Introduction to Programming with Python

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 attendants to the basic concepts and features of Python. The goal is to teach participants how to create simple Python programs and provide them with the autonomy and confidence required to progress independently. During this course, the University's Noteable service will be used to allow participants to quickly access the Python environment and get hands on practice without technological constraint. For this, participants will need access to their own laptop/computer.

After having taken this course, you will be able to attend more intermediate courses such as An Introduction to Machine Learning or Introduction to Text Analysis with Python.

This is a beginner level course. No previous knowledge on the topic is required/expected and the trainer will cover the basics of the method.

This course will be taught by Chris Oldnall and Martin Disley.

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.

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, in order 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.

You may be interested in these other training events:

• Silent Disco: Introduction to Sentiment Analysis
• Introduction to Text Analysis with Python
• A Gentle Introduction to Causal Inference
• An Introduction to Machine Learning

Return to the Training Homepage to see other available events.