The document lists and describes 11 popular Python IDEs (integrated development environments) including Eclipse + Pydev, PyCharm, Spyder, IDLE, Sublime Text 3, Visual Studio Code, Atom, Jupyter, Thonny, and Wing. Each IDE is summarized with its key features such as code editing, debugging, integration with other tools and libraries, and support for data science and scientific programming tasks. The document provides download links for each IDE.
2. Eclipse + Pydev
• Third-party Python editor for Eclipse
Features:
• Interactive console shortcuts
• Allows to create a Google App Engine (GAE) Python project
• Find and Go to definition
• Automatically import code to complete it.
• Configure Django integration.
Saravanakumar, AP/CSE 2
Download Link: https://www.pydev.org/
3. PyCharm
• Cross-platform IDE
Features:
• Intelligent Python code editor - CoffeeScript, JavaScript, CSS, and
TypeScript.
• Provides smart search to jump to any file, symbol, or class.
• Smart Code Navigation
• Quick and safe refactoring of code.
• Allows you to access PostgreSQL, Oracle, MySQL, SQL Server, etc
Saravanakumar, AP/CSE 3
Download Link: https://www.jetbrains.com/pycharm/
4. Spyder
• Scientific IDE
• integrate with Matplotlib, SciPy, NumPy, Pandas, Cython, IPython, SymPy, and
other OSS
Features:
• Allows you to run Python code by cell, line, or file.
• Plot a histogram or time-series, make changes in dateframe or numpy array.
• It offers automatic code completion and horizontal/vertical splitting.
• Find and eliminate bottlenecks
• An interactive way to trace each step of Python code execution.
Saravanakumar, AP/CSE 4
Download Link: https://www.spyder-ide.org/
5. IDLE (Integrated Development and
Learning Environment)
• default editor
• helps a beginner to learn Python easily
Features:
• Search multiple files
• It has an interactive interpreter with colorizing of input, output, and error
messages.
• Supports smart indent, undo, call tips, and auto-completion.
• Enable you to search and replace within any window.
Saravanakumar, AP/CSE 5
Download Link: https://docs.python.org/3/library/idle.html
6. Sublime Text 3
• code editor which supports many languages including Python
• supports OS X, Windows, and Linux operating systems
Features:
• Allows you to highlight syntax.
• It has command Palette implementation that accepts text input from users.
• Handle UTF8 BOMs in .gitignore files
• Display badges for folders and file to indicate Git status
• Changes to a file are represented by markers available in the gutter
Saravanakumar, AP/CSE 6
Download Link: https://docs.python.org/3/library/idle.html
7. Visual Studio Code
• VS Code is an open-source environment developed by Microsoft
• Visual Studio Code is based on Electron which is a framework to deploy Node JS
applications for the computer running on the Blink browser engine.
Features:
• Smart code completion based on function definition, imported modules, as well as
variable types.
• You can work with Git as well as other SCM providers
• Enable you to debug code from the editor.
• Provides extensions to add new languages, debuggers, themes to gain the
advantage of additional services.
Saravanakumar, AP/CSE 7
Download Link: https://code.visualstudio.com/
8. Atom
• Atom users can submit packages and them for the software.
Features:
• Package Manager Integrated for Plugins support
• The feature of smart autocompletion
• Supports Command Palette
• Multiple panes
• Allow cross-platform editing
Saravanakumar, AP/CSE 8
Download Link: https://atom.io/
9. Jupyter
• Best tool for Data Science
• an educational tool or presentation
Features:
• It supports for Numerical simulation, data cleaning machine learning data
visualization, and statistical modeling.
• Combine code, text, and images.
• Support for many programming languages.
• Integrated data science libraries (matplotlib, NumPy, Pandas).
Saravanakumar, AP/CSE 9
Download Link: https://jupyter.org/install.html
10. Thonny
• an IDE for learning and teaching programming
• helps a beginner to learn Python easily
Features:
• Allows developers to view how their code and shell commands affect Python
variables.
• It has a simple debugger.
• Provides support for evaluating an expression.
• Python function call opens a new window with separate local variables table as
well as code pointer.
• Automatically spot syntax error.
Saravanakumar, AP/CSE 10
Download Link: https://thonny.org/
11. Wing
• lightweight Python environment which is designed to give you productive
development experience.
Features:
• Immediate feedback by writing your Python code.
• Helps you to remove common errors and write better Python code.
• You can check for debug data and try out bug fixes interactively without restarting
your app.
• Wing supports test-driven development with various frameworks like the
unittest, pytest, nose, doctest, and Django testing.
Saravanakumar, AP/CSE 11
Download Link: https://wingware.com/