How Long Does It Take to Learn Python? A 6-Week Plan

Key takeaways:

• Most beginners can learn Python fundamentals in about six weeks at one to two hours a day.
• Your goal, schedule, coding background, and consistency all shape how fast you learn.
• The plan covers one core topic each week, starting with variables and ending with object-oriented programming.
• Getting job-ready or moving into data science takes longer, because you’ll add projects and new tools on top of the basics.

When it comes to learning Python, like all skills, it can be quite hard to determine how long it takes to learn it. Lots of factors come into play, such as how good you want to become, how much time you can commit, your previous experience with similar topics, and so on.

Whatever your timeline, it’s a skill worth the effort. In the 2026 Stack Overflow Developer Survey, 58.0% of respondents said they use Python, ranking it fourth behind JavaScript, SQL, and HTML/CSS.¹

Here’s a plan to learn Python in six weeks.

How long does it take to learn Python? It depends on your goal

Before we get to the plan, here’s how your goal shapes the timeline. Following the plan in this guide, six weeks at one to two hours a day covers the fundamentals. That adds up to roughly 42 to 84 hours of focused practice.

Can you learn Python in a day, or in 12 hours? You can write your first working script in a single afternoon, but building fundamentals that stick takes steady practice over several weeks.

What affects how fast you learn Python

Your timeline depends on a few things:

• Your goal shapes the finish line, since simple automation scripts take less time than web apps or data analysis.
• Your weekly hours set the pace, so one to two hours a day moves faster than an hour a week.
• Your coding background helps, because loops and functions will feel familiar if you’ve programmed before.
• Your consistency matters most, since short daily sessions add up faster than occasional marathons.
• Your learning resource saves time when it gives you a clear order to learn things in.

Notice that age isn’t on the list. Whether you’re 20 or 60, steady practice matters far more than when you start.

How to learn Python in six weeks

Imagine learning to drive. Do you think you could learn to drive a car without knowing the difference between the accelerator and the brakes? How about knowing what red means at a traffic light, or which side of the road to drive on?

Similarly, mastering Python depends very heavily on you having a solid understanding of the basics. In fact, without them, you don’t have anything.

Here is a list of the fundamental building blocks of Python programming. If you know these topics, then you can say you know how to program in Python:

1. Variables
2. Numbers and arithmetic operations
3. Strings and string manipulations
4. Logic and conditional flow
5. Data structures (lists, tuples, sets, and dictionaries)
6. Loops (‘for’ loops, and ‘while’ loops)
7. Functions
8. Object-oriented programming (classes and objects)

This list is also a good way to think about the 80/20 rule in Python. A small set of core concepts covers most of the code you’ll write day to day. Learning these well gives you the biggest return on your time.

So, let’s get to the plan.

The six-week plan for learning Python

Week 1: variables and numbers

The first thing you will learn in Python is how to create variables. They are fundamental to everything we do in programming. Fortunately, they’re also really easy, which makes them a great place to start.

Variables are essentially little boxes in your programs that can store data. You can give the variables names, store data inside them, and get that data back later when you need it. This data can be simple like numbers and text, or it can be complex, like entire webpages and spreadsheets.

One of the simplest types of data is numerical data. Numbers are important for many things in programming. Whether you’re tracking website users, processing payments, or computing important statistics for data analysis, numbers are everywhere.

So, here are the topics I recommend you learn this week:

• How to store numbers in variables and access the values stored in them.
• How to use variables to perform mathematical operations on numbers (+, -, *, /, %, //).
• How to print the value of a variable to the screen using Python’s print() function.

These fundamental building blocks will form the foundation of everything there is to come.

You can explore these topics and everything else covered in this blog post in Python for Beginners course on Udemy.

Recommended Udemy course

Python for Beginners: Learn Python Programming (Python 3)

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Week 2: strings and string manipulation

Strings, in coding terms, are simply pieces of text. Strings are used to represent usernames, email addresses, messages, URLs, names of cities in a dataset, and other kinds of textual information.

You can print strings, stick them together, cut certain pieces out of them, replace certain pieces with other pieces, and so much more.

In this week, aim to learn how to create strings in Python, and the various manipulations you can do with them.

Start by learning:

• How to ask the user a question and save their input in a variable.
• How to add two strings together.
• How to convert a string to all uppercase/lowercase/title case.
• How to strip off whitespace from a string.
• How to replace a certain character in a string with another.

