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Pandas (styled as pandas) is a software library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series .
PyCharm is an integrated development environment (IDE) used for programming in Python. It provides code analysis, a graphical debugger, an integrated unit tester, integration with version control systems, and supports web development with Django .
Wes McKinney is an American software developer and businessman. He is the creator and "Benevolent Dictator for Life" (BDFL) of the open-source pandas package for data analysis in the Python programming language, and has also authored three versions of the reference book Python for Data Analysis.
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. Vim, with "lang#python" layer enabled. [2]
As well as standard desktop integrated development environments including PyCharm, IntelliJ Idea, Visual Studio Code etc, there are web browser-based IDEs, including SageMath, for developing science- and math-related programs; PythonAnywhere, a browser-based IDE and hosting environment; and Canopy IDE, a commercial IDE emphasizing scientific ...
It is an open-source cross-platform integrated development environment (IDE) for scientific programming in the Python language.Spyder integrates with a number of prominent packages in the scientific Python stack, including NumPy, SciPy, Matplotlib, pandas, IPython, SymPy and Cython, as well as other open-source software.
Kotlin is an open-source, statically typed programming language that runs on the Java Virtual Machine and also compiles to JavaScript or native code (via LLVM). [35] The name comes from the Kotlin Island, near St. Petersburg. [36] JetBrains MPS is an open-source language workbench for domain-specific languages (DSLs).
The pandas package in Python implements this operation as "melt" function which converts a wide table to a narrow one. The process of converting a narrow table to wide table is generally referred to as "pivoting" in the context of data transformations.