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Top Forums Programming Any Good resources to learn Python Post 302934065 by drl on Wednesday 4th of February 2015 11:20:37 AM
Old 02-04-2015
Hi.

This provided the motivation for me to update my database of books. Some time ago when I worked at a training center, we had a Python course. We provided O'Reilly's Learning Python, 1st edition. The course ran perhaps 3 times, and we dropped it for lack of interest. At that time, perl was in ascendancy, so we concentrated on it (I still like perl for quick solutions). Currently, Python seems better-suited to projects that are engineered, and, in the last few years, has passed perl in popularity.

I recently became re-interested in Python, and of the many books available (I usually look at reviews at Amazon), I found the items below to serve my interests:
Quote:
Title: Python Programming
Subtitle: An Introduction of Computer Science
Author: John Zelle
Edition: 2nd
Date: 2010
Publisher: Franklin, Beedle & Associates
ISBN: 978-1-59028-241-0
Pages: 514
Categories: python, programming, languages, computer science
Comments: Python 3, 4.7 (5.0) Amazon
Comments: #1 Best Seller in Introductory & Beginning Programming (2015)

Title: Python for Informatics
Subtitle: Exploring Information
Author: Charles R Severance
Edition: [Kindle Edition]
Date:
Publisher: Amazon Digital Services, Inc.
ISBN: 1492339245
Pages: 246 (859 KB)
Categories: python, programming
Comments: 4.7 (5.0), 33 reviews Amazon (2015.02)
Comments: Kindle (ebook) edition has been free; paperback around $10.
Comments: Amazon.com: Python for Informatics: Exploring Information eBook: Charles Severance: Kindle Store

Title: Data Science at the Command Line
Subtitle: Facing the Future with Time-Tested Tools
Author: Jeroen Janssens
Edition: 1
Date: October 12, 2014
Publisher: O'Reilly Media
ISBN: 1491947853 978-1491947852
Pages: 212
Categories: data science, python, R, using building tools
Comments: 4.0 (5.0) 4 reviews Amazon (2015.02)
Comments: OSEMIN: { obtain, scrub, explore, model, interpret } data
Comments: "We will focus on Python and R because these are
Comments: currently the two most popular programming languages within the
Comments: data science community."

Title: Learning Python
Subtitle:
Author: Mark Lutz
Edition: 5
Date: July 6, 2013
Publisher: O'Reilly Media; Fifth Edition edition
ISBN: 1449355730 978-1449355739
Pages: 1600
Categories: python, programming, object-oriented
Comments: 4.1 (5.0) 111 reviews Amazon (2015.02)
Comments: covers Python 2.7 and 3.3
Comments: There have been many criticisms about the size of this
Comments: book. Edition 1 was 366 pages. Many feel that this should have
Comments: been split into at least 3 books, such as O'Reilly has done with
Comments: perl, q.v.
Note that one of them is free in the Kindle edition. You can read Kindle editions on many platforms (I use an iPad, for example, in addition to a Kindle). There are also PC apps to read Kindle books. I think you will need a Kindle account, however, but it is free.

Good luck ... cheers, drl

Last edited by drl; 02-05-2015 at 01:12 PM..
 

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UPDATE-PYTHON-MODULES(8)				      System Manager's Manual					  UPDATE-PYTHON-MODULES(8)

NAME
update-python-modules - byte-compile python modules SYNOPSIS
update-python-modules [options] [package.public [...]] DESCRIPTION
The update-python-modules command is part of the python-support bundle. update-python-modules is responsible for the byte-compilation of python modules. When used in byte-compilation mode, it will byte-compile modules references in the files given on the command line. When used in installation mode, it will byte-compile them once for each installed python version, and will make them available for all of them. At each invocation, with or without arguments, update-python-modules will check for installed python versions, and will build or remove modules according to new or removed versions since the last time it was run. ARGUMENTS
Arguments must be files or directories located in the /usr/share/python-support directory. Depending on their extension, they are treated differently. package.public A file listing public modules to install for each version. These modules must lie in /usr/share/pyshared or /usr/lib/pyshared. package.private A file listing private modules to byte-compile for one Python version. package/ A legacy directory hierarchy of public modules. The C extensions and portions that change with the Python version are to be found in /usr/lib/python-support/pythonX.Y/package/. package.dirs A legacy file listing directories where to find private modules. OPTIONS
-h, --help Show summary of options. -v, --verbose Detail all actions while they are performed. -b, --bytecompile Only accept to work on private modules. When given this option, update-python-modules will fail if passed references to public mod- ules. -i, --install Only accept to work on public modules. When given this option, update-python-modules will fail if passed references to public mod- ules. -c, --clean Clean modules instead of installing them. -a, --rebuild-all Rebuild all private modules. This is necessary when the default python version was changed, for example. -f, --force-rebuild-all Clean all modules (public and private), and rebuild them. FILES
/usr/lib/pymodules/pythonX.Y/ These directories contain the byte-compiled modules for version pythonX.Y. SEE ALSO
/usr/share/doc/python-support/README.gz AUTHOR
Josselin Mouette <joss@debian.org>. 18 Feb 2009 UPDATE-PYTHON-MODULES(8)
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