Is Python Worth Learning? 9 Tips for Skilling Up in Python

If you’ve spent any time researching programming languages, you’ve probably come across the “Python is dead” argument more times than you can count. 

The reasoning rarely changes: it’s too “slow”, the market is “saturated with beginners”, or some newer, faster language is “about” to replace it (even if no one can say exactly when).

From our perspective at Upwork, we know that Python certainly isn’t dead. Because we continue to see it as one of the most widely used languages in the world, powering projects of all sizes, including web apps, automation scripts, data science workflows, and AI systems. 

So if Python is on your radar as a new developer and you want to know… is Python worth learning? 

The answer is a clear and resounding yes! And in this guide, we’re giving you a realistic look at why Python is more relevant than ever, plus nine practical tips for skilling up in 2026. 

Why Python is still worth learning in 2026

Despite the dramatic headlines, Python’s dominance is actually growing. And just last year, in 2025, it hit a 26.98% rating on the TIOBE Index, the highest any programming language has ever achieved.

With this in mind, here’s a quick look at why Python continues to win (and why it’s still worth learning).

It’s the language of AI

Python has become the go-to language for artificial intelligence and machine learning, making it essential for anyone who wants to work in one of tech’s fastest-growing areas. For example, major frameworks like TensorFlow, PyTorch, and LangChain are built primarily for Python, which means learning the language gives you direct access to the tools powering modern AI systems.

It has the fastest time to market

Python’s readable, straightforward syntax allows developers to build, test, and iterate quickly, which shortens the path from idea to product. A startup, for example, can create a functional web application prototype in a matter of weeks rather than spending months navigating more complex languages.

It has a massive ecosystem

Python has an enormous open-source ecosystem, offering libraries and frameworks for nearly every use case imaginable. For example, if you need to analyze a large dataset, you can use Pandas, and if you want to build a high-performance web API, you can use FastAPI. 

It works like glue

Python excels at connecting systems and automating workflows, making it ideal for streamlining repetitive tasks. For example, a single script can pull data from a CRM platform, generate a formatted report, and automatically email it to a team each morning without manual intervention.

It commands high salaries

The market demand for Python developers consistently exceeds supply, which means strong job security and competitive compensation. For example, on Upwork, Python regularly ranks among the most in-demand technical skills, reflecting its broad relevance across industries.

9 practical tips for skilling up in Python

So, you’re convinced Python is worth learning. Now what? 

The biggest mistake beginners make is getting stuck in the never-ending tutorial loop; watching video after video without ever building anything.

So to help you avoid that trap, here are nine actionable tips for skilling up as soon as possible. 

1. Start with automation projects

The best way to build real Python skills is to find a repetitive task in your own life and automate it. This could be organizing files on your computer, scraping a website for data, or creating a script to automatically reply to certain emails. 

Getting your hands dirty is the only way to make learning stick, and it also provides immediate, tangible results that keep you motivated.

2. Focus on one domain first

Trying to learn web development, data science, and AI all at once is a recipe for burnout. 

Instead, choose a path that you find the most interesting and try to stick with it for a few months. Here are a few solid starting points: 

• Web Development: Learn a framework like Django or FastAPI and build a personal blog, portfolio, or simple e-commerce site.
• Data Science: Master libraries like Pandas, NumPy, and Matplotlib. Find a dataset on Kaggle and clean it, analyze it, and present your insights. 
• AI/Machine Learning: Get comfortable with PyTorch or TensorFlow and try to build a simple image classifier, chatbot, or recommendation engine. 

The goal here is to build some momentum in one direction and figure out what you’re interested in the most (and what you’re naturally good at).  

3. Build a portfolio on GitHub

It’s not enough to just say you know Python; you need to show it. And you’ll need GitHub to do that. 

Make sure to document your projects with clear README files that explain what the project does, how to run it, and what you learned. This shows potential employers that you can not only write code, but you can also communicate effectively (which is a soft skill that’s becoming increasingly important).

4. Learn modern frameworks

While it’s important to know the basics, modern frameworks are what get you hired. 

For web development, learning a high-performance framework like FastAPI will make you stand out more than just knowing the basics of Flask. If you’ve got your eyes set on the AI space, understanding how to use tools like LangChain or LlamaIndex will become increasingly valuable. 

