Top 10 Python Tools Programmers Should Know in 2022

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by Apoorva Bellapu


December 18, 2021

Python is one of the most sought after programming languages ​​across the globe, so much so that its popularity is growing exponentially with every passing day. One of the best features of Python is that it is a great language for beginners as well as experienced professionals. To become a good Python programmer, you must master the various Python tools. On that note, take a look at the top 10 Python tools programmers should know about in 2022.

Keras

Keras is an open-source Python tool that provides a Python interface for artificial neural networks. It aims to create a deep neural network. Keras mimics the human brain and simplifies the creation of deep neural networks. So far, this tool supported TensorFlow, Microsoft Cognitive Toolkit, Theano, and PlaidML, among others.

nice soup

If you want to take advantage of various Python-specific idioms to parse, search, and edit a parse tree to the max, there can be no better Python tool to rely on than Beautiful Soup. With this tool, you can automatically convert incoming documents, saving hours of work.

Jupyter notebook

Considered a favorite of data scientists and machine learning engineers, Jupyter notebook has helped in creating and executing code in the best possible way. Here, all you have to do is run a single cell to test the code rather than running the whole program. Moreover, this Python tool is one of the best options to consider for 3D visualization.

Theano

If your goal is to optimize mathematical calculations made up of multi-dimensional arrays, your search ends at Theano. Right from efficient symbolic differentiation, definition and evaluation of mathematical calculations, thorough unit testing to excellent speed, this Python tool has it all.

scikit-learn

Scikit-learn is probably one of the best free Python tools out there. It is loaded with features like regression, classification, and clustering. It is one of the most sought after Python tools for (predictive) data analysis.

sublime text

Sublime Text is one such Python tool that one can use to develop code. Here you find plugins (small software) that can be added to your editor. This brings a series of features such as auto-complete feature and much more.

Sphinx

Program documentation cannot improve when Sphinx is in place. There is a series of questions asked such as your name, code name, etc. This Python tool can be used to generate many different files, such as an HTML file that can be published as a web page or a pdf file.

Seed

Pip is probably the best Python tool to install any Python package you want. Getting started with Pip is not at all a difficult task. All you have to do is download and install it later, which means a good internet connection is all you need.

LXML

LXML is a Python tool designed exclusively for the C libraries – libxml2 and libxslt. There may be no functionality that this tool does not support. No wonder it’s one of the simplest Python programming tools you can’t think of.

Selenium

Selenium, an open source automation framework, hosts a tool for creating programs and databases. Thus, this tool can be widely used for computer applications such as computer-assisted learning or multimedia products. Using this tool, one can write test scripts in a wide range of programming languages ​​- directly from Java, C#, Python, Ruby, etc.

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