How Long Does it Take to Learn Python? (And Land a Gig) 

Python is a popular and beginner-friendly coding language used for web development, data science, scripting, and automation.

Learning Python doesn’t come with a definite time frame. It depends on several important factors, from your existing coding skills to your learning objectives.

In this guide, we’ll look at all those factors and help you figure out how long it takes to learn Python — and land your first projects.

Table of Contents

How Long Does it Take to Learn Python?
Should You Learn Python in 2025?
How Long Does it Take to Learn Python Basics?
  1. Understanding Python syntax
  2. Data types and variables
  3. Control structures
  4. Functions and modules
  5. Basic data structures

Is Learning Python Challenging for Beginners?
How Long Does it Take to Learn Advanced Python?
Can You Learn Python on Your Own?
How Long Does it Take to Learn Python and Land a Job?

Top Steps to Master Python Faster
  1. Set clear goals and map out the learning path
  2. Learn fundamentals and syntax basics
  3. Start working on simple projects
  4. Learn libraries and frameworks
  5. Join the Python community and start working on real-life projects

FAQs
  Is two hours a day enough to learn Python?
  Is one year enough to learn Python?
  Can I learn Python in a month?
  Is Python easier than Java?
  Is Python harder than C++?
  Is Python enough to get a job?
  How to learn Python quickly?
  How fast can you become a Python developer?

Conclusion

How Long Does it Take to Learn Python?

Overall, it typically takes 2-6 months to learn the basics of Python programming and 6-12 months to master advanced concepts. However, the specific timeframe will depend on:

• Your experience with other programming languages (the more skilled you are in coding, the faster you’ll learn Python).
• Your goals for learning Python (e.g., to get a job vs. to automate some basic tasks).
• How much time you can commit to exploring Python (e.g., full-time learning vs. mixing it with other commitments).
• Your learning method (guided learning can help you move faster compared to self-learning).

While Python is considered a beginner-friendly language, it still requires constant attention and practice. To master it faster and start getting paid projects, use Mimo’s interactive Python Career Track.

Should You Learn Python in 2025?

Python remains one of the most popular programming languages in 2025. According to the TIOBE Index, it has been consistently ranked as one of the top coding languages due to its simplicity and versatility.

 As a result, it is the go-to tool for a number of tasks, such as:

• Developing web applications  
• Performing data analysis
• Automating repetitive tasks
• Creating machine learning models
• Game development
• Scripting for system operations

The demand for Python developers is also high, with job postings frequently highlighting Python as a required skill, particularly in fields like data science, machine learning, web development, and automation. 

According to the U.S. Bureau of Labor Statistics, the employment of software developers is projected to grow 25% from 2022 to 2032, much faster than the average for all occupations.

Jobs that require Python programming are also well-paying—for example, the average salary of a Data Scientist is $157K/year in the US in 2024.

How Long Does it Take to Learn Python Basics?

For someone who is learning Python from scratch, mastering the basics usually takes about 2-3 months. 

This estimate assumes a consistent study schedule of around 5-10 hours per week. 

Here are the key topics you’ll explore when covering Python basics:

1. Understanding Python syntax

The first step in learning Python code is understanding its syntax, which is straightforward and resembles plain English. 

Python’s syntax rules are simple, making it an ideal first programming language. Beginners should start by learning:

• Indentation: Python uses indentation to define blocks of code. This helps keep the code clean and readable.
• Basic commands: Understanding basic commands like `print()`, which outputs text to the screen, and `input()`, which takes user input.

2. Data types and variables

Learning about data types and variables is the crucial next step. Python has several built-in data types, including:

• Integers and floats: Used for numerical data.
• Strings: Used for textual data.
• Booleans: Used for true/false values.

3. Control structures

Control structures help you make decisions and perform repetitive tasks in programming. Key concepts include:

• ‘If’ statements: Used to execute code based on conditions.
• ‘For’ and ‘While’ loops: Used to repeat code multiple times. For example, a `for` loop can iterate over a sequence, while a `while` loop continues as long as a condition is true.

4. Functions and modules

Functions allow you to write reusable blocks of code, making your coding more organized and efficient. Key points to learn include:

• Defining functions: Using the `def` keyword to create functions.
• Calling functions: How to execute a function once it’s defined.
• Parameters and return values: How to pass data to functions and get results back.

Modules are collections of functions and variables that you can import into your programs. 

Beginners should practice importing and using Python’s standard library modules, such as `math` for mathematical operations and `datetime` for date and time manipulation.

