How long does it take to learn Python? (2024 Updates)

The answer depends on several factors. The good news: probably less than you think if you take the right approach. Let’s dive in …

Everybody has different goals, and everyone is working in a different scenario, so the real answer might be much different for each person. Consider the following:

What are you learning Python for? For a university class, for an engineering role, to become a data scientist, or as a hobby?

Where is your starting point? Do you know programming fundamentals or another language or are you starting from scratch?

How much time can you devote to practice? One hour per day? 40 hours per week?

If you’re looking for a general answer, here it is: If you just want to learn the Python basics, it may only take a few weeks. However, if you’re pursuing a career as a programmer or data scientist, you can expect it to take four to twelve months to learn enough advanced Python to be job-ready.

The estimates above come from our students who have taken our Python fundamentals course, and those who have finished our Data Science with Python career path.

This article will answer some of the most common questions beginners ask about learning Python, like the following:

• Does it make sense to learn Python in 2024?
• Is Python hard to learn?
• Can you teach yourself Python?
• Why should one learn Python?
• How can you learn Python faster?

Is learning Python worth it in 2024?

Yes. From a career outlook, financial return, and versatility perspective, learning Python is certainly worth it.

Demand for Python skills is High

In 2024, Python's importance in the tech industry is indisputable, particularly in fields like machine learning and artificial intelligence, where it's the language of choice for many. Its usage has seen a significant 22.5% year-over-year increase, reflecting its widespread adoption across various industries. Professionals proficient in Python are highly sought after, with the machine learning job market alone projected to reach \$31 billion by 2024. Python skills not only open doors to diverse and lucrative career opportunities but also enhance overall employability. With Python's applications spanning multiple roles—from data analysis to software development—learning this versatile language is an invaluable investment for any tech-focused career in today's evolving job market.

Lucrative Salaries

Careers that require Python skills can earn salaries well over $100,000 per year in the United States. Here’s a list of jobs requiring Python programming knowledge — and their U.S. salaries:

• Entry Level Data Analyst: \$55K–\$83K (become one here)
• Data Analyst: \$66K–\$103K (become one here)
• Data Engineer: \$103K–\$152K (become one here)
• Data Scientist: \$130K–\$190K (become one here)
• Python Developer: \$89K–\$128K
• Deep Learning Engineer: \$118K–\$181K
• Machine Learning Engineer: \$124K–\$186K
• Software Engineer: \$113K–\$174K

Incredible Versatility

There's an inside joke in the Python community that Python is the second-best language for everything. Of course, what’s best is subjective, but Python is incredibly flexible. It’s the most commonly used language for data science and machine learning. One reason for its widespread popularity is that it’s one of the easier languages to learn and use when working with data. And, fortunately for employers and data scientists alike, it doesn't require years of study to master.

How Long Does It Really Take to Learn Python?

As we mentioned before, the answer to this question depends on your goals. Python isn’t just a programming language — it’s a tool, and you learn how to use it in the context of the problems you're trying to solve. Here are some scenarios …

A Marketer Who Wants a Slight Edge

If you're a marketer who'd like to analyze Google Analytics data more rigorously, you could learn fundamental Python syntax and the required pandas techniques in a matter of weeks. This wouldn't make you a job-qualified Python developer or data analyst, but it would be enough to solve your problem.

Seeking a New Data Science Career

If you're learning from the beginning and are looking for full-time work using Python, you can expect to spend at least a few months studying part-time. How many months will depend on the job you're looking for. Working through our Data Analyst in Python course path, for example, would get you ready to apply for jobs as a Data Analyst. Most learners take at least three months to complete this path. To be clear, though, you could spend a lifetime learning Python. There are hundreds of libraries, many of them regularly improving and evolving, and the language itself also changes over time. It doesn't take too long to become capable of solving problems with Python, but to master Python means continually learning and growing over the course of your career.

Exploring Web Development

If you're keen on web development and want to learn Python's role in it, our Python Fundamentals for Web Development course path is a great place to start. In a matter of weeks, you'll grasp Python fundamentals tailored for web development, work with numerical and text data, make API calls to the web, and build your own projects.

Can You Teach Yourself Python?

Yes, it's very possible to learn Python on your own. There are many learning resources available on the web to help you learn Python for everything from web development to artificial intelligence. Here at Dataquest, we've helped thousands of students learn Python and get jobs in data science, all on their own schedule and from the comfort of their own homes. Teaching yourself Python does take time, though. You also have to be sure that you're writing code and applying what you learn in real-world scenarios, rather than just watching lecture videos and answering multiple-choice questions. Taking the right approach to learning Python can also be the difference between success or failure when you're learning through self-study.

