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Python: the Swiss Army Knife for Researchers

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MAL407

Birkbeck, University of London

Malet Street

London

WC1E 7HX

United Kingdom

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Overview

Python is a scripting language that makes programming easy, fun, and most importantly, productive. Like a Swiss Army knife, Python is small but amazingly sharp and versatile. It enables you to write compact and clean code for almost everything you want your computers to do for your scientific research: from numerical computation to statistical analysis, from plotting graphs to providing web services, from natural language processing to social network visualisation; you name it. It is no surprise that Python is becoming the most popular programming language for data science. By the way, Python is free, as in “free beer”, and as in “free speech” too.

This six-hour crash course aims to introduce the basics of Python programming, explain its advantages compared with other popular programming languages (e.g., C++/Java, Matlab, and R), and illustrate its usage in a number of different domains. The course will be taught in a practical hands-on lab setting. No prior knowledge of computer programming is assumed, but you need to be computer literate in order to follow the demonstrations and participate in the practical sessions.

The provisional list of topics to be covered includes:

• Why Python

• Scientific Python building blocks

• The interactive workflow using JupyterLab

• The Python language

• Data analysis using pandas

• Data visualisation using plotnine etc.

• Examples: text sentiment analysis and social network visualisation

Please refer to the following webpage for more information.
http://www.dcs.bbk.ac.uk/~dell/teaching/py_skills/


Schedule

10:00- 12:00: Introduction

13:00- 15:00: Data Analysis

15:15- 17:15: Data Visualisation


Researcher Development Framework areas

Domain A: Knowledge and intellectual abilities

A1 - Knowledge Base

Domain C: Research governance and organisation

C2- Research Management

Domain D: Communication, influence and impact

D2- Communication and Dissemination

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Location

MAL407

Birkbeck, University of London

Malet Street

London

WC1E 7HX

United Kingdom

View Map

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