Python Pipreqs - How to Create requirements.txt File Like a Sane Person
Want to include only the libraries you use in requirements.txt? Try pipreqs, a Python module …
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Python Square Roots: 5 Ways to Take Square Roots in Python
There’s more than one way to Python square roots. Learn 5 approaches to square roots in …
Gingerit Python: How to Correct Grammatical Errors with Python
Want to check if a sentence is grammatically correct with Python? Try Gingerit - a free Python …
Does Laptop Matter for Data Science? Old ThinkPad vs. New MacBook Pro Compared
Pandas and TensorFlow benchmarks on Intel i3-6100U vs. M1 Pro MacBook Pro - Up to 50X slower? …
Squaring in Python: 4 Ways How to Square a Number in Python
There’s more than one way to square a number in Python. Learn 4 approaches to Python …
3 Reasons Why You Shouldn't Become a Data Scientist
Data Science is fun, but is it a career path you should choose? Think twice if any of these 3 …
PyWhatKit: How to Automate Whatsapp Messages with Python
Want to automate Whatsapp messages? Try PyWhatKit - A Python Whatsapp automation library.
Top 3 Matplotlib Tips - How To Style Your Charts Like a Pro
Matplotlib visualizations don’t have to be an eyesore - Leverage these 3 tips to make …
How to Style Pandas DataFrames Like a Pro
Do your Pandas DataFrames look dull? Add some styles! This article teaches you to Style Pandas …
Python Constants - Everything You Need to Know
Does Python have constants? Read our detailed guide to Python constants in 10 minutes.
Top 3 Radical New Features in Python 3.11 - Prepare Yourself
Python 3.11 is expected to air in October 2022. What’s new? Today we bring you 3 …
Introducing PyScript - How to Run Python in Your Browser
You can now run Python in your browser with PyScript - Learn the basics and code two pages from …
Python is About to Become 64% Faster - Python 3.10 vs. Python 3.11 Benchmark
Let’s compare Python 3.10 vs. Python 3.11 in an extensive benchmark test. Spoiler alert: …
Apache Spark for Data Science - User-Defined Functions (UDF) Explained
You find Python easier than SQL? User-Defined Functions in PySpark might be what you’re …
Apache Spark for Data Science - Hands-On Introduction to Spark SQL
Spark SQL - From basics to Regular Expressions and User-Defined Functions (UDF) in 10 minutes - …
Stop Hardcoding Values in Python Apps - Use ConfigParser Instead
Hardcoded values are a terrible idea. Use configparser to read .ini configuration files in …
Apache Spark for Data Science - Word Count With Spark and NLTK
Learn to count words of a book and address the common stop word issue - implemented in PySpark
Apache Spark for Data Science - How to Work with Spark RDDs
Spark is based on Resilient Distributed Datasets (RDD) - Make sure you know how to use them
Stop Hardcoding Values in Python Apps - Use YAML Configuration Files Instead
You should never hardcode Python app configuration data. YAML is an excellent alternative. …
Apache Spark for Data Science - How to Install and Get Started with PySpark
Want to learn Apache Spark for Data Science? This guide will help you get started. Learn how to …
Stop Hardcoding Values in Python Apps - Use JSON Configuration Files Instead
Still hardcoding values in Python apps? That’s a terrible idea. Learn how to use JSON …
