http://www.blackarbs.com/blog/introduction-hidden-markov-models-python-
networkx-sklearn/2/9/2017

Automatic Red Eye Remover using OpenCV (C++ / Python)

https://www.learnopencv.com/automatic-red-eye-remover-using-opencv-cpp-
python/

PyTorch implementation of "Image-to-Image Translation Using Conditional

Adversarial Networks".
https://github.com/mrzhu-cool/pix2pix-pytorch
Understanding Geographical Coordinates
http://www.alanzucconi.com/2017/03/13/understanding-geographical-
coordinates/

Evolution Strategies in PyTorch

https://github.com/atgambardella/pytorch-es

Pandas & Seaborn - A guide to handle & visualize data in Python

https://tryolabs.com/blog/2017/03/16/pandas-seaborn-a-guide-to-handle-
visualize-data-elegantly/

Deep Learning without Backpropagation

Tutorial: DeepMind's Synthetic Gradients
https://iamtrask.github.io/2017/03/21/synthetic-gradients/

Profiling and optimizing your Python code

https://toucantoco.com/en/tech-blog/tech/python-performance-optimization
Try Deep Learning in Python now with a fully pre-configured VM
https://medium.com/@ageitgey/try-deep-learning-in-python-now-with-a-fully-
pre-configured-vm-1d97d4c3e9b

Improve Your Python: Python Classes and Object Oriented Programming

https://jeffknupp.com/blog/2017/03/27/improve-your-python-python-classes-
and-object-oriented-programming/

Pandas-based utility to calculate weighted means, medians, distributions,

standard deviations, and more.
https://github.com/jsvine/weightedcalcs

A neural network trained to help writing neural network code using autocomplete
https://github.com/kootenpv/neural_complete

TensorFlow-based neural network library

https://github.com/deepmind/sonnet
Recursive Neural Networks with PyTorch
https://developer.nvidia.com/blog/recursive-neural-networks-pytorch/

Minimal examples of data structures and algorithms in Python

https://github.com/keon/algorithms

Modifying the Python language in 6 minutes

https://hackernoon.com/modifying-the-python-language-in-7-minutes-
b94b0a99ce14

Monitor Memory usage of Python code

https://github.com/fabianp/memory_profiler

Effectively Using Matplotlib
https://pbpython.com/effective-matplotlib.html

Texting robots on Mars using Python, Flask, NASA APIs and Twilio MMS
https://www.twilio.com/blog/2017/04/texting-robots-on-mars-using-python-
flask-nasa-apis-and-twilio-mms.html#comment-3272124348
Image Processing in Python with Pillow
https://auth0.com/blog/image-processing-in-python-with-pillow/

An interesting display of evolution through neural networks and a genetic

algorithm
https://github.com/MichaelJWelsh/bot-evolution

100 days of algorithms

https://medium.com/100-days-of-algorithms

Genetic neural architecture search with Keras

https://github.com/joeddav/devol

How to Prepare for a Python Coding Interview

https://dbader.org/blog/how-to-prepare-for-a-python-coding-interview
Safe Crime Detection
Homomorphic Encryption and Deep Learning for More Effective, Less Intrusive
Digital Surveillance
https://iamtrask.github.io/2017/06/05/homomorphic-surveillance/

Predicting Football Results With Statistical Modelling

predicts football matches using the Poisson distribution
https://dashee87.github.io/football/python/predicting-football-results-with-
statistical-modelling/

5 ways to make Django Admin safer

https://hackernoon.com/5-ways-to-make-django-admin-safer-eb7753698ac8

Neural network visualization toolkit for keras

https://github.com/raghakot/keras-vis

Library of deep learning models and datasets designed to make deep learning
more accessible and accelerate ML research.
https://github.com/tensorflow/tensor2tensor

A TensorFlow Implementation of the Transformer: Attention Is All You Need

https://github.com/Kyubyong/transformer
Tool that predicts the outcome of a Dota 2 game using Machine Learning
https://github.com/andreiapostoae/dota2-predictor

Organized & Useful Resources about Deep Learning with TensorFlow

https://github.com/astorfi/TensorFlow-World-Resources

Get Started with Matplotlib - Data Visualization for Python

https://kanoki.org/2017/07/09/get-started-with-matplotlib-data-visualization-for-
python/

