100 Days of Code: Python Learning Journey

A growing collection of Python exercises and projects documenting my progress through 100 Days of Code — The Complete Python Pro Bootcamp by Dr. Angela Yu.

From a band name generator to interactive games and a coffee machine simulation, this repository tracks the transition from basic Python syntax to larger programs and an introduction to object-oriented programming.

Problem Statement

Learning programming requires more than understanding individual concepts: it requires combining them into programs that accept input, make decisions, manage data and produce useful results. My goal is to build those skills through daily exercises and small projects, keeping the code available as a record of my learning.

Repository Scope & Progress

• Days 1–15: project files, exercises and course materials.
• Day 16: introductory object-oriented programming examples using Turtle and PrettyTable, stored inside Day 16-100.
• Days 17–100: no separate day implementations are currently included.

This is a learning repository. Some files contain starter code, TODOs, empty exercises or bugs used during practice. The presence of a day folder does not mean every exercise is complete.

Strategic Process

1. Build the fundamentals: practice variables, data types, arithmetic, conditionals, lists and loops.
2. Apply each concept: combine the lessons in small projects such as Treasure Island, Hangman and Caesar Cipher.
3. Organize program logic: use functions, return values, dictionaries and modules to support larger projects.
4. Practice debugging: inspect behavior, reproduce problems and work through debugging exercises.
5. Explore objects and packages: begin working with object attributes, methods, Turtle graphics and PrettyTable.

Learning Results & Tradeoffs

The repository shows practice with interactive command-line programs, reusable functions, game state and structured data. Blackjack, the number guessing game and the coffee machine project bring several of these ideas together in one program.

The emphasis is on learning through iteration. Input validation, error handling and implementation quality vary between exercises; these scripts should be read as coursework and practice rather than production applications.

Daily Project Index

Each day links to its folder and a main project or representative exercise. Day 6's linked function file is currently empty; its folder contains the associated course tasks. Day 13 contains multiple debugging exercises rather than a single final project.

Day	Project / Exercise	Concepts Practiced	Main File	All Day Files
01	Band Name Generator	Variables, strings, input and output	task.py	Browse day
02	Tip Calculator	Data types, conversion, arithmetic and formatting	task.py	Browse day
03	Treasure Island	Conditionals, nesting and logical operators	task.py	Browse day
04	Rock Paper Scissors	Randomization, lists and indexing	task.py	Browse day
05	Password Generator	For loops, ranges and random selection	task.py	Browse day
06	Functions	Function practice and course task materials	task.py	Browse day
07	Hangman	Loops, game state, lists and imported modules	main.py	Browse day
08	Caesar Cipher	Function parameters, arguments and string processing	main.py	Browse day
09	Blind Auction	Dictionaries, nested data and bid comparison	main.py	Browse day
10	Calculator	Return values, docstrings and functions in dictionaries	main.py	Browse day
11	Blackjack	Functions, card scoring and game logic	main.py	Browse day
12	Number Guessing Game	Scope, constants and difficulty levels	main.py	Browse day
13	Debugging Exercises	Reproducing errors, tracing code and using a debugger	task.py	Browse day
14	Higher or Lower	Comparisons, data dictionaries and score tracking	main.py	Browse day
15	Coffee Machine	Resource management, menus and payment logic	main.py	Browse day
16	Objects, Turtle & PrettyTable	Objects, attributes, methods and external packages	Day 16.py	Browse day

Tech Stack

• Language: Python 3.
• Standard library: modules such as random, math and turtle.
• External package: prettytable for the Day 16 table example.
• Development environment: PyCharm-compatible course materials; the Python scripts can also be opened in another editor.
• Project format: standalone scripts, local helper modules and course task metadata.

Installation & Usage

1. Clone the repository

git clone https://github.com/DavidFinTech/100_days_of_code.git
cd 100_days_of_code

2. Check Python

python3 --version

Use a Python 3 installation. On Windows, use py in place of python3 if needed.

3. Run a project

For the band name generator:

python3 "Day 1/task/task.py"

For a project with local helper files, change into its folder and run the main script:

cd "Day 11/task"
python3 main.py

Follow the prompts in the terminal. Keep helper files such as art.py, hangman_words.py and game_data.py alongside their project scripts.

4. Set up the Day 16 example

From the repository root, create a virtual environment and install PrettyTable:

python3 -m venv .venv
source .venv/bin/activate
python3 -m pip install prettytable
cd "Day 16-100/Where are the rest of the days"
python3 "Day 16.py"

On Windows, activate the environment with .venv\Scripts\activate instead. The Turtle example requires a graphical desktop and a Python installation with Tk support. Click the Turtle window to close it and continue to the table example.

Complete Python File Index

Expand a day to open any of its Python files, including project scripts, supporting modules and reference solutions. Empty files and starter exercises are included for completeness.

