Which python IDE should I use? (2024)

FAQs

Which IDE should I use for Python? ›

PyCharm. In industries most professional developers use PyCharm and it has been considered the best IDE for python developers. It was developed by the Czech company JetBrains and it's a cross-platform IDE. It gives daily tips to improve your knowledge of how you can use it more efficiently which is a very good feature.

VS Code supports a wide range of languages, making it suitable for multi-language projects. PyCharm primarily focuses on Python development and thus supports fewer languages.

Visual Studio Code is the best Python IDE and it's not even close.

Yes, Anaconda can be a good choice for beginners in Python programming, especially those interested in data science and machine learning. Its comprehensive package management and pre-installed libraries simplify the setup process and allow beginners to focus on learning Python.

Python-specific editors and IDEs are built exclusively for Python development. PyCharm, Spyder, and Thonny are among the most popular ones. PyCharm is a full-featured IDE that supports Python development directly, with support for source control and projects.

The community of Python developers is very large and allows to quickly solve possible problems. On the other hand, PyCharm is not free and its professional version is quite expensive. It is not necessarily a recommended tool for beginners, because the autocomplete feature can be a problem in the learning process.

Virtual Studio Code (VSCode) is a perfect Integrated Development Environment for Python. It is simple and comes with built-in features that enhance the development experience.

Anaconda also provides enterprise-grade security to open-source software through the Premium Repository. Visual Studio (now in the 2022 edition) is a 64-bit IDE that makes it easier to work with bigger projects and complex workloads, boasting a fluid and responsive experience for users.

Visual Studio automatically detects existing Python installations. For more information, see The Python Environments window. Also, if a newer version of Python is available than the version shown in the installer, you can install the new version separately and Visual Studio detects it.

Experts: For experts with advanced knowledge and complex data science projects, Anaconda is the preferred option. Its robust package management, comprehensive library ecosystem, and environment management capabilities streamline workflows and facilitate collaboration on large-scale projects.

Why use Anaconda instead of Python? ›

While Python is a versatile programming language that can be used for a wide range of applications, Anaconda provides a more specialized environment for machine learning and data science, with pre-installed packages and a package manager that make it easier to manage dependencies and resolve conflicts between packages.

There are many IDEs for writing Python. We recommend Jupyter Notebook because running small experiments is also very helpful when learning how to code.

Python doesn't have an official IDE. However, the IDLE environment included with the standard Python distribution is a basic option for beginners. It's lightweight and simple to use, but it lacks many of the features and functionalities offered by dedicated IDEs.

Yes. Anaconda is built after Python, and thus it is imperative to have Python installed on the computer to use Anaconda. However, you do not need to install Python separately when using Anaconda, as Anaconda comes with its own version of Python.