#1 India's Top IT Training Institute

×

About Uncodemy

Know more about who we are and what we stand for.

About Us

About Us

Discover our mission to equip individuals with essential IT skills and industry expertise.

Read More →
UnCodeMy Gallery

UnCodeMy Gallery

Explore highlights from our IT training sessions and success stories.

Read More →
×

Free Resources

Learn, practice and plan your career — bilkul free.

Tutorials

Tutorials

Step-by-step written tutorials to learn any technology at your own pace.

Read More →
Free Counselling

Free Counselling

Book a free video counselling session and pick the right course for you.

Read More →
Online Compiler

Online Compiler

Write, run and test your code online — no setup required.

Read More →

Python · Course Modules

Python Programming Course Modules Explained Week by Week

Knowing what each week of a Python course involves helps you prepare, keep pace and practise the right things. This guide lays out a typical ten-week structure, with what you learn, what you practise and a small exercise for each week. Exact order and length vary by provider.

Tracks
Course Phases · Live Interactive
Phase
—
Weeks
Topics
—
What is covered
You build
—
What you make
Basics → Structure → Applied → Project
Click a phase to see what a typical Python course covers in those weeks.

Home / Tutorials / Career Guides / Python Programming Course Modules Explained Week by Week

Python · Course Modules

Python Programming Course Modules Explained Week by Week

WEEKS 1-3 WEEKS 4-6 WEEKS 7-8 WEEKS 9-10 Basics Syntax, loops Collections Start Structure Functions, OOP Errors Organise Applied Files, JSON APIs Use Testing, Project pytest Final build Ship
A typical Python course moves from basics to structure, applied Python, testing and a project.

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:

  1. What each week — typically covers.
  2. A weekly exercise — to practise.
  3. Example code — for key weeks.
  4. A weekly tracker — and final project plan.
  5. 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}.")
weeks-1-3-python
Key insight: Type every example yourself rather than copying it. Typing builds memory of syntax much faster than reading.

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)
weeks-4-6-python
Key insight: Refactoring an old exercise into functions or classes is excellent practice. You see clearly how structure improves code.

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())
weeks-7-10-python
Key insight: Start planning the final project around Week 7. Having an idea ready lets you use each new topic in it as you learn.

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                  [ ]            [ ]    [ ]
python-weekly-tracker.md

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.
Pro tip: If you fall behind, do the weekly exercise before anything else. It is the best single measure of whether you understood the week.

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 / 5

Pick 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.

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