Is It Hard to Learn Python?

No, Python isn’t hard to learn for most people. In fact, Python is considered one of the easiest programming languages to learn. While anyone can learn Python programming — even if you've never written a line of Python code before — you should expect that it will take time, and you should expect moments of frustration.

Do I Need to be Good at Math to Learn Python?

No, you don’t need to be good at Math to learn Python. While the conventional wisdom has long been that having natural talent for mathematics makes learning programming easier, studies suggest that's not the case. In fact, if you've learned a foreign language, you might actually find it easier to learn Python than a math person would. We've seen learners from a variety of backgrounds work through our courses and succeed, so don't let your own background stop you from giving Python a try!

Why You Should Learn Python

Here are three reasons you should start to learn Python for your work life, personal life, or both …

1. You Can Automate Tasks

Python is a versatile programming language, which means there's something in it for everyone. Once you learn Python, you'll be able to do the following:

• Work with massive datasets easily.
• Scrape data from the web and access APIs
• Use it to power-up your work in Excel
• Automate all sorts of tasks.

Learning to automate tasks on your own can be incredibly powerful because your time is valuable. Let the robots send your emails and fetch data from the internet. And if you're feeling extra ambitious, you can even create the next coffee delivery app so you can easily get your caffeine fix every morning. (That may take a little bit more work, though.) More likely, you'll be able to start finding creative solutions for the people and companies you work for. When you learn Python, you’re literally learning a new language that is built on identifying and predicting patterns. As you find patterns, you'll be able to communicate those findings in a way that makes a big impact in your industry and the world.

2. You Can Impress Your Boss

Learning Python is also a great way to impress at work (or get that promotion you've been vying for). To those who can't code, the ability to program sometimes seems like a superpower. Programming gives you the ability to leverage your knowledge and multiply your output. With it, you may be able to get ten times as much work done in the same amount of time. As we mentioned above, when you learn Python, you'll be able to gather data quickly and translate the numbers to real-world solutions. For example, in a business setting, you could add value by doing things like web scraping, sending emails automatically, or even analyzing supply chain production to find missed opportunities for cost savings or quality control. If your boss has mentioned that understanding data science could help you move toward your career goals, a self-paced Python course that helps you learn Python online could be the perfect way to balance a data career and personal development.

3. It Creates Exciting New Career Opportunities

If you're looking for an entirely new career or maybe aren't feeling fulfilled in your current job, you've come to the right place. Demand for Python developers, especially in the data science field, has never been higher. Data science is rewarding, and it pays exceptionally well. These opportunities are sometimes available remotely, so you can work from anywhere for a U.S. company without being tied to a U.S. location. Data science is a relatively new field, and with that freshness comes modern hiring practices. An emphasis on understanding your craft and being able to drive results is slowly beginning to trump the need for a four-year degree and an office down the hallway. We've seen many of our alumni find rewarding careers (either in an office or remotely) after completing our Data Science paths. In fact, we’ve structured our courses to help you leave with a leg up on the job hunt. You'll have experience working with real-world data and a portfolio full of finished data science projects. For human resources offices evaluating your resume, this can be far more important than your degree.

4. Build the foundation to learn AI and Machine learning

In the age of generative AI, Python's significance in 2024 cannot be overstated. It serves as the foundation for AI and machine learning, with key frameworks like TensorFlow and PyTorch relying on Python for development and innovation. Its effectiveness in automating tasks and analyzing large datasets is crucial for training AI models. Python's seamless integration with AI tools and its widespread use in AI research makes it indispensable for anyone involved in this field. The language's extensive community support, resource availability, and versatility across various domains, including web development and data science, further enhance its importance. Additionally, understanding Python is vital for navigating the ethical and governance aspects of AI, ensuring responsible development and application of AI technologies. Thus, Python's role extends beyond mere programming, becoming a crucial tool for shaping and understanding the future of AI.

How Can I Learn Python Faster?

