How to Learn Python from Scratch: A 60-Day Plan for Beginners

The fastest way to learn Python is to study a small concept, use it in a tiny program the same day, and build one real project every couple of weeks. Python is one of the most beginner-friendly programming languages, and it is used for web development, automation, data analysis, machine learning, testing and DevOps. This guide gives you a 60-day plan, the exact topics to cover in order, and project ideas that turn practice into a portfolio.

Why learn Python?

• Readable syntax: Python code looks close to plain English, so you spend less time fighting the language.
• Many career paths: the same language leads to data science, data analytics, test automation, backend development and DevOps.
• Huge library ecosystem: packages like pandas, requests, Django, FastAPI and pytest save you from writing everything yourself.
• Strong community: almost every error you hit has already been answered online.

Set up your environment (day 1)

1. Install the latest Python 3 from python.org. On Windows, tick Add Python to PATH during installation.
2. Install VS Code and its Python extension.
3. Open a terminal and check the installation:

python --version
python -m pip --version

Learn to create a virtual environment early. It keeps each project’s packages separate:

python -m venv .venv
# Windows
.venvScriptsactivate
# macOS / Linux
source .venv/bin/activate
pip install requests

The 60-day Python plan

Plan for about one to two hours a day. If you miss a day, continue where you stopped; do not restart.

Days 1 to 10: the basics

• Variables, numbers, strings and string formatting with f-strings.
• Input and output with input() and print().
• Conditions: if, elif, else.
• Loops: for, while, range(), break and continue.

marks = int(input("Enter your marks: "))
if marks >= 75:
    print("Distinction")
elif marks >= 40:
    print("Pass")
else:
    print("Try again")

Mini project: a number guessing game.

Days 11 to 20: data structures

• Lists, tuples, sets and dictionaries, and when to use each.
• Looping over collections, slicing, and list comprehensions.
• Common methods: append, sort, get, items.

scores = {"Asha": 82, "Ravi": 67, "Meera": 91}
toppers = [name for name, s in scores.items() if s > 80]
print(toppers)  # ['Asha', 'Meera']

Mini project: a contact book stored in a dictionary.

Days 21 to 30: functions, modules and errors

• Writing functions with parameters, default values and return values.
• Importing modules from the standard library: math, random, datetime, os.
• Handling errors with try and except.
• Reading and writing text, CSV and JSON files.

Mini project: an expense tracker that saves entries to a CSV file and prints a monthly total.

Days 31 to 40: object-oriented programming

• Classes and objects, __init__, attributes and methods.
• Inheritance and when it is (and is not) a good idea.
• Dataclasses for simple data containers.

Mini project: a library management system with Book and Member classes.

Days 41 to 50: working with the outside world

• Installing packages with pip and keeping a requirements.txt.
• Calling web APIs with requests and handling JSON responses.
• Automating boring tasks: renaming files, sending reports, cleaning spreadsheets.
• Writing simple tests with pytest.

Days 51 to 60: choose a direction

Now pick the path that matches your goal and build one bigger project:

Five habits that make you learn faster

1. Type the code, do not copy it. Typing builds memory and you will notice details.
2. Read error messages from the bottom up. The last line usually tells you exactly what went wrong.
3. Use Git from week one. Push every mini project to GitHub; it becomes your portfolio.
4. Explain your code out loud. If you cannot explain a line, you do not understand it yet.
5. Solve small problems daily. Sites with beginner coding exercises help you practise logic.

Common beginner mistakes

• Tutorial hopping: switching courses every week instead of finishing one and building.
• Ignoring indentation: Python uses indentation to define blocks. Use four spaces consistently.
• Mutable default arguments: never write def add(item, items=[]); use None and create the list inside the function.
• Installing packages globally: use a virtual environment for each project.

Ready for interviews?

Once you are comfortable with the topics above, practise with our Python interview questions, with clear answers you can explain in your own words.

Frequently asked questions

Can I learn Python in one month?

You can learn the basics in a month with daily practice. Becoming job-ready usually takes three to six months, because you also need a specialisation such as data analysis, web development or testing.

Is Python good for non-IT students?

Yes. Many commerce, science and mechanical graduates learn Python to move into data analytics or automation. It is one of the most common first languages for career switchers.

Do I need to be good at maths to learn Python?

No. Basic arithmetic is enough for general programming. Data science and machine learning need more statistics, which you can learn alongside.

Python 2 or Python 3?

Python 3. Python 2 reached end of life in 2020 and should not be used for new learning.

Continue with our Python tutorials, or see which IT career path fits you best.