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Practice Python Lists and tuples (arrays) with interactive auto-graded exercises and video solutions.
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chip-student/python-lists-loops-programming-exercises
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Looping is one of the most challenging topics to grasp when learning how to code, learn all the possible ways to loop in python, looping lists, touples, dictionaries and other data-structures. The entire tutorial is 👆 interactive, ✅ auto-graded and with. 📹 video tutorials.
1.Python for Beginners | ||
2.Practice Looping Lists and Tuples | ← 🔥 your are here now | |
3.Practice functions | ||
4.Master Python (intermediate) | ||
5.Python API Requests | ||
6. What next?Request a new tutorial orcollaborate. We will feature your profile in our list of contributors |
These exercises were built in collaboration, we need you! If you find any bugs or misspells plese contribute and report them.
- Install learnpack, the package manager for learning tutorials and the html compiler plugin for learnpack, make sure you also have node.js 12+:
$ npm i learnpack -g$ learnpack plugins:install learnpack-python
- Download this particular exercise using learnpack and
cd
into the folder:
$ learnpack download python-lists-loops-programming-exercises$ cd python-lists-loops-programming-exercises
Note: Once you finish downloading, you will find a "exercises" folder that contains all the exercises within.
- Start the tutorial/exercises by running the following command at the same level were your bc.json file is:
$ $ pip3 install pytest==4.4.2 pytest-testdox mock$ learnpack start
Note: The exercises have automatic grading but its very rigid and string, my recomendation is to ignore the tests and use them only as a recomendation or you can get frustrated.
## 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.## ContributorsThanks goes to these wonderful people ([emoji key](https://github.com/kentcdodds/all-contributors#emoji-key)):1. [Alejandro Sanchez (alesanchezr)](https://github.com/alesanchezr), contribution: (coder) :computer: (idea) 🤔, (build-tests) :warning:, (pull-request-review) :eyes: (build-tutorial) :white_check_mark: (documentation) :book:2. [Paolo (plucodev)](https://github.com/plucodev), contribution: (bug reports) :bug:, contribution: (coder), (translation) :earth_americas:This project follows the[all-contributors](https://github.com/kentcdodds/all-contributors)specification. Contributions of any kind are welcome!
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Practice Python Lists and tuples (arrays) with interactive auto-graded exercises and video solutions.
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