Allen Downey - Think Python¶
Talks a lot, step by step, good for beginners
Contains many simple exercises on Python basics, do them!
Software Carpentry is a website full of free educational resources, there is definitely a lot of good stuff to discover.
We highlight these tutorials:
Programming with Python: Nice tutorial with many exercises about processing a csv with topics: python basics, numpy, csv
Plotting and programming with Python More advanced, uses pandas
Website with collections of exercises sorted by difficulty and acceptance rate. You can generally try sorting by Acceptance and Easy filters.
We put here a selection.
LeetCode - Strings¶
Check string problems sorted by Acceptance and Easy. In particular:
LeetCode - Lists¶
Check array problems sorted by Acceptance and Easy. In particular:
Missing number - has many possible solutions
Largest Perimeter Triangle hint: you don’t actually need to try many combinations …
The k Strongest Values in an Array a bit convoluted but doable
Array partition 1 actually a bit hard but makes you think
Reorganize String think first when the task is not possible, for the rest is like previous one
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
.replace on strings, try thinking first whether it is really necessary or you might use the above mentioned preprocessing instead.
Check in particular:
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:
Dive into Python 3¶
More practical, contains more focused tutorials (i.e. manage XML files)
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.