![]() ![]() So, before configuring a Python interpreter, you need to ensure that you've downloaded Python and installed it in your system and you're aware of a path to it. When you configure a Python interpreter, you need to specify the path to the Python executable in your system. With P圜harm Professional, you can also configure interpreters to execute your Python code on remote environments by using SSH, Vagrant, Docker, Docker Compose, or WSL (only for Windows). A virtual environment consists of a base interpreter and the installed packages. You can also create a Virtualenv, Pipenv, Poetry, or Conda virtual environment. You can use a system interpreter that is available with your Python installation. To work with your Python code in P圜harm, you need to configure at least one Python interpreter. SymPy Documentation SymPy is a Python library for symbolic mathematics.Configure a Python interpreter Python interpreters in P圜harm Matplotlib Documentation matplotlib is a python 2D plotting library. NumPy Reference Reference documentation for NumPy NumPy User Guide NumPy is the fundamental package for scientific computing with Python. Glossary The most important terms explained General Index All functions, classes, terms Global Module Index Quick access to all modules Language Reference Describes syntax and language elements Library Reference Keep this under your pillow Language Tutorial The official Python language tutorial Pythonista Modules Additional modules developed specifically for iOS What's New in Pythonista Detailed release notes ![]() If you have questions, feedback, or just want to share things you've made with Pythonista, please visit the community forum, send an email to or find me on Twitter: Pythonista An overview of Pythonista's UI, including some tips and tricksĪpp Extensions and Shortcuts Extending and automating iOS with Pythonista scripts It is based on the official Python 3.6.1 documentation and includes information about additional modules that were developed specifically for Pythonista. Welcome! This is the documentation for Pythonista. ![]()
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