Software Programming (IGS1931) — Lectures

Public lecture materials for Software Programming (IGS1931), Inha University.

This repo holds Thursday lecture notebooks and take-home homework assignments — no solution keys. One folder per week for lectures, e.g. week02-functions/, plus a top-level homework/ folder for homework notebooks. Each lecture notebook is meant to be opened and run in Google Colab during its own class, then continued locally afterward.

Lectures

Week	Topic	Notebook
Week 2	Functions — From Repetition to Reuse
Week 3	Functions Practice — Building Fluency
Week 5	Conditionals and Recursion — Practice

Homework

Week	Topic	Notebook
Week 3	Functions Homework
Week 5	Conditionals and Recursion Homework
Week 5	Rock Paper Scissors Assignment (submit Levels 1–4+)	Instructions · Starter .py

Getting a Working Copy

Pick whichever fits your machine.

Option A — Google Colab (fastest, works on shared lab PCs)

Running code in Colab requires signing into a Google account. On a shared lab PC, don't sign into your personal or student account in the regular browser window — use an incognito/private window instead, so nothing stays logged in for the next person:

1. Open a new Incognito/Private window (Ctrl+Shift+N / Cmd+Shift+N).
2. Sign in with your student email — just for this session.
3. Click the Colab badge above for the notebook you need.
4. Immediately do File → Save a copy in Drive. That creates your own private, editable copy — editing the shared link directly will conflict with everyone else opening the same one.
5. When you're done, sign out of the Google account and close the incognito window.

Option B — Clone the whole repo

git clone https://github.com/abdukarimovhm/software-programming-lectures.git

Option C — Download just the one file you need

On GitHub, open the week's folder → open the .ipynb file → click the Download raw file button (the down-arrow icon above the file), or right-click the "Raw" link and choose "Save Link As…".

Once you have the file (Option B or C), skip to Running Locally below.

Running Locally (VS Code / PyCharm + venv)

Once you're past the first Colab session for a topic, work locally instead:

1. Get the files — see Getting a Working Copy above (Option B or C).
2. Create a virtual environment (once per machine, from the repo folder):

   python -m venv venv

3. Activate it — every time you come back to work:
   • macOS/Linux: source venv/bin/activate
   • Windows (PowerShell): venv\Scripts\Activate.ps1
   • Windows (cmd.exe): venv\Scripts\activate.bat
4. Install dependencies:

   pip install -r requirements.txt

5. Open the notebook:
   • VS Code: install the Python and Jupyter extensions, open the repo folder, open the .ipynb file, and pick your venv as the kernel (top-right of the notebook toolbar) before running any cell.
   • PyCharm (Professional): open the repo folder as a project, open the .ipynb file, and set the venv you created as the project's Python interpreter (Settings → Project → Python Interpreter) before running cells. (PyCharm Community doesn't support .ipynb files directly — use VS Code or plain Jupyter instead.)
   • Plain Jupyter (any editor): with the venv activated, run jupyter notebook and open the file from the browser tab it opens.

You only need to repeat steps 2-3 (create/activate) once per machine — after that, just activate the existing venv each session.