Implementations of mathematical functions, formulas and concepts

https://github.com/mingrammer/funmath

TensorFlow tutorials and best practices.

https://github.com/vahidk/EffectiveTensorflow
What Does It Take to Be An Expert At Python
https://nbviewer.jupyter.org/github/austin-taylor/code-
vault/blob/master/python_expert_notebook.ipynb

Collection of generative models in Tensorflow

https://github.com/hwalsuklee/tensorflow-generative-model-collections

Deep Learning with TensorFlow in Python: Convolution Neural Nets

https://sandipanweb.wordpress.com/2017/08/03/deep-learning-with-
tensorflow-in-python-2/

Forecasting Time Series data with Prophet – Trend Changepoints

https://pythondata.com/forecasting-time-series-data-prophet-trend-
changepoints/

Learn Blockchains by Building One

https://hackernoon.com/learn-blockchains-by-building-one-117428612f46
Deep Learning From Scratch I: Computational Graphs
https://www.deepideas.net/deep-learning-from-scratch-i-computational-graphs/

Simple PyTorch Tutorials Zero to ALL!

https://github.com/hunkim/PyTorchZeroToAll

Python exercises to practice skills

https://github.com/srigalibe/pynotes

TensorFlow: Save and Restore Models

https://stackabuse.com/tensorflow-save-and-restore-models/

MACHINE LEARNING WITH PYTHON – INTRODUCTION

https://devarea.com/machine-learning-with-python-introduction/#.X-NKM1VKi00

Your Next Technical Interview Should be Solved with Python

https://aryaboudaie.com/interviews/python/technical/2017/11/06/python-for-
interviews.html
Analyzing 1000+ Greek Wines With Python
https://tselai.com/greek-wines-analysis.html

Python programs, usually short, of considerable difficulty, to perfect particular

skills.
https://github.com/norvig/pytudes

Implementing a Neural Network from Scratch in Python – An Introduction

https://www.datasciencecentral.com/profiles/blogs/implementing-a-neural-
network-from-scratch-in-python-an

Image restoration with neural networks but without learning.

https://github.com/DmitryUlyanov/deep-image-prior

Monte Carlo Simulation with Categorical Values

https://www.samueltaylor.org/articles/monte-carlo-categorical.html
PYTHON – REGULAR EXPRESSIONS PRACTICAL GUIDE
https://devarea.com/python-regular-expressions-practical-guide/#.X-NNXFVKi00

Keras and deep learning on the Raspberry Pi

https://www.pyimagesearch.com/2017/12/18/keras-deep-learning-raspberry-pi/

Organize your finances easily - from the command line!

https://github.com/pylipp/financeager

A cron-like utility for Python

https://github.com/robdmc/crontabs

Use cron to rotate files and keep time-spaced copies using symlinks
https://github.com/Kraymer/cronicle

How pickle works in Python

https://rushter.com/blog/pickle-serialization-internals/
Understanding internals of Python classes
https://rushter.com/blog/python-class-internals/

Solving the Traveling Salesman Problem using Self-Organizing Maps

https://github.com/DiegoVicen/som-tsp

How to build your own AlphaZero AI using Python and Keras

https://medium.com/applied-data-science/how-to-build-your-own-alphazero-ai-
using-python-and-keras-7f664945c188

Object-Oriented Programming (OOP) in Python 3

https://realpython.com/python3-object-oriented-programming/

How I Shipped a Neural Network on iOS with CoreML, PyTorch, and React Native
https://attardi.org/pytorch-and-coreml/
Short Python code snippets for all your development needs
https://github.com/30-seconds/30-seconds-of-python

15 minute (small) desktop apps built with PyQt

https://github.com/learnpyqt/15-minute-apps

Django Admin Cookbook

https://books.agiliq.com/projects/django-admin-cookbook/en/latest/

Web application from scratch, Part I

https://defn.io/2018/02/25/web-app-from-scratch-01/

5 Quick and Easy Data Visualizations in Python with Code

https://towardsdatascience.com/5-quick-and-easy-data-visualizations-in-python-
with-code-a2284bae952f

Machine Learning for Diabetes with Python

https://datascienceplus.com/machine-learning-for-diabetes-with-python/

Overview of Pandas Data Types

https://pbpython.com/pandas_dtypes.html
Turn a MacBook into a Touchscreen with $1 of Hardware
https://github.com/bijection/sistine

