Getting Started with Python for Research
Online
Python is one of the most popular programming languages. It is an object-oriented programming language with a simple and elegant syntax. It is also very versatile and has a big community of users. It’s relatively easy to learn, and it’s used in a variety of fields, from machine learning to text analysis. Thus, it is ideal for rapid prototyping and development of ideas and applications.
This course will introduce attendees to the basic concepts and features of Python. This will be done through the University Noteable service for ease of access and getting started. The goal is for participants to feel comfortable with creating simple Python programs and provide them with the autonomy and confidence required to progress independently.
This course will be taught by Chris Oldnall.
After taking part in this event, you may decide that you need some further help in applying what you have learnt to your research. If so, you can book a Data Surgery meeting with one of our training fellows.
More details about Data Surgeries.
Those who have registered to take part will receive an email with full details on how to get ready for this course.
If you’re new to this training event format, or to CDCS training events in general, read more on what to expect from CDCS training. Here you will also find details of our cancellation and no-show policy, which applies to this event.
Level
This is a beginner-friendly course. No previous knowledge on the topic is required/expected, and the trainer will cover the basics of the method.
Learning Outcomes
- Demonstrate an understanding of the Python language syntax features for: conditions, logic, functions, collections and list comprehensions.
- Be able to program short blocks of code in Python, to solve basic tasks.
Differentiate between different approaches in programming and demonstrate an awareness of the optimal use to pick in a range of scenarios.
Skills
By attending this course, you will become familiar with the following skills
- Write and edit Python functions using Notebooks
Manipulate data using Python
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- BYOD (Bring Your Own Data) Fest