5. Join Python communities

The Python community is incredibly welcoming, so make an effort to surround yourself with other learners and experienced developers. 

A few places to start could be: 

• Joining a Discord server like the official Python Discord
• Following the r/learnpython subreddit
• Participating in discussions on Stack Overflow or the official Python forums
• Attending local Python events or virtual conferences

Coding can feel extremely isolating, but being part of a community helps to keep you accountable, motivated, and exposed to new ideas. 

6. Contribute to open source projects

This might sound intimidating, but it’s easier than you think. 

Find a small open-source project on GitHub that you use and try to contribute to. It could be as simple as fixing a typo in the documentation, adding a comment to clarify a piece of code, or writing a simple test. This is a great way to learn how professional software is built and to collaborate with other developers. Plus, you never know where a project or new connection might lead. 

7. Build real projects that solve actual problems

Once you’ve found your footing, it’s worth getting stuck in with some real-world projects with non-technical people. 

For example, could you build a tool for a local non-profit to help them manage their volunteers? Or create a web app for a friend’s small business to help them track their inventory? 

Real-world experience always makes for a more compelling portfolio. It also gives you an opportunity to build up those essential soft skills, like project management, collaboration, and communication. 

8. Consider freelancing to gain experience

If you wait until you feel like an “expert” to start applying for paid work, you’ll never start.  

Even if you’re not quite ready for a full-time developer role, many businesses still need help with small, well-defined tasks like writing a simple script, fixing a bug, or extracting data from a website. 

These projects may seem small, but they teach you how to work with real requirements, deadlines, and feedback. You’ll learn how to scope tasks and manage expectations. Plus, you’ll finally get paid for your efforts. 

To get a feel for the types of opportunities out there, take a peek at some of the latest Python listings on Upwork. You’ll find a mix of small gigs alongside larger, more complex projects. Proof that there’s still steady demand at every still level. 

9. Specialize in a high-demand area

Once you’ve got the fundamentals down (and you’ve built up a decent portfolio of work), the next best thing you can do is specialize. 

More specialized roles require more than just basic Python knowledge, but the payoff can be huge. If you’re not sure what to specialize in, start by paying attention to the kinds of projects that interest you most. 

For example: 

• Do you enjoy working with data and uncovering insights? Data engineering or analytics might be a fit. 
• Are you fascinated by large language models and automation? AI engineering could be the path. 
• Do you like thinking like a hacker and solving puzzles? Cybersecurity may be worth exploring.

You don’t have to have your entire career mapped out; just pick a direction and go for it! 

The final verdict: Is Python worth learning as a new developer? 

If you’re still wondering… is Python worth learning? The answer (of course) is yes!

From our perspective at Upwork, Python is still at the center of everything, including: 

• Artificial intelligence and machine learning, powering LLMs, automation tools, and data-driven products.
• Web development and APIs, helping startups and enterprises ship fast with frameworks like Django and FastAPI.
• Automation and data workflows, running scripts, dashboards, and backend systems that businesses depend on every single day.

And Python continues to, year after year, reward developers who take initiative, solve relevant problems, and continue to sharpen their skills as the industry evolves. 

Frequently Asked Questions about learning Python

Is Python worth learning in 2026?

Absolutely. Python is one of the most in-demand programming languages in the world, especially in high-growth fields like AI, data science, and web development. On Upwork, it consistently ranks as one of the top skills that businesses are hiring for, with thousands of jobs posted every month.

How long does it take to get a job with Python?

For a dedicated learner, it’s possible to become job-ready in 6-12 months. This typically involves 3-4 months of learning the fundamentals, another 3-4 months specializing in a domain like web development or data science, and 2-3 months building a portfolio with a handful of projects.

What is the salary for a Python developer?

In the U.S., salaries for mid-level Python developers typically range from $100,000 to $150,000. However, senior developers and those with specialized skills in areas like AI or data engineering can command even higher salaries of $180,000 or more. For freelancers, rates for experienced Python developers typically range from $75 to $150 per hour or more.

Should I learn Python or another language like JavaScript?

It all depends on your goals. 

If you want to focus purely on front-end web development (what users see and interact with in their browser), JavaScript is essential. However, if you are interested in backend development, data science, AI, automation, or DevOps, Python is the better choice. 

Many successful developers end up learning multiple languages to become as versatile as possible.

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