A flexible artificial neural network builder to analyse performance, and optimise

the best model.
https://github.com/casparwylie/Perceptron

Transfer files over WiFi between your computer and your smartphone from the
terminal
https://github.com/sdushantha/qr-filetransfer

A Multi-Qubit Ideal Quantum Computer Simulator

https://github.com/adamisntdead/QuSimPy

Implementation of research papers on Deep Learning+ NLP+ CV in Python using

Keras, Tensorflow and Scikit Learn.
https://github.com/GauravBh1010tt/DeepLearn
A Python Crash Course
https://www.grahamwheeler.com/posts/python-crash-course.html

Model summary in PyTorch similar to `model.summary()` in Keras

https://github.com/sksq96/pytorch-summary

Using Python code with a Raspberry-Pi, PIR motion and a Picamera, you can
create a device which will email you a snapshot image when someone enters your
room.
https://github.com/WillPhillipsCVdemo/Raspberry-Pi-Camera-Motion-Detection.

Simple and comprehensive tutorials in TensorFlow

https://github.com/easy-tensorflow/easy-tensorflow

Cross-platform tool for adding locations to the user PATH, no elevated privileges
required!
https://github.com/ofek/userpath

10 common security gotchas in Python and how to avoid them

https://hackernoon.com/10-common-security-gotchas-in-python-and-how-to-
avoid-them-e19fbe265e03
Python Histogram Plotting: NumPy, Matplotlib, Pandas & Seaborn
https://realpython.com/python-histograms/

Extreme Gradient Boosting with Python

https://datascienceplus.com/extreme-gradient-boosting-with-python/

Organized Resources for Deep Learning Researchers and Developers

https://github.com/astorfi/Deep-Learning-Roadmap

Artificial Neural Networks Explained

https://blog.goodaudience.com/artificial-neural-networks-explained-436fcf36e75

Easy hyperparameter optimization and automatic result saving across machine

learning algorithms and libraries
https://github.com/HunterMcGushion/hyperparameter_hunter

Demystifying Convolutional Neural Networks

https://medium.com/@eternalzer0dayx/demystifying-convolutional-neural-
networks-ca17bdc75559
Python Pandas: Tricks & Features You May Not Know
https://realpython.com/python-pandas-tricks/

Preparing for a Python Developer Interview

https://stackabuse.com/preparing-for-a-python-developer-interview/

The Best Python Books

https://realpython.com/best-python-books/

A highly efficient and modular implementation of Gaussian Processes in PyTorch

https://github.com/cornellius-gp/gpytorch

How to build your own Neural Network from scratch in Python

https://towardsdatascience.com/how-to-build-your-own-neural-network-from-
scratch-in-python-68998a08e4f6

My Python Examples
https://github.com/geekcomputers/Python
Data Science with Python in Visual Studio Code
https://devblogs.microsoft.com/python/data-science-with-python-in-visual-
studio-code/

Top 50 matplotlib Visualizations – The Master Plots (with full python code)
https://www.machinelearningplus.com/plots/top-50-matplotlib-visualizations-
the-master-plots-python/

Python in Visual Studio Code – December 2018 Release

https://devblogs.microsoft.com/python/python-in-visual-studio-code-december-
2018-release/

Python Pandas: Tricks & Features You May Not Know

https://realpython.com/python-pandas-tricks/

An A-Z of useful Python tricks

https://www.freecodecamp.org/news/an-a-z-of-useful-python-tricks-
b467524ee747/
Learn Python from Top 50 Articles for the Past Year (v.2019)
https://medium.mybridge.co/learn-python-from-top-50-articles-for-the-past-
year-v-2019-3225f4643d9c

Machine Learning in Python

https://www.pyimagesearch.com/2019/01/14/machine-learning-in-python/

Automated Machine Learning in Python

https://heartbeat.fritz.ai/automated-machine-learning-in-python-5d7ddcf6bb9e

Regression with Keras

https://www.pyimagesearch.com/2019/01/21/regression-with-keras/

Python Development in Visual Studio Code

https://realpython.com/python-development-visual-studio-code/
Practical Machine Learning with Python and Keras
https://www.kite.com/blog/python/python-machine-learning-keras/