The following blog will help you understand 12 Ways to Check if a Python String Contains a Substring.

Week 3: logic, conditional flow, and while loops

In this week, you will use your knowledge of variables, numbers, and strings, to learn how to make your Python programs think.

Logic and conditional flow allow you to control how your programs run. They allow you to decide whether certain pieces of code will run or not based upon whether a certain condition is true or false.

While it may sound complicated, it really isn’t. Being able to create a program that can decide what to do based on certain conditions opens a whole new world of possibilities.

When learning logic, focus on the following topics:

• If statements (if, elif, else)
• Comparison operators (>, <, ==, !=, >=, <=)
• The Boolean data type (True, False)
• Conditional operators (and, or, not)

Try to put these topics together to build a little program. For example, try building a program that will ask a user for their age, and then decide whether they can watch a certain movie or not.

Logic goes hand in hand with a very powerful concept called the while loop. So, for this week try to master while loops too.

How do they link? Well, logic allows you to say that a certain piece of code should run if a certain condition is True. While loops, on the other hand, allow you to run a piece of code while, or as long as, a certain condition is True.

The link between the two is that a condition is evaluated to be True or False, and then something happens based on that evaluation. In the case of logic, the action happens once. In the case of a while loop, the action happens continually, as long as the condition is True.

For this week, try to learn the following additional topic:

• While loops

Week 4: data structures and for loops

Up until now, you have been using variables that contain a single piece of data: one number or one string.

Data structures allow you to put multiple pieces of data together into one variable. Think of storing a whole bunch of numbers, a whole bunch of strings, or even a mixture of both.

There are two main data structures in Python: lists and dictionaries. There are others, of course, but dictionaries and lists are probably the two most common ones.

Lists allow you to store data in a certain order, like so:

my_numbers_list = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]

my_numbers_list = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]

A dictionary allows you to store data and store it under certain “keys.” In the example below, “name,” “class,” and “score” are keys, and each has associated values.

student_dictionary = {
               'name': 'Sarah',
               'class': 'Python for beginners',
               'score': 100
}

student_dictionary = {
               'name': 'Sarah',
               'class': 'Python for beginners',
               'score': 100
}

For-loops link well with data structures like how while loops link well with logic. They allow you to repeat an action for every item in a data structure.

In this way, for-loops allow you to write a single piece of code and repeat its action (or set of actions) potentially thousands of times.

This week, try to master the following concepts:

• Lists
• How to add items to a list
• Extracting elements from a list
• Replacing elements in a list
• Dictionaries
• Adding entries to a dictionary
• Extracting values from a dictionary based on their key
• Replacing values in a dictionary using keys
• Using a for loop to iterate over a list
• Using a for loop to iterate over a dictionary

For loops are some of the coolest features of programming languages. They really put the power of your computer right at your fingertips.

Week 5: functions

In past weeks, you will have already learned how to use many functions. Perhaps you used a function to make a string all uppercase, or perhaps you used a function that will add an item to a list.

But this week, you will learn how to create your very own functions. This is where things get exciting.

A function is a piece of code that will perform a certain action (function) based on the inputs you give it, and maybe even return some output.

For example, when we use the print() function, we give the print() function a certain piece of text to print to the screen.

The print() function will take the input you give it, perform some rather complicated actions behind the scenes, and then make text magically appear on the screen.

Similarly, your functions will take inputs, do something, and give results.

This is very useful for making your code easier to read and for breaking your code up into manageable, well-defined chunks. These are invaluable skills to have as your projects become larger and more sophisticated.

So, for this week, try to learn the following topics:

• How to define a function
• How to give inputs to a function
• The difference between an argument and a parameter
• How to set default parameters
• How to return a value from a function

Week 6: object-oriented programming (OOP)

You are doing great and have come such a long way! But sure you want to take your Python skills to the next level. It’s time for you to learn object-oriented programming.

As the word “oriented” hints in its name, object-oriented programming is really just a new way of approaching programming. It’s a new orientation, if you will.

Sequential programming treats a program as a list of commands that you execute in sequence. Object-oriented programming, instead, is all about creating and using objects.

So, what are objects? Well, objects can be anything. We use objects to model concepts that are useful to our programs. We can model users; we can model buttons; anything you can think of can be an object and modeled in your code.

Python supports object-oriented programming. Its official documentation says “Python classes provide all the standard features of Object Oriented Programming.”² You can still write useful scripts without classes.

