Skip to main content
HomeBlogPython

Open Source in Data Science [Infographic]

Our infographic explains how the open-source revolution has transformed data science and maps out how to become fluent in data manipulation, data visualization, machine learning, reporting and communicating data, and natural language processing.
Feb 2021  · 1 min read

Click the image below to download our infographic on open source in data science. For a deeper dive on open-source technologies in data science, explore our exclusive guide.

Related

10 Essential Python Skills All Data Scientists Should Master

All data scientists need expertise in Python, but which skills are the most important for them to master? Find out the ten most vital Python skills in the latest rundown.

Thaylise Nakamoto

9 min

The 7 Best Python Certifications For All Levels

Find out whether a Python certification is right for you, what the best options are, and the alternatives on offer in this comprehensive guide.
Matt Crabtree's photo

Matt Crabtree

18 min

A Complete Guide to Socket Programming in Python

Learn the fundamentals of socket programming in Python
Serhii Orlivskyi's photo

Serhii Orlivskyi

41 min

Textacy: An Introduction to Text Data Cleaning and Normalization in Python

Discover how Textacy, a Python library, simplifies text data preprocessing for machine learning. Learn about its unique features like character normalization and data masking, and see how it compares to other libraries like NLTK and spaCy.

Mustafa El-Dalil

5 min

Coding Best Practices and Guidelines for Better Code

Learn coding best practices to improve your programming skills. Explore coding guidelines for collaboration, code structure, efficiency, and more.
Amberle McKee's photo

Amberle McKee

26 min

Pandas Profiling (ydata-profiling) in Python: A Guide for Beginners

Learn how to use the ydata-profiling library in Python to generate detailed reports for datasets with many features.
Satyam Tripathi's photo

Satyam Tripathi

9 min

See MoreSee More