Day 01 — Python files

• task/solution.py
• task/task.py

Day 02 — Python files

• Data Types/solution.py
• Data Types/task.py
• Mathematical Operations/solution.py
• Mathematical Operations/task.py
• Number Manipulation/solution.py
• Number Manipulation/task.py
• Tip Calculator Project/solution.py
• Tip Calculator Project/task.py
• Type Error, Checking and Conversion/solution.py
• Type Error, Checking and Conversion/task.py

Day 03 — Python files

• If Else/solution.py
• If Else/task.py
• Logical Operators/solution.py
• Logical Operators/task.py
• Modulo/solution.py
• Modulo/task.py
• Multiple Ifs/solution.py
• Multiple Ifs/task.py
• Nesting and Elif/solution.py
• Nesting and Elif/task.py
• Python Pizza/init.py
• Python Pizza/solution.py
• Python Pizza/task.py
• Python Pizza/tests/init.py
• Python Pizza/tests/test_task.py
• Treasure Island Project/solution.py
• Treasure Island Project/task.py
• init.py

Day 04 — Python files

• Banker Roulette/solution.py
• Banker Roulette/task.py
• IndexError/solution.py
• IndexError/task.py
• Lists/solution.py
• Lists/task.py
• Random Module/my_module.py
• Random Module/solution.py
• Random Module/task.py
• Rock Paper Scissors/solution.py
• Rock Paper Scissors/task.py

Day 05 — Python files

• For Loops/solution.py
• For Loops/task.py
• For Loops with Range/solution.py
• For Loops with Range/task.py
• Highest Score/solution.py
• Highest Score/task.py
• Password Generator Project/solution.py
• Password Generator Project/task.py

Day 06 — Python files

• Functions/solution.py
• Functions/task.py

Day 07 — Python files

• task/init.py
• task/hangman_art.py
• task/hangman_words.py
• task/main.py
• task/solution.py

Day 08 — Python files

• Caesar Cipher 1/main.py
• Caesar Cipher 1/solution.py
• Caesar Cipher 2/main.py
• Caesar Cipher 2/solution.py
• Caesar Cipher 3/art.py
• Caesar Cipher 3/main.py
• Caesar Cipher 3/solution.py
• Functions with Inputs/solution.py
• Functions with Inputs/task.py
• Positional vs Keyword Arguments/solution.py
• Positional vs Keyword Arguments/task.py

Day 09 — Python files

• Blind Auction Project/art.py
• Blind Auction Project/main.py
• Blind Auction Project/solution.py
• Dictionaries/solution.py
• Dictionaries/task.py
• Nested Lists and Dictionaries/solution.py
• Nested Lists and Dictionaries/task.py

Day 10 — Python files

• Calculator Project/art.py
• Calculator Project/main.py
• Calculator Project/solution.py
• Docstrings/solution.py
• Docstrings/task.py
• Functions with Outputs/solution.py
• Functions with Outputs/task.py
• Multiple Return Values/solution.py
• Multiple Return Values/task.py

Day 11 — Python files

• task/art.py
• task/main.py
• task/solution.py

Day 12 — Python files

• Block Scope/solution.py
• Block Scope/task.py
• Global Constants/solution.py
• Global Constants/task.py
• Global Vars/solution.py
• Global Vars/task.py
• Namespaces and Scope/solution.py
• Namespaces and Scope/task.py
• Number Guessing Project/art.py
• Number Guessing Project/main.py
• Number Guessing Project/solution.py

Day 13 — Python files

• Describe the Problem/solution.py
• Describe the Problem/task.py
• Fix the Errors/solution.py
• Fix the Errors/task.py
• Play Computer/solution.py
• Play Computer/task.py
• Reproduce the Bug/solution.py
• Reproduce the Bug/task.py
• Use Print/solution.py
• Use Print/task.py
• Use a Debugger/maths.py
• Use a Debugger/python.py
• Use a Debugger/solution.py
• Use a Debugger/task.py

Day 14 — Python files

• Higher or Lower Project/art.py
• Higher or Lower Project/game_data.py
• Higher or Lower Project/main.py
• Higher or Lower Project/solution.py

Day 15 — Python files

• Coffee Machine Project/main.py
• Coffee Machine Project/solution.py

Day 16 — Python files

• Where are the rest of the days/Day 16.py
• Where are the rest of the days/init.py
• Where are the rest of the days/another_module.py
• Where are the rest of the days/main.py
• Day 16 (empty, extensionless file)
• Day16 (empty, extensionless file)

Course & Author

• Course: 100 Days of Code: The Complete Python Pro Bootcamp, Dr. Angela Yu.
• Author: David Urquizo — DavidFinTech.
• Repository: 100_days_of_code.

Course exercises and reference solutions are retained alongside my practice code. This repository currently has no license file; refer to the original course terms for course-provided materials.