View source for 22101/22161 - Introduction to programming in Life Science using Python

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'''Teacher:''' [https://www.inside.dtu.dk/da/dtuinside/generelt/telefonbog/person?id=816&cpid=214027&tab=2&qt=dtupublicationquery Peter Wad Sackett], pwsa@dtu.dk <!--, [https://www.inside.dtu.dk/en/dtuinside/generelt/telefonbog/person?id=130596&tab=0 Gisle Alberg Vestergaard], gisves@dtu.dk --> <br>
'''Language:''' The course is taught in English.<br>
'''Tools:''' The course is using Jupyter Notebook. [[Install Jupyter Notebook]] before you meet in class.<br>
'''Textbooks:''' There are no text books for the course. I will make do with powerpoints, videos and references to online resources. You can find the material under the individual lessons in the [[Programme]].<br>
'''Location:''' Building 358, room 60b + streaming to room 054, no matter what your plan says.<br>
'''Time:''' Tuesday 8:00 - 12:00, module E3-A.<br>

== Course details ==
There are no plans for streaming the lectures as there already are some recorded video lectures for each session. However, with over 180 students two teaching rooms must be used. I will stream the teaching from one room  to the other.

[[Programme]] Fall 2023

[[How the course is conducted]] Required reading

[[Course Survival Guide]] Useful when you get stuck early

[[Good code]] Always keep this in mind

[https://rosalind.info/problems/locations/ Rosalind project] Python exercises at different levels for practicing 
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== Resources ==
* Online: [https://teaching.healthtech.dtu.dk/material/22101/clean_code.html Clean Code] by Lukasz Dynowski. An amazing read that is mandatory. Read it once around lesson 5 and once more around lesson 8.
* Online: [https://www.coursera.org/learn/python Coursera course: Programming for Everybody] is a beginner course in Python. Everyone who wants to prepare for course 22101/22161 can start here. Just get far enough so you understand what programming is and how it works. That will benefit you a lot as a newbie. The [https://teaching.healthtech.dtu.dk/material/22101/CourseraPythonBook_270.pdf Coursera textbook].

* Book: ''Learning Python'', 5th ed. by Mark Lutz (O'Reilly) ISBN: 978-1-449-35573-9. This is the best Python book I have read. It covers all the basics and then some. All from the perspective of being a novice programmer. However, it is a brick; big, heavy and unwieldy. If you only want one Python book, then this should be the one. The course will not be taught from this book, but it could be good to have as a Python reference manual.

* Book: ''Python Crash Course: A Hands-On, Project-Based Introduction to Programming'' by Eric Matthes (No Starch Press) ISBN: 1593276036, 9781593276034. A pretty OK book which leads you into the Python world without too many distracting points and theoretical contemplation.

* Online: [https://wiki.python.org/moin/BeginnersGuide/NonProgrammers Python for Non-Programmers]
* Online: [https://docs.python.org/3/tutorial/ Official Python 3 tutorial]
* Online: [https://docs.python.org/3/reference/index.html Python 3 reference manual]
* Online: [https://docs.python.org/3/library/index.html Python 3 standard library]
* Info: [[Biological knowledge needed in the course]]

'''Videos with advice on learning how to code'''<br>
* Youtube: [https://www.youtube.com/watch?v=A8ldqcFS5S8 How I Would Learn To Code If I Was To Start Over] by Tiff In Tech
* Youtube: [https://www.youtube.com/watch?v=_nsV65jUPL8 Coding Was Hard Until I Learned THESE 5 Things!] by Pooja Dutt
* Youtube: [https://www.youtube.com/watch?v=MHPGeQD8TvI How I would learn to code (if I could start over)] by Tina Huang
* Youtube: [https://www.youtube.com/watch?v=To8hKb112Aw How I would learn to code (if I could start over)] by PIRATE KING
* Youtube: [https://www.youtube.com/watch?v=9s29LKfEFjQ How I would learn to code (If I could start over)] by Jason Goodison
* Youtube: [https://www.youtube.com/watch?v=NtfbWkxJTHw How to Learn to Code - 8 Hard Truths] by Fireship

'''Interesting but less teaching oriented material'''<br>
* Online: [http://ivory.idyll.org/blog/big-data-biology.html Top 12 reasons you know you are a Big Data biologist]
* Online: [http://lifehacker.com/six-life-lessons-ive-learned-from-programming-1502077380 How programming and your life is similar]
* Youtube: [http://www.youtube.com/watch?v=nKIu9yen5nc What most schools don't teach - how to think]

== Archive of old course programmes ==
[[Programme 2023]]