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Welcome to the Summer 2022 TCC Python Crash Course!

Here you will find weekly exercises to help build your programming skills!

git_merge PDF file:

Here you will find written instructions on how to fix a git merge error. These instructions may not work for 100% of cases, so feel free to use Google whenever you get stuck!

PPT Folder:

Here you will find all PowerPoint lectures. Feel free to consult them whenever you need a refresher!

  • Week 1: Installing Python, Jupyter Notebook, and Git. Forking a git repository onto our own computer. Description of Python objects. Hello World and the print statement.
  • Weeks 2-3: Pulling/pushing using git. Python error codes. Lists and booleans. For loops, while loops, and if statements.
  • Week 4: Functions and packages (numpy)
  • Week 5: Review
  • Week 6: pandas and DataFrame objects, file import/export
  • Week 9: Visual Studio Code, the enumerate function, try-and-except blocks, testing your code

Exercises Folder:

Here you will find exercises. Download them and try them on your computer!

  • Week 1: Using the print statement. Simple mathematical operations. Combining different objects in a print statement.
  • Weeks 2-3: Debugging simple code, practicing list indexing, for loops, while loops and if statements. Collatz conjecture, Fibonacci sequence, greatest common factor, and the first n prime numbers.
  • Week 4: Calculating the weight of an object, calculating the fixed monthly payment on a mortgage, calculating Canadian federal taxes. Calculating the Gaussian distribution of an array of numbers, calculating some useful statistics, calculating the velocity of an object using conservation of energy.
  • Week 5: Calculating probabilities related to dice tossing, manipulating a phone book, calculating the partial sums of convergent/divergent series.
  • Week 6: Creating and editing a DataFrame of songs, a DataFrame of colours, and a DataFrame of monthly expenses. Loading a book DataFrame from Excel; writing functions to consume the book DataFrame more efficiently. Working with MSF DataFrames and computing certain important quantities.
  • Week 9: Simple functions using VSCode (manipulating strings and lists), practicing the enumerate function on lists, practicing try and except blocks.
  • Final Quiz: A series of 6 questions to put all your skills to the test!

Extra Exercises:

Here you will find extra exercises which should be shorter and easier than the ones found in the Exercises folder

  • basics: strings, float, integers. The print statement.
  • if_statements_and_booleans: If statements and Booleans
  • loops: For loops and while loops
  • functions: Writing and reading/understanding Python functions

Challenges:

Here you will find especially challenging exercises that put everything you've learned in practice

  • Challenge 1: Approximating the value of pi using a Monte Carlo method
  • Challenge 2: Visualizing the Central Limit Theorem using numpy and matplotlib
  • Challenge 3: Designing a "guessing game" using Python's built-in input() function
  • Challenge 4: Debugging a "choose your own adventure" game
  • Challenge 5: Obtaining the alphabetical Excel column label for the ith column

Solutions Folder:

Here you will find my solutions to the weekly exercises as well as the challenges. Keep in mind that there are often many different ways to solve a problem, so your solution may be just as good as mine.