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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. PyCharm is developed by the Czech company JetBrains and built on their IntelliJ platform. [4]
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 release of Python 2. [37] Python consistently ranks as one of the most popular programming languages, and has gained widespread use in the machine learning community. [38] [39] [40] [41]
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 .
IDLE (short for Integrated Development and Learning Environment) [2] [3] is an integrated development environment for Python, which has been bundled with the default implementation of the language since 1.5.2b1. [4] [5] It is packaged as an optional part of the Python packaging with many Linux distributions.
Datalore is a web application for data analysis and visualization, which is focused specifically on the machine learning environment in Python. [44] JetBrains Academy [45] is an online platform to learn programming, including such programming languages as Python, Java, and Kotlin. The Academy was introduced by JetBrains in 2019, and reached ...
Python: PyGTK: GPL: Unknown Unknown Yes (integrates with external debuggers) Unknown Unknown Unknown Unknown Unknown Unknown Unknown Unknown Unknown Unknown Unknown PyCharm: JetBrains 2023.2.3 2023-10-11 Windows, Linux, macOS: Java, Python: Swing: Open core: Full version under Apache License 2.0: Yes Yes Yes Unknown Yes
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 ...
By default, a Pandas index is a series of integers ascending from 0, similar to the indices of Python arrays. However, indices can use any NumPy data type, including floating point, timestamps, or strings. [4]: 112 Pandas' syntax for mapping index values to relevant data is the same syntax Python uses to map dictionary keys to values.
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