A Neural Network framework in 25 LOC

https://gist.github.com/macournoyer/620a8ba4a2ecd6d6feaf

How to Run Your Python Scripts

https://realpython.com/run-python-scripts/

Monte Carlo Simulation with Python

https://pbpython.com/monte-carlo.html

Python in Visual Studio Code – February 2019 Release

https://devblogs.microsoft.com/python/python-in-visual-studio-code-february-
2019-release/
Python Security Best Practices Cheat Sheet
https://snyk.io/blog/python-security-best-practices-cheat-sheet/

Machine Learning for Beginners: An Introduction to Neural Networks

https://victorzhou.com/blog/intro-to-neural-networks/

10 Python image manipulation tools

https://opensource.com/article/19/3/python-image-manipulation-tools

Intro to Object-Oriented Programming (OOP) in Python

https://realpython.com/courses/intro-object-oriented-programming-oop-python/

Six easy ways to run your Jupyter Notebook in the cloud

https://www.dataschool.io/cloud-services-for-jupyter-notebook/

Linear Regression in Python

https://realpython.com/linear-regression-in-python/
Buggy Python Code: The 10 Most Common Mistakes That Python Developers
Make
https://www.toptal.com/python/top-10-mistakes-that-python-programmers-
make

Machine Learning Course with Python:

https://github.com/instillai/machine-learning-course

CNNs, Part 1: An Introduction to Convolutional Neural Networks

https://victorzhou.com/blog/intro-to-cnns-part-1/

CNNs, Part 2: Training a Convolutional Neural Network

https://victorzhou.com/blog/intro-to-cnns-part-2/

Object-Oriented Programming in Python vs Java

https://realpython.com/oop-in-python-vs-java/
Accuracy: from classification to clustering evaluation
https://smorbieu.gitlab.io/accuracy-from-classification-to-clustering-evaluation/

Dataclasses and attrs: when and why

https://www.revsys.com/tidbits/dataclasses-and-attrs-when-and-why/

Debugging, monitoring and visualization for Python Machine Learning and Data
Science
https://github.com/microsoft/tensorwatch

Bonus materials, exercises, and example projects for our Python tutorials
https://github.com/realpython/materials

OOP Method Types in Python: @classmethod vs @staticmethod vs Instance

Methods
https://realpython.com/courses/python-method-types/

pip3 list pip list

Multiple Linear Regression with Python
https://stackabuse.com/multiple-linear-regression-with-python/

ARIMA Model – Complete Guide to Time Series Forecasting in Python

https://www.machinelearningplus.com/time-series/arima-model-time-series-
forecasting-python/

Generating Random Data in Python

https://realpython.com/courses/generating-random-data-python/

Building Standalone Python Applications with PyOxidizer

https://gregoryszorc.com/blog/2019/06/24/building-standalone-python-
applications-with-pyoxidizer/

Basic Input, Output, and String Formatting in Python

https://realpython.com/python-input-output/

10 Simple hacks to speed up your Data Analysis in Python

https://towardsdatascience.com/10-simple-hacks-to-speed-up-your-data-
analysis-in-python-ec18c6396e6b
Clone a voice in 5 seconds to generate arbitrary speech in real-time
https://github.com/CorentinJ/Real-Time-Voice-Cloning
https://www.youtube.com/watch?v=-O_hYhToKoA

SymPy makes math fun again

https://wordsandbuttons.online/sympy_makes_math_fun_again.html

A Visual Intro to NumPy and Data Representation

https://jalammar.github.io/visual-numpy/

How to Make a Smart Baby Monitor with Python, Raspberry Pi, Twilio SMS, and
Peripheral Sensors
https://www.twilio.com/blog/smart-baby-monitor-python-raspberry-pi-twilio-
sms-peripheral-sensors

Remote development on the Raspberry Pi (or Amazon EC2)

https://www.pyimagesearch.com/2019/07/01/remote-development-on-the-
raspberry-pi-or-amazon-ec2/
5 common mistakes made by beginner python programmers
https://pythoncircle.com/post/602/5-common-mistakes-made-by-beginner-
python-programmers/

