To my knowledge no such class exists at the time of this post. However, the Khan Academy is good resource for an online course on learning the basics of python visually. Together with the tutorials specifically regarding the Biopython module you would be competent in the basics of programming python for bioinformatics in no time.

You can find online free courses in edx.org. And one of them is : MITx: 6.00x Introduction to Computer Science and Programming where they teach python.

Http://www.code.org/

Hi, recently i have started a free course in http://www.codecademy.com/#!/exercises/0 you can find a Python class there, and also Khan Academy is a good source. Furthemore is a great idea support this proyect http://www.code.org/

Hi, i recommend http://www.w3schools.com/, its the one of the best online for learning programming languages. are u looking for certificates too?

W3shool is pretty good for beginners. For the purpose of practice, I recommend CodeForces.

Http://ibibiosolutions.com/one-month-python.php

I prefer books which will give you more detailed information on the very programming language.

Https://www.coursera.org/

If you want to learn Python, I will definitely recommend to learn from a book like "Dive into Python" - http://www.diveintopython.net/

If you can work through the book, it will be as good as, if not better than, any 30-hour introductory course.

http://software-carpentry.org/ is where I learnt Python

Http://pythonmonk.com/

Http://ocw.mit.edu/courses/health-sciences-and-technology/hst-508-genomics-and-computational-biology-fall-2002/audio-lectures/intro-1-computational-side-of-computational-biology-statistics-perl-mathematica-cont/

Can someone be specific about Perl!!! Thanks in advance!!

Gaurav,

PERL was designed to do mainly text processing and since its inception has grown into a full blown language. In Joachim's entry he lists CPAN which contains 24226 modules available for added functionality. in bioinformatics PERL uses the Module bioPerl modules, and to start out install Bio::Perl module for basic functionality and go to http://www.bioperl.org/wiki/Bptutorial.pl for examples on using the module functionality.

Nonetheless, I would recommend that before using PERL or Python to check the underlying interpreter specification. In the old versions of PERL (version 4) it used only IV (integer value), PV (string value), or NV (double) for its scalar values (this reference is from the section PERL internals in the book advanced PERL programming by Sriram Srinivasan). This should limit the resolution if you want to use long or long long types from C in its native form for calculations. If you want to extend its numeric functionality you should use the module Math::GMP - High speed arbitrary size integer math. If the modules that you are using do not use this module as a dependency be very careful.

The same advise would go for newer versions of PERL and Python, check its underlying interpreter to see if it suit your needs before using it.

Hope this helps

If you want to learn PERL, I cant recomend the below book strongly enough:

Beginning Perl for Bioinformatics

An Introduction to Perl for Biologists

By James Tisdall

I learnt the necessary basics of PERL from this book from scratch in just a couple of weeks.

For Python, you might want to have a look at the free tracks at Codecademy (http://www.codecademy.com/de/tracks/python).

For Python, also look at http://www.pythontutor.com/ , it helps to understand what actually is happening when a program is executed.

I find that the following has helped me in teaching our group to code in python. http://interactivepython.org/courselib/static/thinkcspy/

try YouTube

For python, I will not restate some of the excellent resources above, so I will list one that I have had good luck with: http://learnpythonthehardway.org/

You can pay for the videos, but just progressing through the problem sets in order is very beneficial to learning.

https://alison.com/courses/Perl-Programming

This is a free online Perl course, you just need to register.

Hope this helps!