Python intermediate series - Working with lists

Target audience

Developers who especially benefit from this course, are:

• beginning programmers with ~6 months Python experience who want to take their coding skills to the next level
• developers who bring experience from another programming language and want to learn how to work with lists in Python
• self-taught Python developers who want to improve their list skills by learning best practices

Try or enroll in the course on Udemy

What can you do after this course?

• Make better decisions when to use one of the 4 built-in container types by seeing their specific features
• Work with lists more efficiently by using Python-specific language features like unpacking, slicing and comprehensions
• Optimize your existing code after learning that Python offers many built-in common list operations

Topics

• What is a Container? Container definition and the 4 built-in container types in Python.
• Lists: Create and change lists. Accessing elements, reverse, sort, count elements.
• Tuples: Create and unpack, assign, swap variables, tuples as return type.
• Dictionaries: Dictionary purpose, keys, lookup, iterate.
• Sets: Set purpose, mathematical operations, superset, subset.
• Common operations: Zip, enumerate, all, any, concatenate, check if element is in list.
• Comprehensions: Mapping, filtering, flatten, matrix.

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