INTRODUCTION TO PYTHON FOR BIOLOGISTS

[Melanie Colón]

INTRODUCTION TO PYTHON FOR BIOLOGISTS

This course is being delivered by Dr Martin Jones, an expert in Python and author of two text books,

Python for Bi
author of two text books,

Python for Biologists [http://www.amazon.com/Python-Biologists-complete-programming-beginners/dp/1492346136/]

programming-beginners/dp/1492346136/]

Advanced Python for Biologists [http://www.amazon.com/Advanced-Python-Biologists-Martin-Jones/dp/1495244377/
Biologists-Martin-Jones/dp/1495244377/].

The course will run from 1st – 5th of February 2016 at SCENE (the Scottish Centre for Ecology and the Natural E
Centre for Ecology and the Natural Environment), Loch Lomond National Park, Glasgow.

Course overview: Python
Glasgow.

Course overview: Python is a dynamic, readable language that is a popular platform for all types of bioinfor
platform for all types of bioinformatics work, from simple one-off scripts to large, complex software project
to large, complex software projects. This workshop is aimed at complete beginners and assumes no prior pro
beginners and assumes no prior programming experience. It gives an overview of the language with an emphasis o
of the language with an emphasis on practical problem-solving, using examples and exercises drawn from
examples and exercises drawn from various aspects of bioinformatics work. After completing the workshop, stu
After completing the workshop, students should be in a position to (1) apply the skills they have learned
apply the skills they have learned to tackle problems in their own research and (2) continue their Python educ
and (2) continue their Python education in a self-directed way.

Link to course: http://prstatistics.com/course/introduction-to-python-for-biologists-ipyb/

Curriculum:
biologists-ipyb/

Curriculum:

Day 1:
Module 1 - Introduction
Module 2 - Output and text manipulation

Day 2:
Module 3 - File IO and user interfaces
Module 4 - Flow control 1: loops

Day 3:
Module 5 - Flow control 2: conditionals
Module 6 - Organizing and structuring code

Day 4:
Module 7 – Regular expressions
Module 8 - Dictionaries

Day 5:
Module 9 – Interaction with the file system
Module 10 - Optional free afternoon to cover previous modules and discuss data

Te
data

Teaching format: The workshop is delivered over ten half-day sessions (see the deta
the detailed curriculum below). Each session consists of roughly a one hour lecture
lecture followed by two hours of practical exercises, with breaks at the organize
organizer’s discretion. There will also be plenty of time for students to discuss
discuss their own problems and data.

Intended audience: This workshop is aimed at all researchers and technical worker
workers with a background in biology who want to learn programming. The syllab
syllabus has been planned with complete beginners in mind; people with previo
previous programming experience are welcome to attend as a refresher but may fi
may find the pace a bit slow.

Assumed background: Students should have enough biological background to appr
appreciate the examples and exercise problems (i.e. they should know about DNA
DNA and protein sequences, what translation is, and what introns and exons are)
are). No previous programming experience or computer skills (beyond the abil
ability to use a text editor) are necessary, but you'll need to have a lapt
laptop with Python installed.

The cost is £500 including lunches and course materials. An all-inclusive op
option is also available at £710; this includes breakfast, lunch, dinner, re
refreshments, accommodation and course materials. Participants will need a la
laptop with a recent version of Python installed.

Please send inquiries to oliverhooker@prstatistics.com or visit the website
www.prstatistics.com

Please fee free to distribute this information anywhere you think suitable

Other upcoming courses - GENETIC DATA ANALYSIS USING SIAR; ; APPLIED BAY
BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS; SPATIAL ANALYSIS OF ECO
ECOLOGICAL DATA USING R; ADVANCING IN R. PYTHON FOR BIOLOGISTS; INT
INTRODUCTION TO STATISTICS AND R FOR BIOLOGISTS; DNA TAXONOMY; TIME SERIES ANA
ANALYSIS FOR ECOLOGISTS AND CLIMATOLOGISTS; BIOINFORMATICS FOR GENETICISTS AND
AND BIOLOGISTS; MULTIVARIATE ANALYSIS OF SPATIAL DATA;

Oliver Hooker
PR~Statistics