Free Python exercises
You are welcome to try any of the 34 Python exercises listed below, but please do not distribute them in any form without asking for our written permission first.
| Software: |
Python |
| Topic: |
Basic coding |
| Level: |
Relatively easy |
| Exercise: |
Using the INPUT and PRINT functions, get and display the meaning of life. |
| Software: |
Python |
| Topic: |
Basic coding |
| Level: |
Average difficulty |
| Exercise: |
Use the input, str and int functions to get two numbers from a user and show their sum. |
| Software: |
Python |
| Topic: |
Basic coding |
| Level: |
Harder than average |
| Exercise: |
Use an if / elif / else block to return the Hogwarts house colours for an input house name. |
| Software: |
Python |
| Topic: |
Ranges and loops |
| Level: |
Relatively easy |
| Exercise: |
Use the range and format functions to loop down from 10 to 1 displaying a countdown message. |
| Software: |
Python |
| Topic: |
Ranges and loops |
| Level: |
Average difficulty |
| Exercise: |
Loop over the items in a range which are divisible by one number but not another. |
| Software: |
Python |
| Topic: |
Ranges and loops |
| Level: |
Average difficulty |
| Exercise: |
Use the range and format functions to list the square roots of the first 100 integers. |
| Software: |
Python |
| Topic: |
Ranges and loops |
| Level: |
Harder than average |
| Exercise: |
Print out ever-more-accurate estimates of the value of pi using the Leibniz series. |
| Software: |
Python |
| Topic: |
Ranges and loops |
| Level: |
Harder than average |
| Exercise: |
Use the range function in an outer loop to find all the primes up to 100 using an inner loop. |
| Software: |
Python |
| Topic: |
Slicing |
| Level: |
Relatively easy |
| Exercise: |
Use different slicing techniques to extract the names of animals from strings of text. |
| Software: |
Python |
| Topic: |
Slicing |
| Level: |
Average difficulty |
| Exercise: |
Practise slicing and looping on a list of the most common English words. |
| Software: |
Python |
| Topic: |
Sequences |
| Level: |
Relatively easy |
| Exercise: |
Change the last item in a list of Prime Ministers, sort the list then enumerate it. |
| Software: |
Python |
| Topic: |
Sequences |
| Level: |
Relatively easy |
| Exercise: |
Use a list to store items in a shopping list, print them out and change one. |
| Software: |
Python |
| Topic: |
Sequences |
| Level: |
Average difficulty |
| Exercise: |
Create a list of all of the words in a speech, and loop over it printing certain ones. |
| Software: |
Python |
| Topic: |
Sequences |
| Level: |
Average difficulty |
| Exercise: |
Create a tuple containing a list, a string and an integer, then list its contents. |
| Software: |
Python |
| Topic: |
Sequences |
| Level: |
Harder than average |
| Exercise: |
Create a list of numbers which can not be expressed as a sum of an integer and its sum of digits. |
| Software: |
Python |
| Topic: |
Files and folders |
| Level: |
Relatively easy |
| Exercise: |
Open a file for writing, write out your details then read them back in to check. |
| Software: |
Python |
| Topic: |
Files and folders |
| Level: |
Average difficulty |
| Exercise: |
Open a text file, read its lines and split each to give field details for a list of Muppets. |
| Software: |
Python |
| Topic: |
Files and folders |
| Level: |
Harder than average |
| Exercise: |
Loop over the files in a folder, reading the shopping data from each. |
| Software: |
Python |
| Topic: |
Working with sets |
| Level: |
Average difficulty |
| Exercise: |
Compare two lists of grand prix races using sets to find any differences. |
| Software: |
Python |
| Topic: |
Dictionaries |
| Level: |
Average difficulty |
| Exercise: |
Use a dictionary to hold details of the tallest buildings in the world, then list its items. |
| Software: |
Python |
| Topic: |
Dictionaries |
| Level: |
Harder than average |
| Exercise: |
Read in lines from a CSV file into a dictionary and find an item by name if it exists. |
| Software: |
Python |
| Topic: |
Functions |
| Level: |
Relatively easy |
| Exercise: |
Define a function to print out text with the correct length of underlining. |
| Software: |
Python |
| Topic: |
Functions |
| Level: |
Average difficulty |
| Exercise: |
Create functions to parse a quotation into a list of words and get some statistics about them. |
| Software: |
Python |
| Topic: |
Functions |
| Level: |
Harder than average |
| Exercise: |
Write 3 functions to complete a system to extract countries from any given CSV file. |
| Software: |
Python |
| Topic: |
Comprehensions |
| Level: |
Average difficulty |
| Exercise: |
Use text functions, loops and a comprehension to analyse word counts. |
| Software: |
Python |
| Topic: |
Scraping websites |
| Level: |
Average difficulty |
| Exercise: |
Use BeautifulSoup to compile a list of external links for any website. |
| Software: |
Python |
| Topic: |
CSV and Excel |
| Level: |
Relatively easy |
| Exercise: |
Use the openpyxl module to create a new workbook and add values/formulae to it. |
| Software: |
Python |
| Topic: |
CSV and Excel |
| Level: |
Average difficulty |
| Exercise: |
Open an Excel workbook and read down a list of plants finding the ones not in stock. |
| Software: |
Python |
| Topic: |
Linking to SQL Server |
| Level: |
Relatively easy |
| Exercise: |
List out long films which won more than 7 Oscars from a SQL Server database. |
| Software: |
Python |
| Topic: |
Overview of NUMPY |
| Level: |
Relatively easy |
| Exercise: |
Create a NumPy array of the Tokyo Olympics medal table, then slice and sum it. |
| Software: |
Python |
| Topic: |
Overview of NUMPY |
| Level: |
Average difficulty |
| Exercise: |
Use NumPy array functions to work out how much your pancake stall is spending on ingredients. |
| Software: |
Python |
| Topic: |
Overview of Pandas |
| Level: |
Relatively easy |
| Exercise: |
Load, sort and slice a Pandas dataframe of the most-viewed YouTube videos of all time. |
| Software: |
Python |
| Topic: |
Overview of Pandas |
| Level: |
Average difficulty |
| Exercise: |
Read an Excel workbook into a Pandas dataframe, then perform various operations. |
| Software: |
Python |
| Topic: |
Overview of Pandas |
| Level: |
Harder than average |
| Exercise: |
Rename the columns in a dataframe of the most-viewed Netflix series and filter the rows. |
You can search our full list of Python exercises here.
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