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This method requires the Python project to have the following file structure: example_project/ ├── exampleproject/ Python package with source code. | ├── __init__.py Make the folder a package. | └── example.py Example module. └── README.md README with info of the project.
GitHub (/ ˈ ɡ ɪ t h ʌ b /) is a proprietary developer platform that allows developers to create, store, manage, and share their code. It uses Git to provide distributed version control and GitHub itself provides access control, bug tracking, software feature requests, task management, continuous integration, and wikis for every project. [8]
[52] [53] While Python 2.7 and older versions are officially unsupported, a different unofficial Python implementation, PyPy, continues to support Python 2, i.e. "2.7.18+" (plus 3.10), with the plus meaning (at least some) "backported security updates". [54] Python 3.0 was released on 3 December 2008, with some new semantics and changed syntax.
The command to create a local repo, git init, creates a branch named master. [61] [111] Often it is used as the integration branch for merging changes into. [112] Since the default upstream remote is named origin, [113] the default remote branch is origin/master. Some tools such as GitHub and GitLab create a default branch named main instead.
cdist is not typically installed as a package (like .deb or .rpm), but rather via git. All commands are run from the created checkout. The entry point for any configuration is the shell script conf/manifest/init, which is called initial manifest in cdist terms. [9] The main components of cdist are so called types, which bundle functionality. [10]
Following disagreements between former core developers and the repository owner, a fork known as pygame-ce (Community Edition) was created. [16] There is a regular competition, called PyWeek, to write games using Python (and usually but not necessarily, Pygame). [17] [18] [19] The community has created many tutorials for Pygame. [20] [21] [22 ...
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.
Code reuse may be achieved different ways depending on a complexity of a programming language chosen and range from a lower-level approaches like code copy-pasting (e.g. via snippets), [3] simple functions (procedures or subroutines) or a bunch of objects or functions organized into modules (e.g. libraries) [4] [2]: 7 or custom namespaces, and ...