Beating the Dealer with Simple Statistics

Simulating Thousands of Blackjack Card Counting Strategies…

https://towardsdatascience.com/beating-the-dealer-with-simple-statistics-71b5e3701638

ShangtongZhang /



reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

https://github.com/ShangtongZhang/reinforcement-learning-an-introduction

Diving deeper into Python print

By Lenin Mishra
I write this blog with an intention of providing a more deeper context and ...

https://www.pylenin.com/blogs/python-print/

encode /



starlette

The little ASGI framework that shines. 🌟

https://github.com/encode/starlette

localstack /



localstack

💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline!

https://github.com/localstack/localstack

Understanding Python's asyncio

by Reuven M. Lerner

How to get ...

https://www.linuxjournal.com/content/understanding-pythons-asyncio

Python List Comprehension in 3 Minutes and 3 Reasons why you should use it

Let´s create our own animal…

https://towardsdatascience.com/python-list-comprehension-in-3-minutes-and-3-reasons-why-you-should-use-it-bf398654caf9

donnemartin /



data-science-ipython-notebooks

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

Dealing with Categorical Data

Categorical data can screw up you ML model if not handled properly.

https://medium.com/machine-learning-eli5/dealing-with-categorical-data-f4c8556cbda0

Setting Up a Flask Application in Visual Studio Code

As a follow up to my Setting Up a Flask Application in PyCharm article, today I'm going to show you ...

http://blog.miguelgrinberg.com/post/setting-up-a-flask-application-in-visual-studio-code

The proper way to use Machine Learning metrics

It’s hard to select the right measure of accuracy for a…

https://towardsdatascience.com/the-proper-way-to-use-machine-learning-metrics-4803247a2578

Contributing to PyTorch by Someone Who Doesn’t Know a Lot About PyTorch

PyTorch is Facebook’s deep…

https://medium.com/better-programming/committing-to-pytorch-by-someone-who-doesnt-know-a-ton-about-pytorch-fa222253cf2d

twintproject /



twint

An advanced Twitter scraping & OSINT tool written in Python that doesn't use Twitter's API, allowing you to scrape a user's followers, following, Tweets and more while evading most API limitations.

https://github.com/twintproject/twint

Django 3.0 alpha 1 released

Django 3.0 alpha 1 is now available. It represents the first stage in the 3.0 release cycle and is ...

https://www.djangoproject.com/weblog/2019/sep/10/django-30-alpha-1-released/