If you’re a software developer or engineer, it may be helpful to learn a common programming language called Python. Many professionals have released open-source software tools that can help you learn how to code using Python. By reading about some potential options, you can best decide which one is right for you. In this article, we discuss what Python tools are and list nine different tools that you may want to try.
What are Python tools?
Python tools are software programs that enable you to code in the Python language more efficiently. These tools provide features that allow you to check and compile your code to ensure it can run correctly on a hardware system. They can also provide a variety of resources, such as online data libraries and educational tutorials that you can use to increase your programming knowledge.
9 open-source Python tools for developers
If you’re interested in learning more about some of the Python tools available for developers, it may be helpful to read about the features that different tools offer. Here’s a list of some popular Python tools developers use to enhance their programming and improve the efficiency of their workflows:
Selenium is a tool that provides assistance with web application implementation and testing. This program provides a framework that programmers can use to run and test scripts in Python and a variety of other programming languages. You can also use this program to perform tests on any internet browser to ensure that your program is operating correctly with the different browser options. Selenium also generates reports on any tests that you run so you can identify bugs quickly and fix them.
Scikit-Learn is a program that can help programmers streamline their data science and machine-learning practices, which is the development of computer systems that adapt and learn on their own without direct instructions. Popular with Python developers, Scikit-Learn provides tools that help you perform benchmark tests to examine a program’s performance speed and identify any areas of improvement. This program also offers tools for data mining techniques, including clustering, model selection, and regression.
Keras is a resource library developed using Python. This program offers tools that help with machine learning, so you can improve in these areas easily while keeping track of any changes in your code. Keras also features an interface that helps improve your efficiency by consolidating a variety of different functions into a single application. This app also works with a variety of other popular programs, so working with Keras can be a good choice if you want to incorporate multiple software resources into one tool.
SciPy is an open-source library for Python that provides technical tools to assist optimization and interpolation during development processes for mathematics-based or science-orientated software. SciPy’s features can assist with research endeavors, plus the development of a variety of different products, such as specialized data structures. As SciPy offers an interactive user interface (UI), this app can be a helpful option if you’re interested in a program that helps you visualize code as you work.
TestComplete is an automation testing program that specializes in mobile and web application development. This program can be useful for software developers who work primarily with mobile applications, as the digital tools it provides offer features like keyword-driven testing that can help you optimize content for search engines. This program can also help you improve your user interface development with its automated interface object detection which helps reduce the amount of upkeep needed to keep your applications functional.
6. Beautiful Soup
Beautiful Soup is a Python library that works by extracting data from HTML and XML files to assist with your software development. This software can integrate with a variety of online parsers to help you translate Python scripts into readable language so you can search for specific items and better navigate data overall. Beautiful Soup offers features for modifying parsing tools and automatically converting incoming documents to Unicode. You can also use Beautiful Soup to convert your documents to UTF-8, a variable character encoder, so this app can be helpful if you complete many digital encoding projects.
Scrapy is an open-source development framework written in Python that assists with website development. This program provides essential tools for developing web spiders that examine browsing data and retrieve relevant information in a process known as scraping. Scraps can be a useful tool if you spend a lot of time researching websites to collect information and extract different types of data. Scrapy provides the tools that allow you to automate these scraping processes so you can spend more time working on your code and less time reviewing websites to find the right resources.
Click is a Python program you can use to create a variety of different command-line interfaces you can use to input directions to your applications. This program has features for identifying external IP addresses and pinging servers to detect delays and other problems related to connectivity. You can use Click to expose a Python script’s functions to the command line, then access your script directly from the terminal. This program can be useful if you spend a lot of time dealing with interface testing, as the tools it provides can help automate a lot of your work.
Theano is a Python library that helps you express multi-dimensional arrays, meaning you can complete mathematical calculations and convert image data. For example, this program offers features that allow you to define and evaluate mathematical problems. Theano also uses your computer’s graphics processing unit (GPU) to test how your code interacts with various pieces of computer hardware. This program can be useful for programmers who focus on developing software that is compatible with a variety of different devices.
I hope you find this article helpful.