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Human-curated Python news, projects, articles & tools. https://pythonhub.dev/

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21 Places to Find Free Datasets for Data Science Projects If you’ve ever worked on a personal data science project, you’ve probably spent a lot ... https://www.dataquest.io/blog/free-datasets-for-projects/

Build a fully production ready machine learning app with Python Django, React and Docker https://towardsdatascience.com/build
Build a fully production ready machine learning app with Python Django, React and Docker https://towardsdatascience.com/build-a-fully-production-ready-machine-learning-app-with-python-django-react-and-docker-c4d938c251e5

Python Data Model Part — 1(Objects, Types, and Values) The de-facto of Python language https://towardsdatascience.com/python-
Python Data Model Part — 1(Objects, Types, and Values) The de-facto of Python language https://towardsdatascience.com/python-data-model-part-1-objects-types-and-values-cb9316f57e8

Image Generation in 10 Minutes with Generative Adversarial Networks Using Unsupervised Deep Learning… https://towardsdatascie
Image Generation in 10 Minutes with Generative Adversarial Networks Using Unsupervised Deep Learning… https://towardsdatascience.com/image-generation-in-10-minutes-with-generative-adversarial-networks-c2afc56bfa3b

Sync vs. Async Python: What is the Difference? Have you heard people say that async Python code is faster than "normal" (or sync) Python code? How ... http://blog.miguelgrinberg.com/post/sync-vs-async-python-what-is-the-difference

Introducing PyTorch Forecasting Forecasting with neural networks made simple https://towardsdatascience.com/introducing-pytor
Introducing PyTorch Forecasting Forecasting with neural networks made simple https://towardsdatascience.com/introducing-pytorch-forecasting-64de99b9ef46

I made an object tracker using frame-differencing for motion detectors https://www.reddit.com/r/madeinpython/comments/ii2mcr/
I made an object tracker using frame-differencing for motion detectors https://www.reddit.com/r/madeinpython/comments/ii2mcr/i_made_an_object_tracker_using_framedifferencing/

How to use tf.function to speed up Python code in Tensorflow tf.function is a decorator function provided by Tensorflow 2.0 that converts regular python code to ... https://www.machinelearningplus.com/deep-learning/how-use-tf-function-to-speed-up-python-code-tensorflow/

Lambda Function in Python – How and When to use? Lambda Function, also referred to as ‘Anonymous function’ is same as a regular python function but ... https://www.machinelearningplus.com/python/lambda-function/

5 Smooth Syntactical Tricks For Python Make your code more concise and faster by using these… https://towardsdatascience.com/
5 Smooth Syntactical Tricks For Python Make your code more concise and faster by using these… https://towardsdatascience.com/5-smooth-syntactical-tricks-for-python-61cd69663cc9

My Favorite Python Servers To Deploy Into Production Spice-up your deploy-ability by exploring… https://towardsdatascience.co
My Favorite Python Servers To Deploy Into Production Spice-up your deploy-ability by exploring… https://towardsdatascience.com/my-favorite-python-servers-to-deploy-into-production-d92289764fbe

Winning Solution of RecSys2020 Challenge: GPU Accelerated Feature Engineering and Training for https://medium.com/rapids-ai/w
Winning Solution of RecSys2020 Challenge: GPU Accelerated Feature Engineering and Training for https://medium.com/rapids-ai/winning-solution-of-recsys2020-challenge-gpu-accelerated-feature-engineering-and-training-for-cd67c5a87b1f

Logistic Regression: The Math and The Code A Deep Down look into Logistic Regression, the basic… https://medium.com/adg-vit/l
Logistic Regression: The Math and The Code A Deep Down look into Logistic Regression, the basic… https://medium.com/adg-vit/logistic-regression-the-math-and-the-code-291077530d77