PythonHub

Detecting Natural Disasters with Keras and Deep Learning In this tutorial, you will learn how to automatically detect natural disasters ... https://www.pyimagesearch.com/2019/11/11/detecting-natural-disasters-with-keras-and-deep-learning/

Becoming a Self-Taught Data Scientist What to do when college degree in data science just isn’t an… https://towardsdatascience.com/becoming-a-self-taught-data-scientist-5563f546bb7b

How to Write Python Command-Line Interfaces like a Pro https://towardsdatascience.com/how-to-write-python-command-line-interfaces-like-a-pro-f782450caf0d

Machine Learning and Data Analysis — Inha University (Part-2) https://towardsdatascience.com/machine-learning-and-data-analysis-inha-university-part-2-3fb599732021

euske / pdfminer Python PDF Parser https://github.com/euske/pdfminer

Streamlit- Deploy a Machine Learning Model without learning any web framework. Super awesome Streamlit… https://towardsdatascience.com/streamlit-deploy-a-machine-learning-model-without-learning-any-web-framework-e8fb86079c61

Unpacking the Quantum Supremacy Benchmark with Python https://medium.com/@sohaib.alam/unpacking-the-quantum-supremacy-benchmark-with-python-67a46709d

Reduce Memory Usage and Make Your Python Code Faster Using Generators A hands on guide to create… https://towardsdatascience.com/reduce-memory-usage-and-make-your-python-code-faster-using-generators-bd79dbfeb4c

When your data doesn't fit in memory: the basic techniques You’re writing software that processes data, and it works fine when you test it on a small ... https://pythonspeed.com/articles/data-doesnt-fit-in-memory/

Step-by-Step Signal Processing with Machine Learning: PCA, ICA, NMF for source separation, dimensionality reduction https://towardsdatascience.com/step-by-step-signal-processing-with-machine-learning-pca-ica-nmf-8de2f375c422

I made c++-style printing in Python :P https://www.reddit.com/r/Python/comments/duyjs7/i_made_cstyle_printing_in_python_p/

Ieddit – A Python-based, minimalist, Reddit-like with anonymous posts/comments. 100% open source, non-monetized, officially in beta as of a few hours ago :) https://www.reddit.com/r/Python/comments/dl21cy/ieddit_a_pythonbased_minimalist_redditlike_with/

Book Review: Machine Learning Pocket Reference Introduction This article is a review of O’Reilly’s Machine Learning Pocket Reference by Matt ... https://pbpython.com/ml-pocket-ref-review.html

Argento - made with numpy and PIL https://www.reddit.com/r/Python/comments/dndpxb/argento_made_with_numpy_and_pil/

The 17 Best Free Tools for Data Science Make sure you're not missing any of the best free tools for data science work, including the top R ... https://www.dataquest.io/blog/best-free-tools-data-science/

Workflow Tools for ML Pipelines Chapter 5 excerpt of “Data Science in Production” https://towardsdatascience.com/workflow-tools-for-model-pipelines-45030a93e9e0

Linzaer / Ultra-Light-Fast-Generic-Face-Detector-1MB 💎1MB lightweight face detection model (1MB轻量级人脸检测模型) https://github.com/Linzaer/Ultra-Light-Fast-Generic-Face-Detector-1MB

Flappy Bird (Crappy Bird) using Python & ncurses! https://www.reddit.com/r/Python/comments/dud7k3/flappy_bird_crappy_bird_using_python_ncurses/

Pandas’ groupby explained in detail Learn how to master all… https://towardsdatascience.com/pandas-groupby-aggregate-transform-filter-c95ba3444bbb

Data Visualization — Which graphs should I use? (Seaborn Examples) A Simple Guide on How to Visualize… https://towardsdatascience.com/data-visualization-which-graphs-should-i-use-55e214ee9cf1