Getting started
Last updated on 2024-04-02 | Edit this page
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Overview
Questions
- Programming - why bother?
- Why Python?
- How to learn it?
Objectives
- Understand the concept of programming
- Understand the basics of Python language
Programming — why bother?
Data handling and analysis in bio-research and medicine is best done using coding. In October 2017, the American technology magazine Wired published an article in which the author outlines reasons why several established bio-science researchers working in reputable institutions felt the need to learn coding — specifically in Python: “Want to Make It as a Biologist? Better Learn to Code”.
This Course
We focus on the Python programming language throughout this course, but we discuss universal principles shared amongst many programming languages. Through a diverse range of examples, we will be training these principles by solving problems that we face in biological and medical research.
Why Python?
Python is a general-purpose programming language. This means that it can be exploited to design any type of software, from desktop and web, to robotics and automation, to data analysis. The 2020 survey conducted by the Python Software Foundation and JetBrains® found that approximately 85% of respondents used Python as their first language to conduct data analysis.
In addition, the 2021 developer survey conducted by StackOverflow found that Python is the third most popular general-purpose programming language after JavaScript and HTML/CSS. This means that it enjoys a vibrant community that support and maintain its development, and the development of the libraries associated with it. This is confirmed by the fact that the language is ranked as the second most popular language on GitHub®, which is the primary code-sharing platform amongst programmers.
How to learn?
Learning how to code as a beginner is akin to learning how to walk as a baby. You cannot learn programming by memorising directives; no matter how well you memorise them. To learn how to code, one must learn how think algorithmically; that is, how to break different tasks down into logical procedures. The only way to learn how to “think code” is to practice, make mistakes, and how to overcome those mistakes. It is common to make the same mistake more than once, especially in different contexts, and that can become frustrating at times. However, once you get it, you have it for life.
There are lots materials on the web, both free and paid, to assist with your learning. Use them to your advantage! Great programmers are not the ones who know every technical detail by heart; rather, they are the ones who know what they are looking for, and where they can find the answer.
Known Quirk
Unlike popular belief, the name Python has nothing to do with the snake. It is in fact derived from the popular British sketch comedy series Monty Python’s Flying Circus, of which inventor Guido van Rossum was a self-confessed fan.
Python: The Programming Language
Python is a general-purpose, high-level programming language. It was invented by the Dutch computer programmer Guido van Rossum and was released for the first time in 1990.
A high-level programming language is a language that enjoys strong abstraction from computer details. This means that it is closer to the language that is spoken and understood by humans; put simply: it makes the language more enjoyable to work with.
Categories
In terms of compilation (the conversion of code into the binary symbols understood by a computer), programming languages may be divided into two different categories:
1 - Compiled These are languages whose code is translated (compiled) into machine language en-masse, and in advance, using a designated compiler programme — e.g. C, Rust, Haskell.
2- Interpreted These languages rely on and must always be accompanied by an interpreter, whose job is to translate the source code into machine language one line at a time — e.g. Python, R, MATLAB®.