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Aug 24, 2022 · Development tools help us to build fast and reliable Python solutions. It includes Integrated Development Environment (IDE), Python package manager, and productive extensions. These tools have made it easy to test the software, debug, and deploy solutions in production.
Aug 29, 2024 · To help you choose the best Python IDE or code editor, I’ve extensively researched the ten top Python IDEs and Python code editors based on popularity, functionality, number of users, and user feedback. I’ve also included IDEs and editors in this list that cater to beginners and professional developers who are chasing Python certifications.
- The best Python IDE is that which enhances your coding experience and productivity by the greatest margin. If you’re a beginner, then it may be goo...
- Several Python IDEs have been designed with beginners in mind. These let you build a comfort level with the environment as you become familiar with...
- There is no official IDE for Python per se. IDLE is bundled with Python, so it could be viewed as the official IDE, but the Python developer commun...
- Jupyter is a popular choice for machine learning developers as it offers ease of use with running simulations and sharing results with others. Simi...
- SciPy. It’s a free and open-source tool that can be accessed by anyone built to solve mathematical, scientific, and engineering calculations. Travis Oliphant, Eric Jones, and Pearu Peterson introduced it first in 2001.
- Scikit-learn. A well-known, very popular, highly used, open-source tool that was also known as scikit-learn and sk-learn was introduced back in 2007 by David Cournapeau during Google Summer of Code (GSoC) and was published in 2010.
- Keras. Another open-source neural network library was introduced first by François Chollet (Google Engineer) in 2015. Keras was written in python and boats on the top of some of the most popular libraries such as theano, and TensorFlow.
- Selenium. If you want to write test scripts in a certain language like Java, C# or PHP, and many more then selenium is for you. With selenium, you can combine it with multiple languages and can also perform tests from literally any web browser (like chrome, explorer, safari, etc.)
To make things easier, you’ll break your list into two broad categories of tools: the ones built exclusively for Python development and the ones built for general development that you can use for Python. You’ll explore some Whys and Why Nots for each.
- PyCharm IDE. PyCharm, as an IDE, offers intuitive auto-completion, tips, PEP8 checks, and other code quality enhancement features. You can also rely on it for intelligent automated code refactoring, testing assistance, and code inspections, amongst other features.
- Jupyter Notebook. Jupyter Notebook has everything you'll ever need for interactive development, documentation, and code execution. The Notebook comes equipped with a console-based approach for document authoring.
- Keras. Keras is a high-level neural network API library spearheading Python ML and Deep Learning projects. Keras helps you extend your Python AI neural network programming ecosystem with back-ends like TensorFlow, Microsoft Cognitive Toolkit, PlaidML, Theano, and many others.
- Pip Package. Python's Pip Package is a default package manager for Python and comes bundled with every installation. Pip helps you leverage packages in other local or remote repositories, provided they abide by Python Enhancement Proposal 503.
Mar 8, 2024 · In this comprehensive guide, we have explored 25 essential tools that every Python developer should know. From package management tools like pip and conda to testing frameworks like unittest and pytest, these tools cover various aspects of the Python development workflow.
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Jan 30, 2022 · Many Python Programmers and Software Engineers are using these tools and libraries to make their code faster and cleaner than ever before and can make your job easy such as auto-completing your code or downloading large data and organizing it for your research or development.
