References

Allen Downey - Think Python

Talks a lot, step by step, good for beginners

License: Creative Commons CC BY Non Commercial 3.0as reported in the original page

W3Resources website

Contains many simple exercises on Python basics, do them!

Software Carpentry

Software Carpentry is a website full of free educational resources, there is definitely a lot of good stuff to discover.

We highlight these tutorials:

You may find other stuff in Community Developed Lessons for Jupyter and Python

LeetCode

Website with collections of exercises sorted by difficulty and acceptance rate, quite performance-oriented. You can generally try sorting by Acceptance and Easy filters.

We put here a selection.

LeetCode - Sets and Dictionaries

Check dictionary problems sorted by Acceptance and Easy.

Note: Keep in mind these problems are in section dictionaries for good reason: in order to execute fast they often require you to preprocess the data by indexing in it in some way, like i.e. putting strings in a set or as keys in a dicitonary so you can later look them up very fast.

WARNING: if you feel the need to use nested cycles, or search methods on lists/strings like .index, .find, in operator, .count, .replace on strings, try thinking first whether it is really necessary or you might use the above mentioned preprocessing instead.

Check in particular:

HackerRank

Contains many Python 3 exercises on algorithms and data structures (Needs to login)

Geeks for Geeks

Contains many exercises - doesn’t have solutions nor explicit asserts but if you login and submit solutions, the system will run some tests serverside and give you a response.

In general for Part A you can filter difficulty by school+basic+easy and if you need to do part B also include medium.

You can select many more topics if you click more>> un der Topic Tags:

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Dive into Python 3

More practical, contains more focused tutorials (i.e. manage XML files)

Licence: Creative Commons By Share-alike 3.0 as reported at the bottom of book website

Introduction to Scientific Programming with Python

Focuses on numerical calculations, you can check first 7 chapters until dictionaries.

By Joakim Sundnes.

  • PDF for Python (only theory)

  • Exercises – a LOT of stuff, although some exercises are too much into engineering / maths compared to this book

  • EXTRA: if you like, it also contains chapters on classes which are certainly useful.

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