Editorial Reviews. “This update to previous editions continues to serve as an. Programming with Python (Texts in Computational Science and Engineering) eBook: Hans. Print Replica format book, available on these devices. Software and additional material for the book 'A Primer on Scientific Programming with Python'.

Changes from the fourth to the fifth edition.Substantial changes were introduced in the fourth edition, and thefifth edition is primarily a consolidation of those changes. Manytypos have been corrected and many explanations and exercises havebeen improved. The emphasis on unit tests and test functions,especially in exercises, is stronger than in the previous edition.Symbolic computation with the aid of SymPy is used to a larger extentand integrated with numerical computing throughout the book. Allclasses are now new-style (instead of old-style/classic as in previouseditions). Examples on Matplotlib do not use the pylab moduleanymore, but pyplot and MATLAB-like syntax is still favored to easethe transition between Python and MATLAB. The concept of closures ismore explicit than in earlier editions (see the new Section 7.1.7)since this is a handy and popular construction much used in thescientific Python community. We also discuss the difference betweenPython 2 and 3 and demonstrate how to use the future module to writecode that runs under both versions.The most substantial new material in the fifth edition appears towardthe end of Chapter 5 and regards high-performance computing, linearalgebra, and visualization of scalar and vector fields.The numbering of sections and in particular exercises differs fromprevious editions.

All programs from the book

On Unix/Linux or Mac, downloadthe tarfile book-examples-5th.tar.gzfor the 5th edition and pack it out by

On Windows, download book-examples-5th.zipfor the 4th edition and pack it out by

or double click on the file icon.

The result is a folder (directory)tree src with subfolders containingthe program examples for different chapters in the book(formulas, looplist, etc., as explained in the introduction toeach chapter).

An important change from the 4th edition is that the directory filesin the 4th edition is named dictstring in the 5th edition.

You can also directly access the latest version of the examplefiles at GitHub, seethe srcdirectory (to download a file, click the Raw button on the right firstto get the pure text file in the browser and then right-click to download).To copy the whole repository to your computer, run

Erratalist

Here is a PDF file or an HTML file with an errata list for the5th edition of the book. If you find any typo or error, pleasereport it to the author.

Software installation

There are several ways to access Python, either on your computer orin the cloud. Appendix H.1 in the book gives an overview ofrecommended technologies and how to use them to get the software you needfor working with the book. Our primary recommendation is to install Anaconda - it suffices for the book. However, if you intend to do more advancedscientific computing in the future, we strongly recommend to use a virtualUbuntu machine for all that work.

SciTools.The package SciTools is freqently referred to and used in the book.You may want to install SciTools directly from its Git version controlrepository. This makes it easy to upgrade the package at any time.SciTools is hosted at GitHub(note that the old repository at Googlecode only contains old versions - stayaway from those!).Make sure you have the Git version control systemon your computer (if not, googling for installation of Git brings youto simple procedures, depending on the platform you are on).Get the SciTools source code and install it by

Whenever you want to upgrade the package, just go to the scitoolsfolder and run the commands

A simpler installation procedure applies pip:

Note that you have to rerun this command to install new versions of SciToolsin the future.

Software installation on Ubuntu

If you have an Ubuntu installation, Python is already there. The minimumextra packages are installed by this command:

The Gnuplot packages are optional (you can exclusively used Matplotlib instead).

A comprehensive installation with lots of useful packages can beperformed by a Bash script. Download this file (install_rich.sh) and run it by bash install_rich.sh.

Slides

There is a slide collectionfrom lectures based on the latest edition of the book.

All programs from the book

On Unix/Linux or Mac, downloadthe tarfile book-examples-4th.tar.gzfor the 4th edition and pack it out by

On Windows, download book-examples-4th.zipfor the 4th edition and pack it out by

or double click on the file icon.

The result is a folder (directory)tree src with subfolders containingthe program examples for different chapters in the book(formulas, looplist, etc., as explained in the introduction toeach chapter).

You can also directly access the latest version of the examplefiles at GitHub, seethe src-4thdirectory (to download a file, click the Raw button on the right firstto get the pure text file in the browser and then right-click to download).To copy the whole repository to your computer, run

Erratalist

Here is a PDF file or an HTML file with an errata list for the4th edition of the book. If you find any typo or error, pleasereport it to the author.

Slides

There is a slide collectionfrom lectures based on the latest edition of the book.

All programs from the book

On Unix/Linux or Mac, downloadthe tarfile book-examples-3rd.tar.gzfor the 3rd edition and pack it out by

On Windows, download book-examples-3rd.zipfor the 3rd edition and pack it out by

or double click on the file icon.

The result is a folder (directory)tree src with subfolders containingthe program examples for different chapters in the book(formulas, looplist, etc., as explained in the introduction toeach chapter).

You can also directly access the latest version of the examplefiles at GitHub, seethe src-3rddirectory (to download a file, click the Raw button on the right firstto get the pure text file in the browser and then right-click to download).To copy the whole repository to your computer, run

Software installation

The old software description is now outdated, so werefer to the new one that appears in the 4th edition.

You may want to install SciTools directly from its Mercurial version controlrepository. This makes it easy to upgrade the package at any time.SciTools is hosted at Googlecode.Make sure you have the Mercurial (hg) version control systemon your computer (if not, do sudo pip install mercurial on Linux or Mac,and pip install mercurial in a Windows Command Prompt or Power Shell window).Get the SciTools source code and install it by

Whenever you want to upgrade the package, just go to the scitoolsfolder and run the commands

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Software installation on Ubuntu

If you have an Ubuntu installation, Python is already there. The minimumextra packages are installed by this command:

A comprehensive installation with lots of useful packages can beperformed by a Bash script. Download this file (install_rich.sh) and run it by bash install_rich.sh.

Erratalist

There is a PDF file with an errata list for the3rd edition of the book.

Slides

There is a slide collectionfrom lectures based on the latest edition edition of the book.

The resource page for the first two editions is locatedelsewhere.