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2. Python (programming language) - Wikipedia

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

   Python is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. [33] Python is dynamically type-checked and garbage-collected. It supports multiple programming paradigms, including structured (particularly procedural), object-oriented and functional ...

3. Python syntax and semantics - Wikipedia

   en.wikipedia.org/wiki/Python_syntax_and_semantics

   Python's syntax is simple and consistent, adhering to the principle that "There should be one— and preferably only one —obvious way to do it." The language incorporates built-in data types and structures, control flow mechanisms, first-class functions , and modules for better code reusability and organization.

4. "Hello, World!" program - Wikipedia

   en.wikipedia.org/wiki/"Hello,_World!"_program

   For example, in Python, to print the string Hello, World! followed by a newline, one only needs to write print ("Hello, World!" In contrast, the equivalent code in C++ [ 7 ] requires the import of the input/output (I/O) software library , the manual declaration of an entry point , and the explicit instruction that the output string should be ...

5. Web development - Wikipedia

   en.wikipedia.org/wiki/Web_development

   Python: Python is a versatile, high-level programming language used for a variety of purposes, including server-side web development. Frameworks like Django and Flask make it easy to build web applications in Python. Ruby: Ruby is an object-oriented programming language, and it is commonly used for web development.

6. Matplotlib - Wikipedia

   en.wikipedia.org/wiki/Matplotlib

   Matplotlib (portmanteau of MATLAB, plot, and library [3]) is a plotting library for the Python programming language and its numerical mathematics extension NumPy.It provides an object-oriented API for embedding plots into applications using general-purpose GUI toolkits like Tkinter, wxPython, Qt, or GTK.

7. Dask (software) - Wikipedia

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

   Dask is an open-source Python library for parallel computing.Dask [1] scales Python code from multi-core local machines to large distributed clusters in the cloud. Dask provides a familiar user interface by mirroring the APIs of other libraries in the PyData ecosystem including: Pandas, scikit-learn and NumPy.

8. Shiny (web framework) - Wikipedia

   en.wikipedia.org/wiki/Shiny_(web_framework)

   Shiny is a web framework for developing web applications (apps), originally in R and since 2022 in Python. It is free and open source. [2] It was announced by Joe Cheng, CTO of Posit, formerly RStudio, in 2012. [3] One of the uses of Shiny has been in fast prototyping. [4] In 2022, a separate implementation Shiny for Python was announced. [5]

9. SciPy - Wikipedia

   en.wikipedia.org/wiki/SciPy

   SciPy (pronounced / ˈ s aɪ p aɪ / "sigh pie" [3]) is a free and open-source Python library used for scientific computing and technical computing. [4]SciPy contains modules for optimization, linear algebra, integration, interpolation, special functions, FFT, signal and image processing, ODE solvers and other tasks common in science and engineering.