Python · Course Modules
Python Programming Course Modules Explained Week by Week
Quick summary — Python course modules week by week
A typical ten-week Python course runs from setup and basic syntax, through lists, dictionaries and functions, to modules, object-oriented programming and error handling, then files, JSON and APIs, testing with pytest and a final project with Git. Each week pairs concepts with exercises; confirm the official order and duration with the provider.
In this guide you will learn:
- What each week — typically covers.
- A weekly exercise — to practise.
- Example code — for key weeks.
- A weekly tracker — and final project plan.
- Interview questions — mapped to the weeks.
SECTION 01Weeks 1-3: setup, basics and data structures
The first three weeks build fluency. Week 1 covers installing Python, using an editor, running scripts, variables, types and input/output. Week 2 adds conditions and loops. Week 3 introduces the core collections, lists, tuples, dictionaries and sets, plus comprehensions. This is a typical layout, not a confirmed module list for any specific provider:
| Week | Topics | Weekly exercise | Why it matters |
|---|---|---|---|
| Week 1 | Setup, editor, variables, types, print and input | Unit converter | Comfort with tools |
| Week 2 | if/elif/else, for and while loops | Number guessing game | Logic building |
| Week 3 | Lists, tuples, dicts, sets, comprehensions | Word frequency counter | Handling data |
| Review | Mixed exercises | Shopping bill calculator | Combine skills |
import random
secret = random.randint(1, 20)
for attempt in range(1, 6):
raw = input(f"Attempt {attempt}/5 - guess a number 1-20: ")
if not raw.isdigit():
print("Please enter a whole number.")
continue
guess = int(raw)
if guess == secret:
print("Correct!")
break
print("Too low" if guess < secret else "Too high")
else:
print(f"Out of attempts. The number was {secret}.")
from collections import Counter
text = """Python is easy to read. Python is popular.
Reading code is a skill, and practice makes it easy."""
words = [w.strip(".,").lower() for w in text.split()]
counts = Counter(words)
unique = set(words)
long_words = sorted({w for w in words if len(w) > 5})
print("most common:", counts.most_common(3))
print("unique words:", len(unique))
print("long words:", long_words)
SECTION 02Weeks 4-6: functions, modules, OOP and errors
The middle weeks focus on writing organised code. Week 4 covers functions in depth: parameters, default values, return values and scope. Week 5 introduces modules, packages, virtual environments and installing libraries with pip, alongside error handling with try and except. Week 6 covers object-oriented programming with classes, methods and inheritance:
| Week | Topics | Weekly exercise | Why it matters |
|---|---|---|---|
| Week 4 | Functions, arguments, return values, scope | Grade calculator with functions | Reusable code |
| Week 5 | Modules, pip, virtual environments, exceptions | Safe input reader module | Robust programs |
| Week 6 | Classes, objects, methods, inheritance | Library book system | Organised design |
| Review | Refactor an earlier exercise | Week 2 game as functions | Cleaner code |
# safe_input.py Reusable module for later weeks
def read_int(prompt: str, low: int, high: int) -> int:
while True:
raw = input(prompt)
try:
value = int(raw)
except ValueError:
print(f"'{raw}' is not a whole number, try again.")
continue
if low <= value <= high:
return value
print(f"Please enter a number from {low} to {high}.")
if __name__ == "__main__":
age = read_int("Your age: ", 1, 119)
print("Thanks, age recorded:", age)
class Book:
def __init__(self, title: str, author: str):
self.title, self.author, self.borrowed = title, author, False
def __str__(self) -> str:
status = "borrowed" if self.borrowed else "available"
return f"{self.title} by {self.author} ({status})"
class Library:
def __init__(self):
self.books: list[Book] = []
def add(self, book: Book) -> None:
self.books.append(book)
def borrow(self, title: str) -> bool:
for b in self.books:
if b.title == title and not b.borrowed:
b.borrowed = True
return True
return False
lib = Library()
lib.add(Book("Python Basics", "A. Author"))
lib.add(Book("Clean Code Habits", "B. Writer"))
print(lib.borrow("Python Basics"), lib.borrow("Python Basics"))
for b in lib.books:
print(b)
SECTION 03Weeks 7-10: files, APIs, testing and the final project
The last weeks apply Python to real tasks. Week 7 covers files, CSV and JSON with pathlib. Week 8 uses the requests library to call web APIs and handle errors. Week 9 introduces testing with pytest and Git for version control. Week 10 is for a final project that combines everything, with a README and tests. Confirm the actual schedule with your provider:
| Week | Topics | Weekly exercise | Why it matters |
|---|---|---|---|
| Week 7 | Files, CSV, JSON, pathlib | Expense log in CSV | Automate file tasks |
