Python

Python is a multi-purpose, high-level, object-oriented, and prevalent programming language. Its high adoption rate over the last years has been mainly due to its pseudo-code-like syntax, overall ease of use, compatibility with other programming languages, a substantial ever-growing online community, and a library tailored for almost anything one could imagine. Python is currently a cornerstone in Data Science.

This section will discuss the history behind the Python programming language, its installation and configuration, syntax and relevant algorithms, the most used Data Science and Computer Science libraries, Machine Learning-specific libraries, and more.

Exploratory data analysis (EDA) is a scientific technique developed by the mathematician John Tukey in the 1970s widely used in…
GitHub Gists is a tool developed by GitHub which provides a simple way to share code snippets with other people….
Writing code can be as simple as importing the required libraries, declaring our variables, functions, and classes as required,…
Over the last two articles of this series, we have discussed different Big Data file formats and their overall…
In the first part of this 3-article series, we introduced the concepts of columnar file formats & row-based file formats. We also…
A Big Data file format is designed to store high volumes of variable data optimally. This can be achieved…

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