Classes are still worth learning. By creating objects and modeling their behavior, you can build really sophisticated and powerful programs in a relatively straightforward way. That’s true once you get the hang of it, at least.

So, the topics I suggest you learn in this final week are:

• The difference between objects + classes, and how they relate.
• How to create classes and objects.
• How constructors work in Python classes.
• How to define an object’s states using class variables and instance variables.
• How to define an object’s behaviors using methods.

And that’s it; you have now mastered the fundamental building blocks of the Python programming language! Congrats!

That said, it is quite a lot of content to cover. To help you along, pay attention to the tips below.

Two tips to help you succeed when learning Python

1. Practice every single day, even if it’s just for two minutes.

This tip cannot be emphasized enough. When learning something new or doing any significant piece of work, consistency is key. Something magical seems to happen when you keep at something consistently; it’s like your effort compounds rather than simply adds up.

To help maintain consistency, here’s a great tip from Stephen Guise’s fantastic book Elastic Habits:

Two minutes? Yep, if two minutes is all you can manage for today, then just do two minutes. The aim here is to stay consistent and keep coming back. Showing up every day matters more than natural ability.

This “Elastic Habit” strategy helps keep you consistent no matter how much time you have to learn. It allows you to rest but stay in the game when life gets in the way, and to have a daily “decent” goal. It also lets you really push yourself and “go in” when you have the motivation and time to do so.

2. Find a guided learning resource

There’s no need to reinvent the wheel. You’ll probably find your Python journey ends up being much faster and easier if you take advantage of the work of others. Learning from a guided learning resource will save you the frustration and hassle involved in piecing together disjointed information from many sources.

Can you learn Python on your own without a course? Yes, plenty of people teach themselves with free documentation, videos, and lots of practice. A guided resource simply saves you time.

Online courses have the structure of a book, the engagement of video, and content created by experts. You can also learn any time and any place, which is great for fitting your learning around your schedule and lifestyle.

Check out 100 Days of Code: The Complete Python Pro Bootcamp, created by Dr. Angela Yu. This course on Udemy covers all the fundamental topics mentioned above, and it will have you building lots of fun and memorable Python projects along the way.

Recommended Udemy course

100 Days of Code™: The Complete Python Pro Bootcamp

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What to learn after the six-week plan

Six weeks gives you the fundamentals. What you learn next depends on where you want Python to take you.

How long it takes to learn Python for a job

Getting job-ready takes longer than learning the fundamentals, because employers want to see what you can build. After the plan, spend your practice time on these steps:

• Build two or three projects you can share, like a script that automates a weekly task.
• Learn Git so you can track changes and share your code.
• Pick one specialty, such as web development, automation, or data analysis.
• Read other people’s code and solve small coding challenges.

There’s no fixed finish line here. Keep building until you can walk someone through your code and explain each choice, because that’s a good sign you’re ready to apply.

If you’re curious about Python job interviews, check out the 53 Python Interview Questions and Answers to Know in 2026.

How long it takes to learn Python for data science

Data science builds on everything in the six-week plan and adds a few new layers. Expect it to take longer than the fundamentals, since you’ll learn Python, data tools, and statistics side by side.

Once the basics feel comfortable, add these skills:

• Work with data tables using the pandas library.
• Create charts with a library like Matplotlib.
• Brush up on core statistics, such as averages, distributions, and correlation.
• Practice on real datasets that interest you, such as sports results or weather records.

The lists, dictionaries, and for loops from week four will show up in almost every project.

FAQ

Can I learn Python in a month?

Yes, a month at one to two hours a day gets you through most of the Python basics. That covers weeks one through four of this plan created by Udemy: variables, strings, logic, loops, and data structures. Functions and object-oriented programming take about two more weeks.

How many hours a day should I study Python?

Aim for one hour a day, and stretch to two when you have the time and energy. On busy days, two minutes still counts, because daily consistency keeps your progress moving.

Is Python hard to learn?

Python isn’t hard to learn for most beginners, because its code reads a lot like plain English. Like any skill, it takes practice, and each week of the plan builds on the last.

Can I learn Python with no coding experience?

Yes, you can learn Python with no coding experience, and the six-week plan in this guide created by Udemy is built for that. It starts with variables and adds one new concept each week.

Is Python still relevant in 2026?

Yes, Python is still highly relevant in 2026. In the 2026 Stack Overflow Developer Survey, 58.0% of respondents said they use Python.¹ You’ll find it in automation, web development, and data science.