Welcome to PyMathProg
http://pymprog.sourceforge.net/

Reading and Writing Files in Python

https://realpython.com/courses/reading-and-writing-files-python/

Write More Pythonic Code

https://realpython.com/learning-paths/writing-pythonic-code/

Python Object Oriented Programming Examples

https://www.pythonprogramming.in/object-oriented-programming.html

Tips and tricks from my Telegram-channel @pythonetc, June 2019

https://habr.com/en/company/mailru/blog/458688/
marc is a small, but flexible Markov chain generator
https://github.com/maxhumber/marc

Spiking Neural Network (SNN) with PyTorch: towards bridging the gap between
deep learning and the human brain
https://guillaume-chevalier.com/spiking-neural-network-snn-with-pytorch-
where-backpropagation-engenders-stdp-hebbian-learning/

Common beginner mistakes in Python

https://deepsource.io/blog/python-common-mistakes/

Neural Networks From Scratch

https://victorzhou.com/series/neural-networks-from-scratch/

The 35 Words You Need to Python

https://yawpitchroll.com/posts/the-35-words-you-need-to-python/
Cyclical Learning Rates with Keras and Deep Learning
https://www.pyimagesearch.com/2019/07/29/cyclical-learning-rates-with-keras-
and-deep-learning/

Tracking the ISS: Part 0 - Prerequisites

https://danielcohen.dev/science/iss/2019/07/28/tracking-the-iss-part-0-
prerequisites.html

Exploring Mathematics with Matplotlib and Python

https://programmingzen.com/exploring-mathematics-with-matplotlib-and-
python/

11 Beginner Tips for Learning Python

https://realpython.com/courses/python-beginner-tips/

Image Classification with Transfer Learning and PyTorch

https://stackabuse.com/image-classification-with-transfer-learning-and-pytorch/

Implementing a Photo Stylizer in Python using a QuadTree Algorithm

https://www.codingwithricky.com/2019/08/03/1-quadtree-photo-stylizer-
python/
A Simple Explanation of the Softmax Function
https://victorzhou.com/blog/softmax/

Understanding Decision Trees for Classification (Python)

https://towardsdatascience.com/understanding-decision-trees-for-classification-
python-9663d683c952

Keras for Beginners: Implementing a Convolutional Neural Network

https://victorzhou.com/blog/keras-cnn-tutorial/

Python Libraries for Interpretable Machine Learning

https://towardsdatascience.com/python-libraries-for-interpretable-machine-
learning-c476a08ed2c7

Testing Scientific Code - How to Get Away with Bad Code

http://pljung.de/posts/testing-scientific-code/

LEGO® MINDSTORMS® Education EV3

https://education.lego.com/en-us/product-resources/mindstorms-ev3/teacher-
resources/python-for-ev3
Business Machine Learning and Data Science Applications
https://github.com/firmai/business-machine-learning/blob/master/README.md

101 Machine Learning Algorithms for Data Science

https://blog.datasciencedojo.com/machine-learning-algorithms/

Module that determines a host's cloud provider.

https://github.com/dgzlopes/cloud-detect

MATLAB vs Python: Why and How to Make the Switch

https://realpython.com/matlab-vs-python/

100 pandas tricks to save you time and energy

https://www.dataschool.io/python-pandas-tips-and-tricks/

Titles
http://blog.rtwilson.com/matplotlib-titles-have-configurable-locations-and-you-
can-have-more-than-one-at-once/
Learn Functional Python in 10 Minutes
https://skerritt.blog/learn-functional-python-in-10-minutes/

How to use iloc and loc for Indexing and Slicing Pandas Dataframes
https://www.marsja.se/how-to-use-iloc-and-loc-for-indexing-and-slicing-pandas-
dataframes/

ML From Scratch, Part 6: Principal Component Analysis

http://www.oranlooney.com/post/ml-from-scratch-part-6-pca/

Simplex
https://opensourc.es/blog/simplex/

Easily hiding items from the legend in matplotlib

http://blog.rtwilson.com/easily-hiding-items-from-the-legend-in-matplotlib/

Announcing Support for Native Editing of Jupyter Notebooks in VS Code

https://devblogs.microsoft.com/python/announcing-support-for-native-editing-
of-jupyter-notebooks-in-vs-code/
Python sleep(): How to Add Time Delays to Your Code
https://realpython.com/python-sleep/

