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2. Thonny - Wikipedia

   en.wikipedia.org/wiki/Thonny

   Thonny is a free and open-source integrated development environment for Python that is designed for beginners. It supports different ways of stepping through code, live variables, memory visualization, and remote execution.

3. Python (programming language) - Wikipedia

   en.wikipedia.org/wiki/Python_(programming_language)

   Python is a high-level, general-purpose programming language that emphasizes code readability and supports multiple paradigms. It was created by Guido van Rossum in the late 1980s and has gained widespread use in the machine learning community.

4. Astropy - Wikipedia

   en.wikipedia.org/wiki/Astropy

   Astropy is a collection of software packages written in Python for use in astronomy. It provides core functionality, data structures, file I/O, computational utilities and affiliated packages for various astronomical tasks and data formats.

5. scikit-learn - Wikipedia

   en.wikipedia.org/wiki/Scikit-learn

   scikit-learn is a free and open-source library for various classification, regression and clustering algorithms. It integrates with NumPy, SciPy and other Python libraries and has a long history of development and releases since 2007.

6. Project Jupyter - Wikipedia

   en.wikipedia.org/wiki/Project_Jupyter

   Project Jupyter is a nonprofit organization that develops open-source software, standards, and services for interactive computing across multiple programming languages. It supports Jupyter Notebook, a web-based environment for creating and running code, text, and media in various languages.

7. Pygame - Wikipedia

   en.wikipedia.org/wiki/Pygame

   Pygame is a cross-platform set of Python modules designed for writing video games. It uses the Simple DirectMedia Layer (SDL) library and is released under the GNU Lesser General Public License. Learn about its history, features, applications, and community.

8. Spyder (software) - Wikipedia

   en.wikipedia.org/wiki/Spyder_(software)

   Spyder is an open-source cross-platform integrated development environment (IDE) for scientific programming in the Python language. It integrates with many popular packages in the scientific Python stack, such as NumPy, SciPy, Matplotlib, and others, and offers features such as code completion, debugging, profiling, and plugins.

9. IDLE - Wikipedia

   en.wikipedia.org/wiki/IDLE

   IDLE is a simple and cross-platform integrated development environment for Python, bundled with the language since 1998. It has features such as syntax highlighting, autocompletion, debugger and shell. See the official documentation and links for more information.