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  1. Jun 27, 2024 · replit. Jun 27, 2024·. Made with Python. Good starting point for working on data science projects. Contains numpy, pandas, matplotlib, tensorflow and more. #python. #datascience. #dataVisualization. Good starting point for working on data science projects.

  2. 4 days ago · 1. Repl.it. Repl.it provides a very intuitive and beautiful interface for executing Python programs online. It is one of the best online Python compilers with a dark-mode code editor interface. It is free-to-use and quickly executes Python code. It displays the output on the right side of the source code.

  3. Jul 1, 2024 · 7. OneCompiler. OneCompiler is one of the easiest online compilers to work with and supports various programming languages, including Python. It provides a simple and user-friendly interface to simplify writing and execution of the Python code. OneCompiler also supports collaborative coding and sharing of code snippets.

  4. Jun 12, 2024 · Seaborn Tutorial in Python For Beginners. Seaborn is an amazing data visualization library for statistical graphics plotting in Python. It provides beautiful default styles and colour palettes to make statistical plots more attractive. It is built on the top of the matplotlib library and also closely integrated to the data structures from pandas.

  5. 4 days ago · Subplots () is a Matplotlib function that displays multiple plots in one figure. It takes various arguments such as many rows, columns, or sharex, sharey axis. Code: # First create a grid of plots. fig, ax = plt.subplots( 2, 2 ,figsize = ( 10, 6 )) #this will create the subplots with 2 rows and 2 columns .

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  6. Jun 29, 2024 · This means that it can be installed on a 32-bit version of python. Additionally, the libraries I listed aren't very robust in terms of 32-bit versions of python, so I needed to find versions of the above libraries that are all compatible with the same version of 32-bit Python. This is what I got to work. Python: 3.9.13 (32-bit) numpy: 1.23.5

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  8. pypi.org › project › scikit-learnscikit-learn · PyPI

    5 days ago · Project description. scikit-learn is a Python module for machine learning built on top of SciPy and is distributed under the 3-Clause BSD license. The project was started in 2007 by David Cournapeau as a Google Summer of Code project, and since then many volunteers have contributed. See the About us page for a list of core contributors.