There’s a lot of buzz around Python these days. It’s the language of choice for companies such as Facebook, Twitter, and Google, not to mention that it’s free. However, there may be more than one language that you could use to build your apps. To keep up with the competition, you need to know different software development tools and libraries that can help you do your job better and quicker.
Python is a high-level and open-source programming language that’s gaining popularity among developers. Python is known for being easy to learn and use, but it’s also powerful enough to be used in the most demanding of environments.
Python is the most popular programming language on GitHub, and it has been the top-used language on that platform since 2013. It can be used for web development, GUI development, data science, and many other areas of software development.
Here are 10 tools Python developers should learn in 2022.
PyCharm IDE
PyCharm is an open-source Python IDE that offers a very intuitive interface and powerful features for development. The IDE has some of the best support for managing multiple projects and features to help with code completion, navigation, debugging, and refactoring. PyCharm has excellent support for professional developers and is a great choice for any developer who wants to use their editor as part of their workflow.
It’s also one of the most popular IDEs for Python developers in the workplace due to its support for virtually every language feature that you might need.
Python Anywhere
Python Anywhere is a fantastic tool for Python developers. It provides a cloud-based, browser-based solution for running and testing Python programs. It’s free to use and comes with a great community of people willing to help on Stack Overflow.
It works on any operating system, including Windows, Linux, and macOS. You can easily download the app from their website or use the mobile app if you have a smartphone or tablet device.
What makes this tool so great is that it doesn’t require you to install anything on your computer or even download anything separately. You can just log in with your credentials and start working right away!
Sphinx
Sphinx is a tool for generating documentation from reStructuredText files. A Sphinx document can be used as standalone documentation, be included in other documentation, or be converted to HTML or LaTeX for inclusion on your website.
Sphinx supports reStructuredText as its primary markup language but also accepts XML and HTML (using the pep8 and sphinx-doc extensions).
Sphinx has an extensive list of extensions that allow you to add extra functionality to your documents. Some of the most popular are:
RST2HTML converts reStructuredText to HTML with the use of Sphinx’s code conversion engine. This extension works well for web content, but it does not work well for blog posts and other articles that tend to require more complex markup than Sphinx can handle.
Sphinx Documentation uses RST2HTML as its base document format but adds support for Markdown, Docutils, and reST definitions as well. It also supports other formats like LaTeX and XHTML with special templates written by Dan Allen and others.
Jupyter Notebook
Jupyter Notebook is a web-based application for authoring, running, and sharing code. It is a powerful tool that can be used to develop web applications (e.g., Python web apps), or as a standalone development environment.
Jupyter Notebook is a web-based application for authoring, running, and sharing code. It is a powerful tool that can be used to develop web applications (e.g., Python web apps), or as a standalone development environment.
Jupyter Notebook is an extension of the IPython Notebook system developed by the IPython project (formerly known as IPython Notebook). It offers several features that are not available in the IPython Notebook system: rich text formatting support, cell/table styling, and rendering, inline images, rich display of Markdown syntax highlighting and Git commit messages, automatic table of contents generation from rendered markdown content, etc.
Pip Package
Pip is a package manager for Python. It is used to install, upgrade, and manage software packages from the Python Package Index (PyPI). Pip is especially useful for Python developers because it saves time by automating the process of installing packages.
The pip command can be used with virtualenv, conda, or pipenv. You can also use it with Anaconda to set up a conda environment with all packages needed.
You can install pip by running the following command on your terminal: pip install –user –upgrade pip
Keras
Keras is a high-level neural network library written in Python. It’s used for building and training deep learning models, as well as for implementing more general-purpose APIs.
The Keras library is designed to be easy to use from both a developer and an end-user perspective. It has a modular API that allows you to plug in any number of layers and other functionality you might need in your model.
Keras also provides several pre-built models that can be easily imported into your projects, such as ResNet50, VGG16, and Inception V3.
Scikit-Learn
Scikit-Learn is a machine-learning library that can be used to perform unsupervised and supervised machine-learning tasks. It is designed to be easy to use, and it even comes with a built-in tutorial that you can use as a guide. You can create models using your favorite Python package or even use the Scikit-Learn API directly from within your code.
Scikit-Learn also has extensive documentation which gives you all the information you need on how to use it. You can also find useful tutorials online if you want to learn more about this library.
Selenium
Selenium is a test automation tool that allows you to write tests in different languages and run them on your web browser. This technology has been around for a while, but it was only recently that its adoption among developers started to pick up.
Selenium is used for testing a wide range of applications such as websites, mobile apps, APIs, and more. It can be used for manual testing as well as automated testing scenarios like integration testing and functional tests.
Sublime Text
Sublime Text is a free and open-source text editor for code, markup, and prose. It is available for Windows, macOS, and Linux, and as a mobile app for Android and iOS.
Sublime Text has been downloaded more than 50 million times since its first release in 2004. It is used by developers to develop desktop applications, web applications, mobile apps, games, and more.
BeautifulSoup
BeautifulSoup is a Python library for parsing and extracting data from web pages and HTML documents.
The library is designed to be very simple to use, yet powerful enough to handle more complicated tasks. It works on all major platforms (Unix/Mac OS X/Windows) and provides support for the three main web browsers: Firefox, Chrome, and Safari.
BeautifulSoup’s main features include:
- Parsing HTML with regexes, regular expressions, or XPath expressions.
- Extracting text from HTML pages and other XML documents using XPath expressions.
- Creating image galleries from images or HTML pages.
Conclusion
The tools listed above can make a big difference in your development environment. They will help you save time and make Python a more efficient tool for your programming needs.
You might also like our TUTEZONE section which contains exclusive tutorials on making your life simpler by using technology.
