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2. NumPy - Wikipedia

   en.wikipedia.org/wiki/NumPy

   NumPy is open-source software and has many contributors. ... in 1997 to work on JPython, [6] ... Python Data Science Handbook: Essential Tools for Working with Data.

3. pandas (software) - Wikipedia

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

   If data is a Series, then data['a'] returns all values with the index value of a. However, if data is a DataFrame, then data['a'] returns all values in the column(s) named a. To avoid this ambiguity, Pandas supports the syntax data.loc['a'] as an alternative way to filter using the index.

4. List of Python software - Wikipedia

   en.wikipedia.org/wiki/List_of_Python_software

   Ninja-IDE, free software, written in Python and Qt, Ninja name stands for Ninja-IDE Is Not Just Another IDE; PyCharm, a proprietary and Open Source IDE for Python development. PythonAnywhere, an online IDE and Web hosting service. Python Tools for Visual Studio, Free and open-source plug-in for Visual Studio. Spyder, IDE for scientific programming.

5. List of PDF software - Wikipedia

   en.wikipedia.org/wiki/List_of_PDF_software

   Software to view or edit the internal structures of PDF documents, and merge them. Pdftk: GNU GPL: Yes Yes Yes FreeBSD, Solaris Yes Command-line tools to edit and convert documents; supports filling of PDF forms with FDF/XFDF data. GUI front-end exists (see PDFChain). PDFsam Basic: AGPLv3 for version 3, GPLv2 for previous versions 2.x Yes Yes Yes

6. Anaconda (Python distribution) - Wikipedia

   en.wikipedia.org/wiki/Anaconda_(Python_distribution)

   Anaconda is a distribution of the Python and R programming languages for scientific computing (data science, machine learning applications, large-scale data processing, predictive analytics, etc.), that aims to simplify package management and deployment. Anaconda distribution includes data-science packages suitable for Windows, Linux, and macOS ...

7. Python (programming language) - Wikipedia

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

   Guido van Rossum began working on Python in the late 1980s as a successor to the ABC programming language and first released it in 1991 as Python 0.9.0. [36] Python 2.0 was released in 2000. Python 3.0, released in 2008, was a major revision not completely backward-compatible with earlier versions. Python 2.7.18, released in 2020, was the last ...

8. Exploratory data analysis - Wikipedia

   en.wikipedia.org/wiki/Exploratory_data_analysis

   Exploratory data analysis, robust statistics, nonparametric statistics, and the development of statistical programming languages facilitated statisticians' work on scientific and engineering problems. Such problems included the fabrication of semiconductors and the understanding of communications networks, which concerned Bell Labs.

9. Project Jupyter - Wikipedia

   en.wikipedia.org/wiki/Project_Jupyter

   The main parts of the Jupyter Notebooks are: Metadata, Notebook format and list of cells. Metadata is a data Dictionary of definitions to set up and display the notebook. Notebook Format is a version number of the software. List of cells are different types of Cells for Markdown (display), Code (to execute), and output of the code type cells. [23]