Python for Beginners

Computers, smartphones, and artificial intelligence systems are essential elements in our everyday lives, and so are programming skills. Whether it’s automating repetitive tasks, performing data analysis, or carrying out home automation, the ability to understand and even write your own code to control systems is increasingly relevant. In addition to which, programming is a fun activity too. Ever thought of developing your own computer game? Using the right programming language and tools, this is not as complex as it may seem.

In this course, you’ll get to know Python, currently the most popular programming language in the world, according to IEEE Spectrum. In contrast to other popular languages, Python has a simple syntax and enables learners to get a quick start in programming. But Python is also used by professional developers around the world to develop anything ranging from embedded systems and games to large-scale machine learning systems. This flexibility is due to Python’s ecosystem, providing a vast number of libraries for different tasks and requirements.

In this course, we’ll use Jupyter Notebooks to teach Python. Jupyter Notebooks are a programming environment that is particularly well suited for teaching programming. Besides that, Jupyter Notebooks are also the tool of choice for data scientists. All the information and tools you need will be explained in detail in the first module before the actual learning content starts.

This course is aimed at beginners. We don’t expect any previous programming experience. Nevertheless, the course is also suitable for people with prior programming experience. After introducing the basic programming concepts like variables, data types, and loops, more complex topics like functions, libraries, and file input and output will also be covered in subsequent weeks. At the end of the course you’ll be able to write simple Python programs that reads and writes data to solve your everyday programming problems.

Course Requirements

• No prior programming experience required
• Curiosity and motivation to learn programming

Who this course is for

• Students and professionals interested in learning programming
• Developers interested in learning Python

Course Contents

Welcome to the course: This module provides a short introduction to our course, but does not yet convey any course content.
Week 1: The topic for this week is Python Fundamentals including variables, input/output, data types, and conditional statements.
Week 2: The topic for this week is Lists and Loops.
Week 3: The topic for this week is Complex Data Types.
Week 4: We’re continuing this week with Reading and Writing Data.
Week 5: This week, the topic is Functions.
Week 6: This is the final week, and the topic we’ll be covering is Libraries.
Final Exam

Development Systems

All the information and tools you need to actively participate in the course will be explained in detail in the Welcome to the course module. All described systems are free of charge.