A Guide to Association Rule Mining
Create insights from frequent patterns using market basket analysis with Python
python
Finding Patterns in Convenience Store Locations with Geospatial Association
Understanding spatial trends in the location of Tokyo convenience stores
Announcing PyCaret 3.0: Open-source, Low-code Machine Learning in Python
Exploring the Latest Enhancements and Features of PyCaret 3.0
Exploring the Power of Decorators in Python: A Comprehensive Guide
Introduction If you're a Python developer looking to take your code to the next level,...
Configuring the spyrograph trace method to explore stunning geometric visua
DISCLAIMER: This blog post was written by a human with the help of AI Hypotrochoids and epitrochoids...
Table of contents — voila 0.5.0a0 documentation
voila · PyPI
Voilà turns Jupyter notebooks into standalone web applications
Learn How to Test Flask Applications with Pytest
Welcome to this tutorial on how to test Flask applications with Pytest. Flask is a popular web...
3 Unique Charts You Wouldn’t Think Were Created with Matplotlib
Utilising Python’s Matplotlib to Create Advanced Data Visualisations
Python YAML: How to Load, Read, and Write YAML • Python Land Tutorial
YAML is easy to write for humans, and read for computers. Learn how to open, parse, and read YAML with Python. With lots of example code!
How to make 40 interactive plots to analyze your machine learning pipeline
A quick guide on how to make clean-looking, interactive Python plots to validate your data and model
Make your sklearn models up to 100 times faster
How to considerable reduce training time changing only 1 line of code
PyTorch 2.0: Our next generation release that is faster, more Pythonic and Dynamic as ever
We are excited to announce the release of PyTorch® 2.0 which we highlighted during the PyTorch Conference on 12/2/22! PyTorch 2.0 offers the same eager-mode development and user experience, while fundamentally changing and supercharging how PyTorch operates at compiler level…
How virtual environments work
After needing to do a deep dive on the venv module (which I will explain later in this blog post as to why), I thought I would explain how virtual environments work to help demystify them. Why do virtual environments exist? Back in my the day, there was no concept
5 Python Decorators I Use in Almost All My Data Science Projects
Decorators provide a new and convenient way for everything from caching to sending notifications.
Write Readable Tests for Your Machine Learning Models with Behave
Use natural language to test the behavior of your ML models
Plotting Network Graphs using Python
Learn how to use the NetworkX package to visualize complex networks
35 Hidden Python Libraries That Are Absolute Gems
I reviewed 1,000+ Python libraries and discovered these hidden gems I never knew even existed.
Python’s multiprocessing performance problem
While multiprocessing allows Python to scale to multiple CPUs, it has some performance overhead compared to threading.
Using PyGWalker to Enhance Your Jupyter Notebook EDA Experience
An Introduction to the PyGWalker Library for Easy Data Visualisation
Getting Started with Python Generators
Learn about Python generators and write memory-efficient and Pythonic code.
SymPy makes math fun again
An introduction into symbolic computations in Python. Don't worry, it's much simpler than it sounds. It's about making Python do your math for you with very little investment in the technology.
Automate the Boring Stuff with Python
40 Open-Source Tools to Supercharge Your Pandas Workflow
Pandas receives over 3M downloads per day. But 99% of its users are not using it to its full potential.
Image Filters with Python
A concise computer vision project for building image filters using Python
Building a Recommender System for Amazon Products with Python
I built a recommender system for Amazon’s electronics category
10 Python Decorators To Take Your Code To The Next Level | by Ahmed Besbes
Do more things with less code without compromising on quality
How to Perform Multivariate Outlier Detection in Python PyOD For Machine Le
Discover how to effectively detect multivariate outliers in machine learning with PyOD in Python. Learn to convert anomaly scores to probability confidence, choose the best outlier classifier and determine the right probability threshold for improved model accuracy.
Introducing the new JupyterLab Desktop!
We are pleased to announce a major update to JupyterLab Desktop which adds many new features with main focus on the user experience…
3 Simple Ways to Create a Waterfall Plot in Python
Learn how to quickly create a presentation-ready plot to aid your data storytelling
How to Create Beautiful Waffle Charts for Data Visualisation in Python
A Great Alternative to Pie Charts for Data Visualisation
Export archived article data from Pocket
Export archived article data from Pocket · GitHub
skops: a new library to improve scikit-learn in production
There are various challenges in MLOps and model sharing, including, security and reproducibility. To tackle these for scikit-learn models, we've developed a new open-source library: skops. In this article, I will walk you through how it works and how to use it with an end-to-end…
pythondocument/Fluent Python.pdf at master · hiddenJuliet/pythondocument
translate python documents to Chinese for convenient reference 简而言之，这里用来存放那些Python文档君们，并且尽力将其翻译成中文~~ - hiddenJuliet/pythondocument
Hyperparameter Optimization: 10 Top Python Libraries
Become familiar with some of the most popular Python libraries available for hyperparameter optimization.
Introducing PyCircular: A Python Library for Circular Data Analysis
Circular data can present unique challenges when it comes to analysis and modeling
PyPI · The Python Package Index
The Python Package Index (PyPI) is a repository of software for the Python programming language.
SHAP: Explain Any Machine Learning Model in Python
Your Comprehensive Guide to SHAP, TreeSHAP, and DeepSHAP
7 Scikit-Learn Best Practices For Data Scientists
Tips for taking full advantage of this machine learning package
Why TensorFlow for Python is dying a slow death
Many developers who use Python for machine learning are now switching to PyTorch. Find out why and what the future could hold for TensorFlow.
Malicious PyPI Packages Using Cloudflare Tunnels to Sneak Through Firewalls
Six malicious Python packages distributed via PyPI deploying info stealers and use Cloudflare tunnels to sneak through firewalls.
Geometric Kernels
A cross-framework package for kernels and Gaussian processes on manifolds, graphs, and meshes
Numba: A High Performance Python Compiler
PacktPublishing/Python-Feature-Engineering-Cookbook-Second-Edition: Python
Python Feature Engineering Cookbook Second Edition, published by Packt - PacktPublishing/Python-Feature-Engineering-Cookbook-Second-Edition
How to Anonymise Places in Python
A ready-to-run code which identifies and anonymises places, based on the GeoNames database
Media Mix Modeling: How to measure the effectiveness of advertising with Py
Media Mix modeling, its implementation, and practical tips
How to use Python Lambdas
Discover the power of anonymous functions and functional programming in Python
13 Tips for using PyTest
Unit-testing is a really important skill for software development. There are some great Python libraries to help us write and run unit-test…
11 Less Used but Important Plots for Data Science
Some Unique Data Visualization Techniques for Getting High-Level Insight into the Data
3 Useful Python Automation Scripts
The post highlights three useful applications of using python to automate simple desktop tasks. Stay tuned till the end of the post to find the reference for a bonus resource.