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.

As our world becomes more complex, programming has also grown in complexity; developing a deeper technical understanding to tackle…
Data science has its roots in statistics, computer science, and data analysis in the 1960s. It has since evolved…
Over the past decade, programming has emerged as an indispensable tool, enabling us to tackle challenges previously thought impossible….
In the last segment of this 5-piece Portfolio Project, we discussed what sentiment analysis is and the types of approaches for…
Sentiment analysis is a Natural Language Processing (NLP) technique which consists of identifying the emotional tone behind a body…
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Of all the libraries belonging to any Data Scientist’s toolbox, Pandas may be the most important one; it’s built on top…
A couple of months ago, I had an idea; to create a place where people could learn Data Science…
In the last part of this 3-segment Guided Project, we introduced the concept of Exploratory Data Analysis (EDA). We…

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