Flying high with Vaex: analysis of over 30 years of flight data in Python
https://towardsdatascience.com/https-medium-com-jovan-veljanoski-flying-high-
with-vaex-analysis-of-over-30-years-of-flight-data-in-python-b224825a6d56

Python Plotting With Matplotlib

https://realpython.com/courses/python-plotting-matplotlib/

Divide and Conquer Algorithms with Python Examples

https://skerritt.blog/divide-and-conquer-algorithms/

3 ways to create a Keras model with TensorFlow 2.0 (Sequential, Functional, and
Model Subclassing)
https://www.pyimagesearch.com/2019/10/28/3-ways-to-create-a-keras-model-
with-tensorflow-2-0-sequential-functional-and-model-subclassing/

Traffic Sign Classification with Keras and Deep Learning

https://www.pyimagesearch.com/2019/11/04/traffic-sign-classification-with-
keras-and-deep-learning/
Django Admin Cookbook
https://books.agiliq.com/projects/django-admin-cookbook/en/latest/

Thinking Recursively in Python

https://realpython.com/courses/thinking-recursively-python/

Jupyter on your phone (or anywhere, really)

https://thekhan314.github.io/jupyter_on_your_phone_or_anywhere_really

Symbolic Maths in Python

https://alexandrugris.github.io/maths/2017/04/30/symbolic-maths-python.html

A tour in the wonderland of math with python.

https://github.com/neozhaoliang/pywonderland

Python Statistics Fundamentals: How to Describe Your Data

https://realpython.com/python-statistics/
===================================================================
Using Pandas and Python to Explore Your Dataset
https://realpython.com/pandas-python-explore-dataset/

20 best Python questions at stackoverflow in 2019

https://python-weekly.blogspot.com/2020/01/20-best-python-questions-at.html

Karate Club: An API Oriented Open-source Python Framework for Unsupervised

Learning on Graphs (CIKM 2020)
https://github.com/benedekrozemberczki/karateclub

Supercharge Your Classes With Python super()

https://realpython.com/courses/python-super/

Logistic Regression in Python

https://realpython.com/logistic-regression-python/

Python in Visual Studio Code – January 2020 Release

https://devblogs.microsoft.com/python/python-in-visual-studio-code-january-
2020-release/
Effectively Using Matplotlib
https://pbpython.com/effective-matplotlib.html

Scientific Python: Using SciPy for Optimization

https://realpython.com/python-scipy-cluster-optimize/

How To Build A Blockchain In Python (Get Pre-Built Runtime)

https://www.activestate.com/blog/how-to-build-a-blockchain-in-python/?
utm_source=pycoders-weekly&utm_medium=email&utm_content=newsletter-
2020-02-18-blockchain&utm_campaign=as-blog

Python Static Analysis Tools

https://luminousmen.com/post/python-static-analysis-tools

Autoencoders with Keras, TensorFlow, and Deep Learning

https://www.pyimagesearch.com/2020/02/17/autoencoders-with-keras-
tensorflow-and-deep-learning/

Polynomial Regression from Scratch in Python

ML from the Fundamentals (part 1)
https://rickwierenga.com/blog/ml-fundamentals/polynomial-regression.html
Deploying Machine Learning Models – pt. 3: gRPC and TensorFlow Serving
https://rubikscode.net/2020/02/24/deploying-machine-learning-models-pt-3-
grpc-and-tensorflow-serving/

How to use Jupyter Notebooks in 2020 (Part 1: The data science landscape)
https://ljvmiranda921.github.io/notebook/2020/03/06/jupyter-notebooks-in-
2020/

Gradient Descent from scratch

https://philippmuens.com/gradient-descent-from-scratch

Applications of Signal Processing in Machine Learning

https://www.womenwhocode.com/blog/applications-of-signal-processing-in-
machine-learning

Top 10 Python Packages For Machine Learning

https://www.activestate.com/blog/top-10-python-machine-learning-packages/?
utm_source=pycoders-weekly&utm_medium=email&utm_content=newsletter-
2020-03-17-top-10-ML-packages&utm_campaign=as-blog
K-nearest neighbors from scratch
https://philippmuens.com/k-nearest-neighbors-from-scratch
The Python math Module: Everything You Need to Know
https://realpython.com/python-math-module/