5. Basic data structures

Python offers several data structures that are critical for storing and organizing data. Beginners should learn about:

• Lists: Ordered collections of items that are mutable (can be changed).
• Dictionaries: These are collections of key-value pairs useful for storing data that needs to be quickly retrieved by key.
• Sets and tuples: Sets are unordered collections of unique items, while tuples are ordered collections of items that are immutable (cannot be changed).

Is Learning Python Challenging for Beginners?

Thanks to its readable syntax and comprehensive community support, Python is considered one of the most beginner-friendly programming languages. 

However, just like other programming languages, it still requires dedication and effort to learn.

One common problem is that many courses and learning materials make Python look more complicated than it has to be (and more theoretical).

It’s best to jump into practical projects and learn by doing rather than spending months on theory alone.

Mimo’s Python Career Path tackles this issue by offering an interactive and highly practical learning curve. You’ll get a mix of gamified learning elements, practical assignments, and coding challenges—and build a real-life portfolio.

At the same time, the more experience you have in general coding, the easier it’ll be for you.

For example, those who already know some front-end (e.g., HTML and CSS) and back-end (e.g., Java and PHP) languages will find it easier to learn Python.

How Long Does it Take to Learn Advanced Python?

Learning advanced Python typically takes 10-15 hours per week for an additional 6-12 months (roughly 500 hours) after mastering the basics. 

At this stage, look for opportunities to create real-life projects using your Python skills. You can find these opportunities on platforms like GitHub, Kaggle, or by contributing to open-source projects.

Platforms like Mimo also offer an opportunity to build real-life projects for your portfolio.

Here are the key advanced Python concepts you’ll come across:

• Object-oriented programming (OOP): Classes, objects, inheritance, and polymorphism.
• Advanced data structures and algorithms: Non-linear data structures, graph algorithms, sorting and searching algorithms.
• Web development frameworks: pre-defined collections of code and rules like Django, Flask, and others.
• Data analysis and visualization libraries: Pandas, NumPy, Seaborn and others.
• Machine learning and artificial intelligence: Scikit-Learn, TensorFlow, and PyTorch, and other models and frameworks.
• Asynchronous programming: Asyncio to write asynchronous code and Concurrent.futures for concurrent execution and multi-threading/multiprocessing techniques.
• Database interaction: SQLAlchemy and Django ORM for database interactions in web applications.

Can You Learn Python on Your Own?

It is absolutely possible to learn Python on your own. 

There are a host of free resources and materials available to help you in your learning journey. These materials range from books, blogs, and forums to podcasts, videos, free online Python courses, and bootcamps.

It is way better, however, to learn Python as a programming language through guided learning for a simplified and accelerated experience.

There are also various Python courses with certificates, including Mimo’s Python Career Track and Python course. Such courses help you learn faster and get a professional certificate to show to your potential employers and clients.

How Long Does it Take to Learn Python and Land a Job?

Learning Python to a level where you can get a job (or a freelance gig) varies depending on several factors. Overall, it can take anywhere from 3 to 12 months. 

• If you’re starting from scratch and looking to find a job focused on Python, expect to spend at least 6-12 months learning and building a portfolio.
• If you already have prior programming experience and want to upgrade your skill set, the time might be reduced to 1-4 months.
• Similarly, if you’re working in a related niche (e.g., marketing), you might need 1-3 months to cover the most basic concepts.

Top Steps to Master Python Faster 

Exploring Python can be straightforward and fast if you follow certain best practices. Below, we share some of the top steps you need to take:

1. Set clear goals and map out the learning path

Always start with your goals. 

Are you looking to find a job focused on Python? Or are you trying to upgrade your coding skills and get a promotion? The answer will define the learning scope and timeline. 

Setting clear goals provides direction and boosts your motivation, as Python is a broad and diverse language. 

• Define your purpose: For example, if you aim to become a data scientist, focus on learning libraries like Pandas, NumPy, and Scikit-Learn. If you simply want to automate daily tasks, learn how to write scripts and explore web scraping.

• Find your passion: Engage with Python projects or areas that genuinely interest you. For instance, if you have a passion for gaming for instance, learn Python to develop simple games using Pygame. 

• Set milestones: Break down your goal into smaller, manageable milestones. For example, aim to complete an introductory course within a month, build a simple project within two months, and contribute to an open-source project within six months.

2. Learn fundamentals and syntax basics

Before diving into complex projects, learn Python’s fundamentals and syntax. Explore the following concepts:

Basic syntax:  Learn how to write and execute basic Python code. This includes understanding how to use indentation, comments, and basic commands.

