Python Imaging Library (PIL) Tutorial
In this article, I will introduce you to a tutorial on the Python Imaging Library. Learn how to use Python Imaging Library or PIL.
python
How to Create a Geofence with Python
Taking Advantage of Your Location Data for an Expansive Range of Possibilities
5 Ultimate Python Libraries for Image Processing
OpenCV is not the only one
scikit-learn-intelex · PyPI
Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application.
PyMOL | pymol.org
Python Tricks: Generators Explained
How does a generator in Python work?
14 Must-Know pip Commands For Data Scientists and Engineers
Exploring some of the most useful pip commands for everyday programming
How to Parameterize Python Tests Using Pytest
Passing Arguments to Fixtures and Test Functions
Martin Heinz | Functools - The Power of Higher-Order Functions in Python
There are lots of great Python libraries, but most of them don't come close to what built-in itertools and also
Why decorators in Python are pure genius
Analyze, test, and re-use your code with little more than an @ symbol
Hands-on Survival Analysis with Python
What companies can learn from employee turnover data
fairseq/examples/stories at main · facebookresearch/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python. - facebookresearch/fairseq
Read Excel files with Python. 1000x Faster.
In this article, I’ll show you five ways to load data in Python. Achieving a speedup of 3 orders of magnitude.
TheAlgorithms/Python: All Algorithms implemented in Python
All Algorithms implemented in Python.
Turn Excel Into a Beautiful Web Application Using Streamlit
Present your data as an interactive dashboard web application using the python library Streamlit
The torch.linalg module: Accelerated Linear Algebra with Autograd in PyTorch
Linear algebra is essential to deep learning and scientific computing, and it’s always been a core part of PyTorch. PyTorch 1.9 extends PyTorch’s support for linear algebra operations with the torch.linalg module. This module, documented here, has 26 operators, including faster…
GPBoost: Combining Tree-Boosting with Gaussian Process and Mixed Effects Mo
Combining tree-boosting with Gaussian process and mixed effects models - fabsig/GPBoost
A from-scratch tour of Bitcoin in Python
Musings of a Computer Scientist.
Introduction - Hugging Face NLP Course
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Functioning with python functional programming- lambda, map, filter, zip, reduce, accumulate
In this post, we will understand how python functional programming can be used efficiently to achieve tasks artistically as it is rightly said programming is indeed an art. We prefer using higher-order functions than simply looping because internally these are implemented in C…
How to Schedule Python Scripts With Cron — The Only Guide You’ll Ever Need
Automate your Python script execution — works on Linux and macOS.
Virtual environments for absolute beginners — what is it and how to create one (+ examples)
A deep dive into Python virtual environments, pip and avoiding entangled dependencies
The Quick Guide To Using Environment Variables in Python
Set your application secrets, load, and retrieve them easily in your Data Science apps.
Web Development with Python: Dash (complete tutorial)
Draw with Plotly, Embed Bootstrap CSS, Upload & Download files, Change Inputs after selection, Navbars, Spinners, and more…
Mastering Web Applications with Streamlit
Using Streamlit to Build an ML-based Web Application
Seaborn can do the job, then why Matplotlib?
Should you bypass Matplotlib?
Python Factories for Scalable, Reusable, and Elegant Code
In a real-life factory, the production of identical or similar objects is not done individually but rather streamlined in assembly lines. Similarly, the factory design pattern allows you to create…
Make Pandas 3 Times Faster with PyPolars
Learn how to speed up your Pandas workflow using the PyPolars library.
Interpreting Scattertext: a seductive tool for plotting text
Scroll down to see how to interpret a plot created by a great tool for comparing two classes and their corpora.
Dask DataFrames — How to Run Pandas in Parallel With Ease
Are you a Data Scientist experienced with Pandas? Then you know its pain points. There's an easy solution - Dask - which enables you to run Pandas computations in parallel.
Understanding *args and **kwargs in Python
If you are a beginning Python programmer, you might come across function declarations with parameters that look like this: The * and the ** operators above allow you to pass in variable number of…
Quantra — a Python coding platform to learn quantitative finance
To be honest, the title of the article does quite a good job in describing what Quantra actually is. It’s a platform that helps potential students with their journey of learning about quantitative…
How to cartoonize an image with Python
In this tutorial, I will show you how to give a cartoon-effect to an image in Python with OpenCV. Op...
Predict Customer Churn (the right way) using PyCaret
A step-by-step guide on how to predict customer churn the right way using PyCaret that actually optimizes the business objective and improves ROI for the business.
Handling exceptions in Python like a pro ? ?
In this post, I show you a real-life example of how to create, handle and log exceptions effectively in Python.
Pytorchvideo a deep learning library for video understanding
Web Scraping to Create a Dataset using Python
In this article, I'm going to walk you through a tutorial on web scraping to create a dataset using Python and BeautifulSoup.
Show HN: MPL Plotter – Python library to make technical plots more efficien
Publication-quality data representation library based on Matplotlib. - alopezrivera/mpl_plotter
An Introduction to PyTorch Lightning
Word on the street is that PyTorch lightning is a much better version of normal PyTorch. But what could it possibly have that it brought such consensus in our world? Well, it helps researchers scale…
Vaex: Pandas but 1000x faster
If you are working with big data, especially on your local machine, then learning the basics of Vaex, a Python library that enables the fast processing of large datasets, will provide you with a productive alternative to Pandas.
Top 5 Python libraries for Computer vision
Computer vision is the field of computer science that focuses on replicating parts of the complexity...
My Favorite One Liners | Muhammad
Commandline one liners that makes your workflow more productive
Prophet | Forecasting at scale.
Prophet is a forecasting procedure implemented in R and Python. It is fast and provides completely automated forecasts that can be tuned by hand by data scientists and analysts.
Make Beautiful Spatial Visualizations with Plotly and Mapbox
I recently wrote a post about visualizing weather data from NOAA. We walked through processing the data and making some basic interactive maps with Plotly. In this article I want to use the same data…
How to start with streamlit web framework.
Sometimes you make a data science , machine learning or computer vision projects but suddenly you stu...
What is Dask and How Does it Work?
This article will first address what makes Dask special and then explain in more detail how Dask works. So: what makes Dask special? Python has a rich ecosystem of data science libraries including…
A Hitchhiker's Guide to SQLite with Python
To explore SQLite along with Python, which is a user-friendly and no-nonsense language, we are going...
Simple but Stunning: Animated Cellular Automata in Python
Automation epitomizes the last few decades of rapid technological development where many processes take place without human intervention. But what exactly does it mean? These are the two most common…
30 Examples to Get You From a Novice to an Advanced Pandas User
Pandas is a data analysis and manipulation library for Python. It is one of the most popular tools among data scientists and analysts. Pandas can handle an entire data analytics pipeline. It provides…
Nine Emerging Python Libraries You Should Add to Your Data Science Toolkit in 2022
As Data Science continues to grow and develop, it’s only natural for new tools to emerge, especially considering the fact that data…