Math Symbols Explained with Python

https://amitness.com/2019/08/math-for-programmers/

Machine Learning Applications

22+ Examples Across 4 Industries
https://www.stxnext.com/machine-learning-applications-examples-industries/?
utm_source=pycoders-weekly&utm_medium=email&utm_content=newsletter-
2020-03&utm_campaign=2020-03-pycoders

Neural Network Showdown: TensorFlow Vs PyTorch

https://www.activestate.com/blog/neural-network-showdown-tensorflow-vs-
pytorch/?utm_source=pycoders-
weekly&utm_medium=email&utm_content=newsletter-2020-04-14-neural-
network-showdown&utm_campaign=as-blog
Episode 4: Learning Python Through Errors
https://realpython.com/podcasts/rpp/4/
Combining Data in Pandas With merge(), .join(), and concat()
https://realpython.com/pandas-merge-join-and-concat/

A collection of machine learning examples and tutorials.

https://github.com/lazyprogrammer/machine_learning_examples

Python Coding Interviews: Tips & Best Practices

https://realpython.com/courses/python-coding-interviews-tips-best-practices/

How To Convert .Py To .Exe

https://www.activestate.com/blog/how-to-convert-py-to-exe/?
utm_source=pycoders-weekly&utm_medium=email&utm_content=newsletter-
2020-04-28-convert-py-to-exe&utm_campaign=as-blog

The Python print() Function: Go Beyond the Basics

https://realpython.com/courses/python-print/
Episode 8: Docker + Python for Data Science and Machine Learning
https://realpython.com/podcasts/rpp/8/
Interactive Machine Learning experiments:  models training +  models demo
https://github.com/trekhleb/machine-learning-experiments

Top 10 Python Tools To Make A Developer’s Life Easier

https://www.activestate.com/blog/top-10-python-tools-to-make-your-life-
easier/?utm_source=pycoders-
weekly&utm_medium=email&utm_content=newsletter-2020-05-26-top-10-py-
tool-to-make-your-life-easier&utm_campaign=as-blog

Repository for the EinsteinPy core package

https://github.com/einsteinpy/einsteinpy

Getting machine learning to production

http://veekaybee.github.io/2020/06/09/ml-in-prod/

Never forget your password with this Python encryption algorithm

https://opensource.com/article/20/6/python-passwords
A genetic algorithm toy project for drawing
https://github.com/anopara/genetic-drawing
How To Trick a Neural Network in Python 3
https://www.digitalocean.com/community/tutorials/how-to-trick-a-neural-
network-in-python-3

Deploying and Hosting a Machine Learning Model with FastAPI and Heroku
https://testdriven.io/blog/fastapi-machine-learning/

Object-Oriented Programming (OOP) in Python 3

https://realpython.com/python3-object-oriented-programming/?v2

Darts: Time Series Made Easy in Python

https://medium.com/unit8-machine-learning-publication/darts-time-series-
made-easy-in-python-5ac2947a8878

A beginner’s guide to robot programming with Python

https://thenextweb.com/syndication/2020/07/11/a-beginners-guide-to-robot-
programming-with-python/
Python code for producing your own mathematical art based on weighted voronoi
stippling and the travelling salesman problem!
https://github.com/matthras/tsp-art-python/tree/v1.0.0
Object-Oriented Programming (OOP) in Python 3
https://realpython.com/python3-object-oriented-programming/

Beginner’s Guide To Abstraction

https://jesseduffield.com/beginners-guide-to-abstraction/

Generative Adversarial Networks: Build Your First Models

https://realpython.com/generative-adversarial-networks/

10 Awesome Pythonic One-Liners Explained

https://dev.to/devmount/10-awesome-pythonic-one-liners-explained-3doc

TensorFlow Datasets: The Bad Parts

https://determined.ai/blog/tf-dataset-the-bad-parts/

PyTorch vs TensorFlow for Your Python Deep Learning Project

https://realpython.com/pytorch-vs-tensorflow/
Plot With Pandas: Python Data Visualization for Beginners
https://realpython.com/pandas-plot-python/

