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.
Topics
RelatedSee MoreSee More
cheat sheet
LaTeX Cheat Sheet
Learn everything you need to know about LaTeX in this convenient cheat sheet!
Richie Cotton
tutorial
How to Convert a List to a String in Python
Learn how to convert a list to a string in Python in this quick tutorial.
Adel Nehme
tutorial
A Comprehensive Tutorial on Optical Character Recognition (OCR) in Python With Pytesseract
Master the fundamentals of optical character recognition in OCR with PyTesseract and OpenCV.
Bex Tuychiev
11 min
tutorial
Encapsulation in Python Object-Oriented Programming: A Comprehensive Guide
Learn the fundamentals of implementing encapsulation in Python object-oriented programming.
Bex Tuychiev
11 min
tutorial
Python KeyError Exceptions and How to Fix Them
Learn key techniques such as exception handling and error prevention to handle the KeyError exception in Python effectively.
Javier Canales Luna
6 min
code-along
Full Stack Data Engineering with Python
In this session, you'll see a full data workflow using some LIGO gravitational wave data (no physics knowledge required). You'll see how to work with HDF5 files, clean and analyze time series data, and visualize the results.
Blenda Guedes