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Conda is an open-source, [2] cross-platform, [3] language-agnostic package manager and environment management system. It was originally developed to solve package management challenges faced by Python data scientists, and today is a popular package manager for Python and R.
Anaconda is an open source [9] [10] data science and artificial intelligence distribution platform for Python and R programming languages.Developed by Anaconda, Inc., [11] an American company [1] founded in 2012, [11] the platform is used to develop and manage data science and AI projects. [9]
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.
Small-scale project management is the specific type of project management of small-scale projects.These projects are characterised by factors such as short duration; low person hours; small team; size of the budget and the balance between the time committed to delivering the project itself and the time committed to managing the project.
Airflow: Python-based platform to programmatically author, schedule and monitor workflows; Allura: Python-based open source implementation of a software forge; Ambari: makes Hadoop cluster provisioning, managing, and monitoring dead simple; Ant: Java-based build tool
Thonny (/ ˈ θ ɒ n i / THON-ee) is a free and open-source integrated development environment for Python that is designed for beginners. It was created by Aivar Annamaa, an Estonian programmer. It was created by Aivar Annamaa, an Estonian programmer.
[3] [4] From the beginning, the project was made open source, becoming an Apache Incubator project in March 2016 and a top-level Apache Software Foundation project in January 2019. Airflow is written in Python, and workflows are created via Python scripts. Airflow is designed under the principle of "configuration as code".
pip (also known by Python 3's alias pip3) is a package-management system written in Python and is used to install and manage software packages. [4] The Python Software Foundation recommends using pip for installing Python applications and its dependencies during deployment. [5]