Content-Length: 14191 | pFad | https://docs.python.org/2/using/../tutorial/../using/../library/archiving.html

12. Data Compression and Archiving — Python 2.7.18 documentation
This document is for an old version of Python that is no longer supported. You should upgrade and read the Python documentation for the current stable release.

Navigation

  • index
  • modules |
  • next |
  • previous |
  • Python »
  • Python 2.7.18 documentation »
  • The Python Standard Library »

12. Data Compression and Archiving¶

The modules described in this chapter support data compression with the zlib, gzip, and bzip2 algorithms, and the creation of ZIP- and tar-format archives. See also Archiving operations provided by the shutil module.

  • 12.1. zlib — Compression compatible with gzip
  • 12.2. gzip — Support for gzip files
    • 12.2.1. Examples of usage
  • 12.3. bz2 — Compression compatible with bzip2
    • 12.3.1. (De)compression of files
    • 12.3.2. Sequential (de)compression
    • 12.3.3. One-shot (de)compression
  • 12.4. zipfile — Work with ZIP archives
    • 12.4.1. ZipFile Objects
    • 12.4.2. PyZipFile Objects
    • 12.4.3. ZipInfo Objects
    • 12.4.4. Command-Line Interface
      • 12.4.4.1. Command-line options
  • 12.5. tarfile — Read and write tar archive files
    • 12.5.1. TarFile Objects
    • 12.5.2. TarInfo Objects
    • 12.5.3. Examples
    • 12.5.4. Supported tar formats
    • 12.5.5. Unicode issues

Previous topic

11.13. sqlite3 — DB-API 2.0 interface for SQLite databases

Next topic

12.1. zlib — Compression compatible with gzip

This Page

  • Show Source

Quick search

Navigation

  • index
  • modules |
  • next |
  • previous |
  • Python »
  • Python 2.7.18 documentation »
  • The Python Standard Library »
© Copyright 1990-2020, Python Software Foundation.
The Python Software Foundation is a non-profit corporation. Please donate.
Last updated on Jun 19, 2020. Found a bug?
Created using Sphinx 2.3.1.








ApplySandwichStrip

pFad - (p)hone/(F)rame/(a)nonymizer/(d)eclutterfier!      Saves Data!


--- a PPN by Garber Painting Akron. With Image Size Reduction included!

Fetched URL: https://docs.python.org/2/using/../tutorial/../using/../library/archiving.html

Alternative Proxies:

Alternative Proxy

pFad Proxy

pFad v3 Proxy

pFad v4 Proxy