---
tags: swd1a
---
# 2023-12 <br> SWD1a: Introduction to Python
**NB**: ask for help! https://bit.ly/arc-help
If you have any questions on any aspect of the course, just ping us a message in the course chat, or send one of us a Teams message, or stick a request in the linked form above!
Welcome to the hack pad for SWD1a course from Research Computing at the University of Leeds!
You can edit this document using [Markdown syntax](https://guides.github.com/features/mastering-markdown/).
**First of all** please check if you have a Google account in order to use [Google Colab](https://colab.google/); set up a Google account if you don't.
## Contents
1. [Links to resource](#Links-to-resources)
2. [Agenda](#Agenda)
3. [What's your name and where do you come from?](#What’s-your-name-and-where-do-you-come-from)
4. [Further reading](#Further-reading)
5. [Extra code snippets](#Misc-code-snippets)
## Links to resources
- **Contact Research Computing** - https://bit.ly/arc-help
- **Workshop Slides** - https://swcarpentry.github.io/python-novice-inflammation/
- **Research Computing website** - https://arc.leeds.ac.uk/
- **Google Colab** - https://colab.google/
- **Notebooks** - https://github.com/ARCTraining/swd1a-class-material/tree/main/2023-12
## Agenda
### Agenda Day 1
| Time | Agenda |
| ---- | ------------------------------------------ |
| 1000 | Intro, using Google Colab, What is Python? |
| 1050 | Break |
| 1100 | Python Fundamentals |
| 1130 | Storing Multiple Values in Lists |
| 1230 | Lunch |
| 1330 | Analyzing Patient Data |
| 1430 | Break |
| 1445 | Visualizing Tabular Data |
| 1545 | Questions |
| 1600 | Close |
### Agenda Day 2
| Time | Agenda |
| ---- | ---------------------------------- |
| 1000 | Repeating Actions with Loops |
| 1050 | Break |
| 1100 | Analyzing Data from Multiple Files |
| 1200 | Lunch |
| 1300 | Making Choices |
| 1400 | Creating Functions |
| 1450 | Break |
| 1500 | Errors and Exceptions |
| 1545 | Questions |
| 1600 | Close |
## What's your name and where do you come from?
- Narinder Gahir,Research Technician work at St James university. Pathology department. My aim of this course is to learn coding and work as a Data scientist. TT
- [Patricia Ternes](https://patricia-ternes.github.io/) - Research Software Engineer and member of the [IT Services Research Computing Team](https://arc.leeds.ac.uk/about/team/). **Course Instructor**. :flag-br:
- Ollie Clark, Research Software Engineer and member of the [IT Services Research Computing Team](https://arc.leeds.ac.uk/about/team/). **Course Instructor**.
- [Maeve Murphy Quinlan](https://murphyqm.github.io/), one of the Research Software Engineers on the [Research Computing Team](https://arc.leeds.ac.uk/about/team/). I love applying Python to solve problems in planetary science, from modelling the thermal evolution of planets, to analysing electron microscopy output from the analysis of 4.6 billion year old meteorites. :sparkles: I came to Python *via* research, so I love helping researchers figure out how to use Python in their work! **Course instructor.** :four_leaf_clover:
- Veronica Gonzalez - PhD student in Management
- Daisy Akgonullu - PhD student in Food Science. I would like to learn how to use coding to optimise my data analysis to save time and fit data
- Beth Webb - Post-Doctoral Researcher in FMH researching platelets in the context of cardiovascular disease. I'm in the process of learning R and Python to improve my analysis of clinical datasets.
- Reham Gonnah - Postgraduate Researcher at the School of Dentistry. I would like to learn how to code to better analyse my research data.
- Jennifer McLauchlan - PhD student in Food Science - part of my project involves molecular dynamics simulations, so I would like to learn some coding skills.
- Sufyan Dalal - PhD Student in the school of Mechanical Engineering (Institute of Medical and Biological Engineering)
- James Cannon - Postgraduate Researcher in Music Psychology
- Sarah Bostan - Postdoc
- Can Cheng - Postgraduate Researcher in Risky Kitchen behaviours in the UK.
- Charlotte Wyatt- PhD student in Chemistry
- Mingxin Wang - PhD Student in Food Science
- Lazar Novakovic - Postdoc in plant science
- Ivo Andika Hasugian - PhD Student in School of Mechanical Engineering, planning to create agent-based modelling in python and hybrid simulation.
- Imogen Ridley - PhD student School of Civil Engineering, studying reinforced concrete and its cracking behaviour
- Sinead - Research Assistant (LITE - Education Research)
- Patricia Hoyos - MSc student of Precision Medicine: Genomic Data Sciences from Mexico.
- Tanya Seth - PhD student at School of Mechanical Engineering, iMBE
- Filip Jinga - PGR in the School of Chemistry, wanting to use python for drug discovery.
- Sina Najjari_ PhD student at School of Mechanical Engineering.
- Siddeequah Azmi - International Networks and Projects Officer in the Global Research Developmet Team (Researcg and Innovation Services, University of Leeds)
- Steven Teasdale ---> Electronics Research Technician - Electronics Workshop Physics ---> School of Mechnical Engineering love learning, coding and using Python
## Misc code snippets
### Some example Colab Notebooks:
- [Analysing multiple datasets](https://colab.research.google.com/drive/15wmMjkHXfwzHApf2LcvhDUNNbrJ6MpXz?usp=sharing)
- [Creating functions](https://colab.research.google.com/drive/1BF5_2ia8kloG5KYfGmmLO9Wl3r_mTKAm?usp=sharing)
- All notebooks here: [GitHub](https://github.com/ARCTraining/swd1a-python-2023)
### Download data
```python=
# Download 2 files and store in the swc-python folder
!wget -P swc-python https://swcarpentry.github.io/python-novice-inflammation/data/python-novice-inflammation-data.zip
!wget -P swc-python https://swcarpentry.github.io/python-novice-inflammation/files/code/python-novice-inflammation-code.zip
```
### Unzip Files
```python=
# Extract .zip files inside the folder swc-python/
!unzip /content/swc-python/python-novice-inflammation-code.zip -d /content/swc-python/
!unzip /content/swc-python/python-novice-inflammation-data.zip -d /content/swc-python/
```
As we are using colab, an alternative is to move the data onto Google Drive and mount the drive:
```python=
import numpy
from google.colab import drive
drive.mount("/content/gdrive")
# Load the data (Modify the path to include the drive directory into which you have moved things for this course - i.e. change "..." to "Work/Training")
data = numpy.loadtxt(fname='/content/gdrive/My Drive/.../swc-python/data/inflammation-01.csv', delimiter=',')
print(data)
```
## Further reading
- How to mount your GoogleDrive to your GoogleColab session: [Google Documentation](https://colab.research.google.com/notebooks/io.ipynb)
### Some Free textbooks:
- Full **FREE** datascience with Python textbook with code snippets - https://jakevdp.github.io/PythonDataScienceHandbook/
- Full **FREE** computational numerical Modelling in Python book - https://greenteapress.com/ModSimPy/ModSimPy.pdf
- [Recommended Python book - crash course (free)](https://ehmatthes.github.io/pcc/)
- RealPython.com - useful website
Sign in with Wallet
Connect another wallet