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Spyder is a powerful scientific environment written in Python, for Python, and designed by and for scientists, engineers and data analysts.
Spyder is a powerful interactive development environment for the Python language with advanced editing, interactive testing, debugging and introspection features. Additionally, Spyder is a numerical computing environment thanks to the support of IPython and popular Python libraries such as NumPy, SciPy, or matplotlib.
The Scientific Python Development Environment. Conda Files; Labels; Badges; Error
Anaconda.org allows anyone to distribute their conda and standard Python packages to the world. We support package builders and their users: Individuals and organizations can manage and distribute software. Easy search and installation of packages from conda-forge, Bioconda, PyTorch, and more. Over 120 million packages requests every day.
Anaconda Navigator is a desktop graphical user interface included in Anaconda that allows you to launch applications and easily manage conda packages, environments and channels without the need to use command line commands.
conda install. To install this package run one of the following: conda install anaconda::jupyter.
Provides Jupyter kernels for use with the consoles of Spyder, the Scientific Python Development Environment. These can launched either through Spyder itself or in an independent Python session, and allow for interactive or file-based execution of Python code in different environments, all inside the IDE.
Dlib is a modern C++ toolkit containing machine learning algorithms and tools for creating complex software in C++ to solve real world problems. See http://dlib.net for the main project documentation and API reference.
Python is a widely used high-level, general-purpose, interpreted, dynamic programming language. Its design philosophy emphasizes code readability, and its syntax allows programmers to express concepts in fewer lines of code than would be possible in languages such as C++ or Java.
Python driver for communicating with MySQL servers. Conda. Files. Labels. Badges. License: GPL-2.0. Home: https://dev.mysql.com/doc/connector-python/en/. Development: https://github.com/mysql/mysql-connector-python. Documentation: http://dev.mysql.com/doc/connector-python/en/index.html.
