Cheat Sheet (link)
An A-Z of useful Python tricks (link)
Type Hints (link)
Resources (link)
RealPython (link)
Python Tutorials (link)
f-string usage (link)
Python f-string Codes (link)
How to Use Python Data Classes (link)
pip install, Use uv Instead
(link)FireDucks (link)
parse (link)
PyGWalker (link)
petl - Extract, Transform and Load (link)
leafmap (link)
graphql-py (link)
pyvis (link)
Folium (link)
GeoPandas (link)
SQLAlchemy (link)
Alchemical (link)
Alchemical, the unknown friend of SQLAlchemy (link)
Psycopg (link)
anosql - A Python library for using SQL (link)
aiosql - Simple SQL in Python (link)
asyncio (link)
Faker (link)
Kafka Python (link)
Diagrams (link)
PyWebIO (link)
Tweepy - Twitter API (link)
leafmap - a Python package for interactive mapping and geospatial analysis (link)
dtreeviz : Decision Tree Visualization - git (link)
ipygany: Jupyter into the third dimension (link)
icecream - Never use print() to debug again (link)
shapely (link)
hana_ml (link)
hdbcli - sap hana lib (link)
mako (link)
python joblib (link)
hdf5
http://docs.h5py.org/en/stable/)
PyCM is a multi-class confusion matrix library (link)
networkx (link)
Magnitude: a fast, simple vector embedding utility library (link)
nltk (link)
nltk book (link)
pil (link)
Top 10 Python libraries to work with geo-spatial data in 2022 (link)
How to render huge GeoJSON datasets on a map (link)
22 Python libraries for Geospatial Data Analysis (link)
Data Preparation for Geospatial Analysis & ML with Laguerre-Voronoi in Python (link)
Visualizing Geographical Data using geoplotlib (link)
Plotting Data Visualisation on the Map of India using GeoPandas in Python (link)
Visualizing Air Pollution with Folium Maps (link)
Let’s make a map! Using Geopandas, Pandas and Matplotlib to make a Choropleth map (link)
OSMnx Features Round-Up (link)
OSMnx: Python for Street Networks (link)
Arbeiten mit Geodaten in Python (link)
Interactive GIS in Jupyter with ipyleaflet (link)
Primer on Python Decorators (link)
Python Metaclasses (link)
Python Type Checking (link)
Classmethods, etc (link)
Pydantic (link)
Protocol Types in Python 3.8 (link)
Mastering Asynchronous Programming in Python: A Comprehensive Guide (link)
A Deep Dive into High Performance HTTP Requests for Python Engineers (link)
Real-time data streaming in Jupyter (link)
Extracting Text from PDF Files with Python: A Comprehensive Guide (link)
FastAPI, SQLAlchemy, and Parallel Queries Walk Into a Bar… (link)
How to Build a Graph Web Application With Python, Flask, Docker & Memgraph (link)
Scalable Real-Time Apps with Python and Redis: Exploring AsyncIO, FastAPI, and Pub/Sub (link)
Python is Ushering in A Huge Change: The Real Multi-Threading is Coming! (link)
Introducing Python’s Parse (link)
Stealth web scraping in Python: Avoid blocking like a ninja (link)
FastAPI — Coroutines and async/await (link) *Args & **Kwargs in Python (link)
async/await in Python: Nebenläufigkeit leicht gemacht (link)
How Python Handles Files (link)
Import Your Own Python Code Without Pythonpath Tricks (link)
Extract Tables from PDF file in a single line of Python Code (link)
Easily Write Interactive Web App using Python (link)
3 Cool Python Libraries (link)
Turn Website Data Into Data Sets (link)
How to visualise the Global Exporting Network using NetworkX and D3 (link)
7 Awesome Jupyter Utilities That You Should Be Aware Of (link)
Scrape Websites like a Python Pro (link)
Image Processing for Python — Adjusting to the Ground Truth (link)
Image Processing with Python — Blob Detection using Scikit-Image (link)
Image Processing with Python — Extracting Image Data for Clustering (link)
Web Scraping in Python using the all-new PyScrappy (link)
Introduction to Image Processing with Python — Image Filtering (link)
A Swiss Knife python package for fast Data Science (link)
A Complete Guide to Web Development in Python (link)
The Next Level of Data Visualization in Python (link)
Introducing Jaal — Interacting with Network Made Easy (link)
How to tame your Python dictionaries with dataclasses, marshmallow and desert (link)
Pythonic Data Structures and Algorithms (link)
26 Useful Python Snippets for Lazy Developers (link)
Python’s Data Classes (link)
Process large datasets without running out of memory (link)
9 Awesome Python packages for Machine Learning that should deserve more credit (link)
Visualizing Networks in Python (link)
Is Pypolars the New Alternative to Pandas? (link)
The Algorithms - Python (link)
Advanced Python: Consider These 10 Elements When You Define Python Functions (link)
Top 10 Python libraries of 2019 (link)
Scipy Lecture Notes (link)
Stop writing lambda expressions in Python (link)
Deploying a Python Web App on AWS (link)
Chartify: Easier chart creation in Python for data scientists (link)
Kite - The smart copilot for programmers (link)
Python Regular Expressions Cheat Sheet (link)
panel - A high-level app and dashboarding solution for Python (link)
Python type annotations (link)
Cool New Features in Python 3.7 (link)
Python 3.7’s new builtin breakpoint — a quick tour (link)
30 Amazing Python Projects for 2017 (link)
2–6x speed-up on your data pre-processing with Python (link)
Statistics with Python (link)
A basic introduction to NumPy’s einsum (link)
einops - git (link)
Tensor Considered Harmful - Named Tensor (link)
reference (link)
home (link)
user guide (link)
indexing (link)
Creating a Dashboard with the Matplotlib Library (link)
home (link)
docs (link)
Pandas Profiling (link)
Introduction to .LOC and .ILOC for Data Enthusiasts (link)
Basic Time Series Manipulation with Pandas (link)
Introduction to Pandas DataFrame.query() function (link)
Statistical Analysis in Python using Pandas (link)
Top 3 Pandas Tricks I Wish I Knew Before (link)
18 Important functions in Pandas (link)