Exploring Euler’s Methods for Solving ODEs

https://hassamuddin.com/blog/euler/

Python Practice Problems: Get Ready for Your Next Interview

https://realpython.com/python-practice-problems/

Array programming with NumPy

https://www.nature.com/articles/s41586-020-2649-2

A comprehensive and FREE Online Python Development course FOR KIDS utilizing
an official BBC micro:bit Development Board and later an Expressif ESP32
Development Board going step-by-step into the world of Python for
microcontrollers.
https://github.com/mytechnotalent/Python-For-Kids
Episode 28: Using Pylance to Write Better Python Inside of Visual Studio Code
https://realpython.com/podcasts/rpp/28/
A Python Finance Library that focuses on the pricing and risk-management of
Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
https://github.com/domokane/FinancePy

100+ Python and Data Science Projects for Every Kind of Programmer
https://blog.thecodex.me/100-python-and-data-science-projects-for-every-kind-
of-programmer/

Solving the Equilibrium Index problem in Python

https://johnlekberg.com/blog/2020-10-03-equilibrium-index.html

Check out the new game server:

https://github.com/google-research/football

Qlib is an AI-oriented quantitative investment platform, which aims to realize the

potential, empower the research, and create the value of AI technologies in
quantitative investment. With Qlib, you can easily try your ideas to create better
Quant investment strategies.
https://github.com/microsoft/qlib
Data Management With Python, SQLite, and SQLAlchemy
https://realpython.com/python-sqlite-sqlalchemy/
Exploring fractals on a cloud computer
https://ehmatthes.com/blog/cloud_fractal/

Level Up Your Skills With the Real Python Slack Community

https://realpython.com/community-slack-guide/

Fourier Transforms With scipy.fft: Python Signal Processing

https://realpython.com/python-scipy-fft/

Stories for VSCode

https://github.com/ide-stories/vscode-stories

Distance Metrics for Machine Learning

https://aigents.co/blog/publication/distance-metrics-for-machine-learning
Law of Large Numbers and the Central Limit Theorem (With Python)
https://randomvariable.cc/law-of-large-numbers-central-limit-theorem-python/
Emulating Quantum Computing With Python
https://www.activestate.com/blog/emulating-quantum-computing-with-python/

Introduction to Linear Algebra for Applied Machine Learning with Python

https://pabloinsente.github.io/intro-linear-algebra

73 Examples to Help You Master Python's f-strings

https://miguendes.me/amp/73-examples-to-help-you-master-pythons-f-strings

QuTiP: Quantum Toolbox in Python

https://github.com/qutip/qutip

Episode 36: Sentiment Analysis, Fourier Transforms, and More Python Data
Science
https://realpython.com/podcasts/rpp/36/
Split Your Dataset With scikit-learn's train_test_split()
https://realpython.com/train-test-split-python-data/

A pure-Python Network Packet Sniffing tool

https://github.com/EONRaider/Packet-Sniffer

Making the Printed Links Clickable Using TensorFlow 2 Object Detection API
https://github.com/trekhleb/links-
detector/blob/master/articles/printed_links_detection/printed_links_detection.
md

===================================================================
#452 – DECEMBER 22, 2020

Visualizing the Mandelbrot Set Using Python (< 50 Lines)

https://medium.com/swlh/visualizing-the-mandelbrot-set-using-python-50-lines-
f6aa5a05cf0f

HiPlot makes understanding high dimensional data easy

https://github.com/facebookresearch/hiplot

PsychRNN: Package for Training Recurrent Neural Network Models on Cognitive

Tasks
https://github.com/murraylab/PsychRNN

Medical Image Analysis with Deep Learning — I

https://medium.com/@taposhdr/medical-image-analysis-with-deep-learning-i-
23d518abf531#.efvd4zew9
Deep Learning Toolkit for Medical Image Analysis
https://github.com/DLTK/DLTK

=========================================

@article{bingham2019pyro,
author = {Eli Bingham and
Jonathan P. Chen and
Martin Jankowiak and
Fritz Obermeyer and
Neeraj Pradhan and
Theofanis Karaletsos and
Rohit Singh and
Paul A. Szerlip and
Paul Horsfall and
Noah D. Goodman},
title = {Pyro: Deep Universal Probabilistic Programming},
journal = {J. Mach. Learn. Res.},
volume = {20},
pages = {28:1--28:6},
year = {2019},
url = {http://jmlr.org/papers/v20/18-403.html}
}

===========================================