Using Markdown to Create Responsive HTML Emails
Introduction As part of managing the PB Python newsletter, I wanted to develop a simple way ...
The Python ecosystem is lacking a library with useful geometric types — we…
Write Better Python Code Today
Your fellow programmers will thank you for it.
On Implementing Deep Learning Library from Scratch in Python
A beginner’s guide to understanding the…
Automatic Portfolio Optimization
Extract optimal asset weights for your portfolio using Python
5 Excellent Books to Learn Python in 2020
Take yourself from beginner to expert in a few months.
Alpine makes Python Docker builds 50× slower, and images 2× larger
When you’re choosing a base image for your Docker image, Alpine Linux is often ...
Create An Infographic Using Matplotlib
Temperature patterns of Australian cities in 2019
Pandas Makes Python Better
Something I’ve wanted to talk about for a long time is the strength that…
5 Quick Tips To Manage Your Strings In Python
Master the basics of Python
Interactive basketball data visualizations with Plotly
Analyze sports data with hexbin shot charts and…
How to Evaluate Your Machine Learning Models with Python Code!
Use these methods to ensure that you’ve…
Namespacing in Python
Explores namespaces and how Python uses them to help make code better
Do you speak Python?
A systematic way of learning a new language is to know its words and then create…
How To Compare Two Sets in Python
Take advantage of built-in methods for easy comparisons
Your Data Science Dream Journey Unlocked
Conquer your wildest dream of becoming a Data Scientist
Maximize your Productivity with Python
You create a to-do list to be productive but end up wasting…
Software Developer Trends of 2020 and Beyond
8 important trends we predict over the coming years
Numba: “weapon of mass optimization”
Numba is a Python compiler, specifically for numerical functions…
Having some fun with Python
The other day on a Slack I hang out in, someone posted an amusing line of Python code: port = ...
floodsung / Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
mlflow / mlflow
Open source platform for the machine learning lifecycle
microsoft / cascadia-code
This is a fun, new monospaced font that includes programming ligatures and is designed to enhance the modern look and feel of the Windows Terminal.
tensortrade-org / tensortrade
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
smicallef / spiderfoot
SpiderFoot, the most complete OSINT collection and reconnaissance tool.
mementum / backtrader
Python Backtesting library for trading strategies
toandaominh1997 / EfficientDet.Pytorch
Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch
donnemartin / interactive-coding-challenges
120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
clovaai / CRAFT-pytorch
Official implementation of Character Region Awareness for Text Detection (CRAFT)
ZQPei / deep_sort_pytorch
MOT tracking using deepsort and yolov3 with pytorch
pre-commit / pre-commit
A framework for managing and maintaining multi-language pre-commit hooks.
When I was learning machine learning for the first time, the exact manner in which convolutional neural networks worked always evaded me, largely because they were only ever explained at an introductory level in tutorials. So, I made an animated video explaining exactly how CNNs work. Hope it helps!
Project by Ruslan Keba. Since 2012. Powered by Python. Made in 🇺🇦Ukraine.