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← Back to Exercises
  • List

  • Loops

  • Python

Learn Python Loops and lists Interactively

Practice Python Lists and tuples (arrays) with interactive auto-graded exercises and video solutions

Work on real-life coding environments with LearnPack.

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Difficulty

  • easy

Average duration

10 hrs

Difficulty

  • easy

Average duration

10 hrs

Video tutorial

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Difficulty

  • easy

Average duration

10 hrs

Difficulty

  • easy

Average duration

10 hrs

Difficulty

  • easy

Average duration

10 hrs

Difficulty

  • easy

Average duration

10 hrs

Lists and loops are one of the most challenging topics to grasp when learning how to code. You will learn:

  • All the possible ways to loop in Python.

  • Looping lists, tuples, dictionaries and other data structures.

The entire tutorial is πŸ‘† interactive, βœ… auto-graded, and has πŸ“Ή video tutorials.

These exercises were built in collaboration, we need you! If you find any bugs or misspellings, please contribute and report them.

How are the exercises organized?

Each exercise is a small Python project containing the following files:

  1. app.py: represents the entry Python file that will be executed by the computer.
  2. README.md: contains exercise instructions.
  3. test.py: you don't have to open this file, it contains the testing script for the exercise.

Note: The exercises have automatic grading, but it's very rigid and strict, my recommendation is to not take the tests too serious and use them only as a suggestion, or you may get frustrated.

Contributors

Thanks goes to these wonderful people (emoji key):

  1. Alejandro Sanchez (alesanchezr), contribution: (coder) πŸ’», (idea) πŸ€”, (build-tests) ⚠️, (pull-request-review) πŸ‘€, (build-tutorial) βœ…, (documentation) πŸ“–

  2. Paolo (plucodev), contribution: (bug reports) πŸ›, (coder) πŸ’», (translation) 🌎

This project follows the all-contributors specification. Contributions of any kind are welcome!

This and many other exercises are built by students as part of the 4Geeks Academy Coding Bootcamp by Alejandro SΓ‘nchez and many other contributors. Find out more about our Full Stack Developer Course, and Data Science Bootcamp.

Video tutorial

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Difficulty

  • easy

Average duration

10 hrs

Difficulty

  • easy

Average duration

10 hrs