Top 10 Python Tools Programmers Should Know In 2022 – Analytics Insight

Python Tools

Python is one of the most sought-after programming languages across the globe so much so that its popularity is increasing exponentially with every passing day. One of the best features of Python is that it is an excellent language for both beginners as well as experienced professionals. In order to become a good Python programmer, you need to have a strong command on the various Python tools. On that note, have a look at the top 10 Python tools programmers should know in 2022.

Keras

Keras is an open-source Python tool that provides a Python interface for artificial neural networks. It is aimed at creating 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.

Beautiful soup

If you want to take advantage of various Python-specific idioms for parsing, finding, and editing a parse tree to the fullest, then there cannot be a better Python tool to rely on than Beautiful Soup. With this tool, you can automatically convert incoming documents thereby saving hours of labour work.

Jupyter notebook

Considered to be the favourite of data scientists and machine learning engineers, Jupyter notebook has helped in the creation and execution of code in the best possible manner. Here, all that you have to do is just execute one cell in order to test the code rather than running the whole program. Additionally, this Python tool is one of the best options to consider for 3D visualisation.

Theano

If your aim is to optimize mathematical computations that consist of multi-dimensional arrays then your search ends at Theano. Right from efficient symbolic differentiation, defining and evaluating mathematical computations, extensive unit testing to excellent speed, this Python tool has got it all.

Scikit-learn

Probably one of the best free Python tools that one can find has to be Scikit-learn. It is loaded with features such as regression, classification and clustering. It is one among the most sought after Python tools for data analysis (predictive).

Sublime Text

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

Sphinx

Documentation of programs cannot get better when you have Sphinx in place. There are a series of questions asked such as your name, code name, and so on. This Python tool can be used to generate numerous different files like an HTML file that can be published as a web page or a pdf file.

Pip

Pip is probably the best Python tool to install any Python package of your choice. Getting started with Pip isn’t a tough job at all. All that you have to do is just download it and install it later which means a good internet connection is all you need.

LXML

LXML is a Python tool designed exclusively for C libraries – libxml2 and libxslt. There is possibly no feature that this tool doesn’t support. No wonder it is one of the easiest Python programming tools that one cannot think of.

Selenium

Selenium, an open-source automation framework, hosts a tool for creating programs and databases. Thus, this tool can be used widely 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 – right from Java, C#, Python, Ruby, etc.

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