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Python Constants - Everything You Need to Know

Python Constants - Everything You Need to Know

Does Python have constants? Read our detailed guide to Python constants in 10 minutes.

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Top 3 Radical New Features in Python 3.11 - Prepare Yourself

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 remarkable new Python 3.11 features.

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Introducing PyScript - How to Run Python in Your Browser

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 scratch!

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Python is About to Become 64% Faster - Python 3.10 vs. Python 3.11 Benchmark

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: Python 3.11 is up to 64% faster!

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Apache Spark for Data Science - User-Defined Functions (UDF) Explained

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 looking for. This guide will teach you everything you need to know about UDFs.

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Apache Spark for Data Science - Hands-On Introduction to Spark SQL

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 - Everything you need to know.

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Stop Hardcoding Values in Python Apps - Use ConfigParser Instead

Stop Hardcoding Values in Python Apps - Use ConfigParser Instead

Hardcoded values are a terrible idea. Use configparser to read .ini configuration files in Python.

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Apache Spark for Data Science - Word Count With Spark and NLTK

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

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Apache Spark for Data Science - How to Work with Spark RDDs

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

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Stop Hardcoding Values in Python Apps - Use YAML Configuration Files Instead

Stop Hardcoding Values in Python Apps - Use YAML Configuration Files Instead

You should never hardcode Python app configuration data. YAML is an excellent alternative. Learn how to use it in a real Python app.

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