| Week 8 | requests, status codes, JSON APIs | Public API report | Connect to services |
| Week 9 | pytest, assertions, Git basics | Tests for earlier functions | Trustworthy code |
| Week 10 | Final project and review | Complete CLI tool | Portfolio proof |
import csv
from datetime import date
from pathlib import Path
LOG = Path("expenses.csv")
def add_expense(category: str, amount: float) -> None:
new = not LOG.exists()
with LOG.open("a", newline="") as f:
w = csv.writer(f)
if new:
w.writerow(["date", "category", "amount"])
w.writerow([date.today().isoformat(), category, f"{amount:.2f}"])
def totals() -> dict[str, float]:
out: dict[str, float] = {}
with LOG.open(newline="") as f:
for row in csv.DictReader(f):
out[row["category"]] = out.get(row["category"], 0) + float(row["amount"])
return out
add_expense("food", 250)
add_expense("travel", 120)
print(totals())
# pip install requests Uses a public practice API
import requests
def user_post_counts(limit_users: int = 3) -> dict[int, int]:
r = requests.get("https://jsonplaceholder.typicode.com/posts", timeout=10)
r.raise_for_status()
counts: dict[int, int] = {}
for post in r.json():
counts[post["userId"]] = counts.get(post["userId"], 0) + 1
return dict(sorted(counts.items())[:limit_users])
try:
print(user_post_counts())
except requests.RequestException as err:
print("API request failed:", err)
SECTION 04Weekly tracker and final project plan
Use these templates to follow a Python course week by week:
Week Topic Exercise done Notes Pushed to Git
1 Setup, variables, I/O [ ] [ ] [ ]
2 Conditions and loops [ ] [ ] [ ]
3 Data structures [ ] [ ] [ ]
4 Functions [ ] [ ] [ ]
5 Modules, pip, exceptions [ ] [ ] [ ]
6 OOP [ ] [ ] [ ]
7 Files, CSV, JSON [ ] [ ] [ ]
8 APIs with requests [ ] [ ] [ ]
9 pytest and Git [ ] [ ] [ ]
10 Final project [ ] [ ] [ ]
Final project: Personal finance CLI
- Add, list and delete expenses (CSV storage)
- Monthly totals by category
- Optional: currency conversion via a public API
- Classes for Expense and ExpenseBook
- Input validation with clear errors
- pytest tests for core functions
- README with usage examples; clean Git history
Each week:
Attend classes and take short notes
Redo class examples without looking
Complete the weekly exercise
Write three questions you could be asked about the topic
Commit your code with clear messages
SECTION 05Tips for following a Python course week by week
These habits help you keep pace and remember what you learn:
- Practise daily — short sessions beat one long weekend session.
- Redo examples without notes — it shows what you truly know.
- Read error messages fully — the last line usually explains the problem.
- Use Git from Week 1 — your progress becomes visible.
- Plan the final project early — use each week's topic in it.
SECTION 06Interview Q&A — Python course topics
Q1What is a list comprehension?
A compact way to build a list from an iterable, optionally with a condition, such as [x * 2 for x in nums if x > 0].
Q2What is the difference between a function's parameter and argument?
A parameter is the name in the function definition; an argument is the actual value passed when calling it.
Q3What does if __name__ == '__main__' do?
It runs code only when the file is executed directly, not when it is imported as a module.
Q4How do you read a CSV file in Python?
Open it with open() and use csv.reader or csv.DictReader, or use pandas.read_csv for analysis.
Q5Why write tests with pytest?
Tests check that functions behave as expected and catch mistakes automatically when code changes.
SECTION 07Test yourself — Python course topics quiz
Five questions. No sign-up.
0 / 5Pick an answer to see why it is right or wrong.
SECTION 08Frequently asked questions
How long is a typical Python programming course?
Many run for several weeks to a few months, but length varies by provider and depth. Ask for the current schedule and weekly hours.
What is taught in the first week of a Python course?
Usually installing Python, using an editor, running scripts, variables, data types and basic input and output.
How many hours a week should I study Python?
Plan for your class time plus at least as much practice, so you can complete weekly exercises and revise.
What final project should I build at the end?
A small but complete tool, such as a personal finance CLI with file storage, classes, validation, tests and a README.
What comes after a Python course?
Common next steps are data analytics with pandas, web development with Django or Flask, automation, testing or data science.
SECTION 09Related reads
Classroom & online · Noida
Follow a structured Python course
Our Python Training Course moves from basics and data structures to OOP, files, APIs, testing and a final project, with weekly hands-on practice.
Talk to a counsellor for current fees- Weekly exercises
- OOP and files
- Testing and project
- Weekday & weekend batches