Search Results for "python 3.5 library"
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Showing 6 open source projects for "python 3.5 library"
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99.99% Uptime for MySQL and PostgreSQL DatabasesCloud SQL Enterprise Plus delivers near-zero downtime with 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server.
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Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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LAME (Lame Aint an MP3 Encoder)
A high quality MP3 encoder
LAME is an educational tool to be used for learning about MP3 encoding. The goal of the LAME project is to improve the psycho acoustics, quality and speed of MP3 encoding. Note: we provide source code only! -
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lzhw
LZHW Windows command line lossless compression tool for tabular files
...Using an optimized algorithm (LZHW) developed from Lempel-Ziv, Huffman and LZ-Welch algorithms. The tool can work in parallel and most of its code is written in Cython, so it is pretty fast. It is based on python lzhw library. Full tool documentation can be found at: https://mnoorfawi.github.io/lzhw/6%20Using%20the%20lzhw%20command%20line%20tool/ While the documentation for the python library is at: https://mnoorfawi.github.io/lzhw/ -
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pyCompry
A Python Script to Compress and Backup a Folder
This tool is featured with a very high compression mechanism hence useful in backing up large sized folders over a slow network, Or useful in reducing the backup size to a maximum possible. For detailed help, please refer to http://blogger.iamamazing.in/2016/01/automate-backup-with-python-script.html -
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ebsdiff creates a binary patch file using the bsdiff format. The enhancements to bsdiff are that it stores an MD5 hash of the original file (preventing accidental patching of the wrong file) and can limit the memory it uses while creating the patch file.
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Firefly's Clean Lzo
A human-readable ISC-Licensed implementation of the LZO1X algorithm.
...So I'm going to deobfuscate LZO and provide a ISC implementation of this algorithm in Python and C. In addition, I will provide a textual description of the algorithm so that it can be easily ported to any programming language. I expect a severe performance degradation, but I leave optimizing for speed to other people.
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