python-libraries

Python offers developers a standard library, as well as a massive collection of components ranging from individual modules to packages and application development frameworks, all available from the Python Package Index. By using libraries, a development team doesn’t build everything from scratch. Instead, developers can use pre-built elements to build features in areas such as image processing, machine learning, and data visualization.

Data science

Quick guide to data cleaning with examples

Data cleaning is a critical part of every data science project, there’s no doubt about it. But here’s something you should know: preparing data for proper analysis is often [...]

Basics

What is Python used for? Key benefits and examples across 3 industries

What do Netflix, Facebook, Amazon, Dropbox, and Instagram have in common? Aside from being tech giants, they’re all built with the same core technology: Python. Created almost three decades [...]

Data science Python

24 Python machine learning libraries for data science projects

Python is one of the most popular languages among data scientists and web developers today thanks to a large number of libraries that do just about anything, including machine [...]

Data science Python

8 best Python Natural Language Processing (NLP) libraries

Natural language processing (NLP) is a field located at the intersection of data science and Artificial Intelligence (AI) that – when boiled down to the basics – is all [...]

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