If you're learning Python on your own, creative time-management habits will be very helpful — especially if you want to learn Python sooner rather than later. While five hours may seem like a lot to fit into your already-busy weekly schedule, it's very achievable for someone working a full-time job — or with a full calendar of school commitments. Here are a few ways you might find the spare hours …

1. Set Your Alarm Clock for 30 Minutes Earlier

The best time you can set aside to learn Python each day is in the morning. Biologically, your best, most productive time is around the first two hours of each day. You don't want to sacrifice any sleep, but you may want to get to bed earlier so you can practice a bit before work. It's a commitment, for sure. But, if you set aside your clothes the night before, have your coffee ready to go, and already know what aspects of Python you are going to work on, it's a bit easier. Tell yourself that you can't look at your phone or emails until you dedicate 30 minutes to learning Python, and make it a habit! The time it saves and the advancement in your career will be worth the extra effort. As an added benefit, you'll feel extra healthy when you get a productive head start on your day.

2. Log Off Your Evening Netflix Habit

If you already wake up at 5 am to get to work each day, waking up earlier may not be the best option for you. In that case, you might take the first two hours when you get home from work each day to learn Python. If you’re overwhelmed by the idea of finding two hours between your commute, gym, dinnertime, and downtime, spend a week really looking at how you spend your evenings. Write down exactly what you did each day this week:

• How much time did you spend on Netflix?
• Did you waste a few hours on social media?
• Did you get lost scrolling through Amazon?
• Can you prepare your meals on Sunday to cut back on weeknight cooking?

Leave the Fortnite battle bus behind for one night, and remember those reasons you wanted to learn Python to begin with. Or, you can bookend your day with data science. After reserving your morning hours for your most important projects, you can review your work or participate in forums before bed to help your mastery.

3. Take Advantage of Quiet Saturday Mornings

We've seen that practicing every day is the best way to master Python as quickly as possible. It's important to be consistent, but sometimes life gets in the way. That's what weekends are for. If you're completely booked from 5 am to 6 pm every day, you can keep yourself on track by putting in extra hours on the weekend. Plus, this is a great way to find uninterrupted time in a space you've dedicated just for learning Python. One thing to keep in mind: studying two hours a day is far better than ten hours in one day on the weekend. If you have other commitments during the week, even ten minutes each morning will make a difference compared to only looking at Python materials once a week.

4. Join A Community of Python Programmers

Joining a community of Python developers will help you stay on track toward your goal to learn Python. Python meetups are fairly common on Meetup.com, and you'll get recommendations from other members of these groups. Additionally, Dataquest's students use our Members community to network and discuss Python problems, troubleshooting, and data science portfolio projects. If you carve out a few minutes each day for networking, you'll complete your coursework with a new skill and a new network as you enter the job market!

5. Find a Project You Are Interested In Working On

The best way to learn how to complete data projects is by building data projects. Dataquest learners spend their time working through real-world data challenges that teach learners to combine multiple skills and tools to solve a problem or accomplish a task. Projects created out of genuine curiosity stand out, as opposed to those made just for the sake of it. Take your time to find a topic that captures your attention. A great starting point is to explore various datasets. Some resources to find interesting datasets :

• Data.gov — contains government data.
• /r/datasets) — a subreddit that has hundreds of interesting datasets.
• Awesome datasets — a list of datasets, hosted on GitHub.
• 17 places to find datasets — a blog post with 17 data sources, and example datasets from each.

Or you can choose from hundreds of guided projects on the Dataquest learning platform.

6. Compete on Kaggle

Kaggle hosts data science competitions. Signing up is free, and members submit Python scripts to find the best model for a given dataset. You'll find a lot of competitions with objectives similar to the guided projects in your Dataquest portfolio. If you're one of those Fortnite fans we mentioned above, collaborating with other Dataquest students on Kaggle competitions can help replace some of your game time in a way that helps you learn Python without losing that competitive fix!

7. Read Python Books

There are many guides written for both general and specific applications of Python, and we've highlighted a few that you can read without paying a dime, as long as you don't mind scrolling through digital copies. You can use these books to supplement your Dataquest courses, where you'll learn this information and more, specifically tailored to data analysis and data science. This is perfect for students who want real-world context for the skills they learn in our data science paths.

Ready to Learn Python at Your Own Pace?

Some people may boast that they've learned Python in only a month, while others take several years to reach the level of mastery that they're looking for. Be gentle with yourself, and allow yourself the time to learn Python at the pace that works best for you. It's better to take a little extra time than to rush through everything without building a solid foundation in the fundamentals! Having great instruction in the basics of Python will help you automate your life and work, excel in your current job, or even allow you to start a new one.

The most import thing is to get started. Try our Python Fundamentals course now.