In partnership with

If you had to bet your time on one programming language over the next five to ten years, Python would be a very safe choice. It sits at the center of data science, AI, automation, cybersecurity, web development, and even parts of DevOps.

In other words: if you want a career in tech, Python is one of the strongest foundations you can build.

Why Python is everywhere

Python’s biggest advantage is its combination of simplicity and power:

  • The syntax is clean and beginner-friendly, which means you can write useful programs faster than in many other languages.

  • It has massive ecosystems: libraries for data (pandas, NumPy), AI and ML (TensorFlow, PyTorch), web (Django, Flask), automation (Ansible, Selenium), and more. Medium+1

Because of this, companies use Python for:

  • Data analysis and dashboards

  • Machine learning models and AI pipelines

  • Backend web applications and APIs

  • Automation and scripting (including DevOps and cloud tasks)

  • Cybersecurity tools, log analysis, and scripting

This is why Python keeps showing up at the top of language rankings and surveys. It currently holds the number one spot in the TIOBE index and has seen significant growth in adoption over the last few years. TIOBE+2TechRepublic+2

What the Python job market looks like right now

The tech job market as a whole has gone through a reset: some companies have slowed down hiring, and AI has automated parts of junior-level work. But that doesn’t change one key fact: software and data skills are still in strong long-term demand.

  • Software developer roles in general are projected to grow around 15% from 2024 to 2034, much faster than the average for all occupations. Bureau of Labor Statistics

  • Computer and IT occupations as a group had a median annual wage of about $105,990 in 2024, more than double the overall median wage in the U.S. Bureau of Labor Statistics

  • Python remains one of the most in-demand languages; in some recent analyses, nearly half of tech recruiters are actively looking for Python skills, driven largely by AI and data science. Itransition+2Jobtower+2

So yes, you may see fewer “easy” entry-level postings than a few years ago, but companies are still hiring people who can solve problems with code—especially when Python is part of their toolkit.

Typical roles where Python is either required or a strong advantage include:

  • Python Developer / Software Engineer

  • Data Analyst / Data Scientist

  • Machine Learning Engineer

  • Backend or Full-Stack Developer

  • Automation / DevOps Engineer

  • Cybersecurity Analyst (with scripting skills)

AI isn’t replacing Python skills – it’s amplifying them

AI tools (including ChatGPT) can generate code, but they still need someone who:

  • Understands Python syntax and best practices

  • Can read, debug, and improve AI-generated code

  • Knows how to design the overall solution and not just individual functions

That means Python is becoming even more valuable as a “control layer” on top of AI: you use AI to speed up routine tasks, while your own skills handle architecture, quality, and real-world problem solving.

The people who win in this new environment are those who combine Python fundamentals with AI skills, not those who rely on AI alone.

How to position yourself in the Python job market

If you’re serious about using Python to improve your career options, focus on three things:

  1. Strong fundamentals
    Variables, data types, functions, loops, error handling, file I/O, modules, virtual environments—these are non-negotiable.

  2. Real projects
    Build practical, portfolio-ready work:

    • A data analysis project using CSV or database data

    • A small Flask/Django web app

    • An automation script (backups, reports, log parsing)

    • A beginner-level AI or machine learning project

  3. Job-focused preparation
    Learn how to talk about your projects in interviews, show your code on GitHub, and connect your skills to real business problems (saving time, reducing errors, generating insights, etc.).

Want a structured path? Here’s my complete Python + AI course

If you want one roadmap that takes you from “I’m new to Python” all the way to “I can build real projects and apply for jobs,” this is exactly why I created my Udemy bestseller:

Complete Python with AI Skills to Get Your Dream IT Job
Udemy link:
https://www.udemy.com/course/complete-python-with-ai-skills-to-get-your-dream-it-job/ Udemy+1

Inside the course, you’ll:

  • Learn Python step-by-step from fundamentals to advanced topics

  • Work with data, APIs, web apps, automation, and AI-related use cases

  • Build real projects you can showcase to employers

  • Get guidance on resumes, interviews, and landing your first (or next) IT job

If you’ve been thinking, “I should really take Python seriously this year,” this is your sign.

Start learning Python today, and give your future self a skill that will stay relevant across industries, technologies, and job titles for years to come.

Thanks and let’s keep learning together

Imran Afzal

Earn a master's in AI for under $2,500

AI skills aren’t optional anymore—they’re a requirement for staying competitive. Now you can earn a Master of Science in Artificial Intelligence, delivered by the Udacity Institute of AI and Technology and awarded by Woolf, an accredited higher education institution.

During Black Friday, you can lock in the savings to earn this fully accredited master’s degree for less than $2,500. Build deep expertise in modern AI, machine learning, generative models, and production deployment—on your own schedule, with real projects that prove your skills.

This offer won’t last, and it’s the most affordable way to get graduate-level training that actually moves your career forward.

Keep Reading

No posts found