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PyPI as an index allows users to search for packages by keywords or by filters against their metadata, such as free software license or compatibility with POSIX. [9] A single entry on PyPI is able to store, aside from just a package and its metadata, previous releases of the package, precompiled wheels (e.g. containing DLLs on Windows), as well ...
Besides the default PyPI repository, Pip supports custom repositories as well. [16] Such repositories can be located on an HTTP(s) URL or on a file system location. A custom repository can be specified using the -i or—index-url option, like so: pip install -i https://your-custom-repo/simple <package name> ; or with a filesystem: pip install ...
Anaconda, Inc. compiles and builds the packages available in the Anaconda repository itself, and provides binaries for Windows 32/64 bit, Linux 64 bit and MacOS 64-bit (Intel, Apple Silicon). Anything available on PyPI may be installed into a Conda environment using pip, and Conda will keep track of what it has installed and what pip has installed.
A URL is simply an address of a resource on the World Wide Web. A Persistent URL is an address on the World Wide Web that causes a redirection to another Web resource. If a Web resource changes location (and hence URL), a PURL pointing to it can be updated. A user of a PURL always uses the same Web address, even though the resource in question ...
Effectively namespaces web-based protocols from other, potentially less web-secure, protocols This convention is defined within the HTML Living Standard specification web+ string of some lower-case alphabetic characters :
Main page; Contents; Current events; Random article; About Wikipedia; Contact us; Help; Learn to edit; Community portal; Recent changes; Upload file
PyPy as of version 7.3.17 is compatible with two CPython versions: 2.7 and 3.10. [12] [13] The first PyPy version compatible with CPython v3 is PyPy v2.3.1 (2014). [14] The PyPy interpreter compatible with CPython v3 is also known as PyPy3. PyPy has JIT compilation support on 32-bit/64-bit x86 and 32-bit/64-bit ARM processors. [15]
The purpose of storing an index is to optimize speed and performance in finding relevant documents for a search query. Without an index, the search engine would scan every document in the corpus, which would require considerable time and computing power. For example, while an index of 10,000 documents can be queried within milliseconds, a ...