• Example: Practice writing simple programs that use `print()` to display messages or `input()` to take user input.

Data types and variables: Get familiar with Python’s different data types (integers, floats, strings, booleans) and learn how to declare and use variables.

• Example: Write programs that perform arithmetic operations or manipulate strings.

Control structures: Learn how to use control structures like if statements and loops.

• Example: Write a program that uses a `for` loop to iterate over a list of items or an `if` statement to make decisions based on user input.

Functions: Understand how to define and call functions and pass data to them.

• Example: Create a function that takes two numbers as arguments and returns their sum.

Remember: Don’t get stuck on theory and put your knowledge into practice—for example, by writing small programs to reinforce your understanding.

3. Start working on simple projects

Once you have a grasp of the basics, start working on simple real-life projects to build your portfolio and learn faster.

This hands-on approach will solidify your knowledge and boost your confidence. For example, you could build a:

• Calculator
• To-do list app
• Web scraper

You can also use platforms like Mimo to tackle integrated coding challenges and build projects, making it a holistic learning experience.

4. Learn libraries and frameworks

Python’s strength lies in its extensive libraries and frameworks, which can speed up development and add powerful capabilities to your projects. 

Frameworks and libraries are essential tools in programming that help streamline the development process. 

• Libraries are collections of pre-written code you can use to perform common tasks, such as data manipulation or web requests, without writing the code from scratch. 

Examples of popular Python libraries are NumPy (for numerical computations), Pandas (for data manipulation), and Requests (for handling HTTP requests).

• Frameworks are more comprehensive than libraries—they provide a foundation with a specific structure and guidelines to build applications. Django and Flask are popular Python framework examples for web development.

5. Join the Python community and start working on real-life projects

There are many communities you can join to learn Python programming. They consist of developers of various proficiency levels who share challenges, progress on projects, motivation, and insights with each other. 

As a member of a community, you can ask questions, share knowledge, and learn from the knowledge and experience of others. These communities could be physical, like the local computer science student community in a school near you. They could also be virtual, such as PySlackers, Real Python, or HackerEarth.

Learning platforms like Mimo also have their private coding communities.

For a more detailed breakdown, check out our comprehensive guide on how to learn Python.

FAQs

Is two hours a day enough to learn Python?

Dedicating 2 hours a day to learning Python is a great start! 

With consistent effort, you can make visible progress and understand the basics within a few months.

Practice regularly and apply what you learn through small projects and coding exercises.

Is one year enough to learn Python?

Overall, one year is plenty of time to learn Python. 

Within this timeframe, you can cover both the basics and advanced topics, depending on your dedication and learning pace. 

You can also build a strong portfolio of projects to showcase your skills to potential employers.

However, the result will depend on how much time you dedicate to Python each week and how much you practice.

Can I learn Python in a month?

Learning Python in a month is challenging but possible, especially with prior programming experience.

Focus on the fundamentals, practice daily, and use intensive learning resources. While you probably won’t master advanced concepts, one month might be enough to cover Python basics.

Is Python easier than Java?

Many find Python easier to learn than Java thanks to its simpler syntax and readability. Python’s design emphasizes ease of use and quick development, making it a popular choice for beginners.

However, both languages have unique strengths and are worth learning—depending on your goals.

Is Python harder than C++?

Python is generally considered easier to learn and use than C++. 

Python’s syntax is more straightforward and user-friendly, while C++ requires a deeper understanding of concepts like memory management and pointers. 

For beginners, Python is often a more accessible starting point.

Is Python enough to get a job?

Python alone might not be enough to get a job, but it creates a powerful foundation for getting attractive offers. It’s best to combine it with other programming languages and data analysis skills.

How to learn Python quickly?

To learn Python quickly, set clear goals, use interactive learning platforms, and practice regularly.

It’s important to use a learning platform to cover the basics. And it’s even more important to code and practice as much as you can.

How fast can you become a Python developer?

Becoming a Python developer can take anywhere from a few months to a year, depending on your learning pace and prior experience. 

Consistent practice, building projects, and engaging in coding challenges will help you move faster.

Conclusion

The time it takes to master Python varies widely depending on your goals, current skills, and learning methods. Here’s a quick summary:

• It typically takes 2-5 months to learn Python basics.
• You will also spend an additional 6-12 months to master advanced Python.
• You might also need 3-12 months to land a paid gig.

Make sure to set clear goals, explore the fundamentals, and constantly apply your Python skills in practice.

Are you ready to give it a try?

Try Mimo’s Python career path for free! Acquire all essential skills faster and easier and build a competitive real-life portfolio.