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News & links about Python programming.
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Multiprocessing vs. Threading in Python: What Every Data Scientist Needs to Know

Sooner or later, every data science project faces an inevitable challenge: speed. Working with ...

https://blog.floydhub.com/multiprocessing-vs-threading-in-python-what-every-data-scientist-needs-to-know/
Beating the Dealer with Simple Statistics

Simulating Thousands of Blackjack Card Counting Strategies…

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