Why Python is One of the Best Programming Languages to Start With

Python became a leader among programming languages thanks to its simplicity (compared to other languages), versatility, and relevance.

As the StackOverflow chart shows, between 2015 and 2020, Python’s popularity grew at an exceptionally fast pace.

And this is no coincidence — the language has a number of advantages that made it the #1 choice for both beginners and professionals. Here are a few reasons why you should start with Python:

1. Relative simplicity of syntax

Python reads almost like English. For example:

if age >= 18:

print(“You are an adult”)

In Python, you will write fewer lines than in Java or C/C++ to perform the same task.

Example: Age check

LanguageCode
Python
if age >= 18:
    print("You are an adult")
Java
if (age >= 18) {
    System.out.println("You are an adult");
}
C++
if (age >= 18) {
    cout << "You are an adult" << endl;
}

2. High demand in the market

A huge number of modern services and platforms are built with Python. This means: the demand for Python developers is consistently high, and there are plenty of job openings.

3. Suitable for almost any field

Want to develop websites? Build a backend with Django or Flask. Interested in working with data? Learn Pandas and NumPy. Need process automation? Python is indispensable here as well.

4. Large community and documentation

Hundreds of forums, thousands of ready-made examples, open-source code, libraries for every case — Python has everything you need for a comfortable start.

5. Easy to find learning resources

And it’s not just YouTube or Google. Ukrainian initiatives such as Academy for Heroes have created specialized training, where you can master the profession from scratch — with support, mentorship, and real practical tasks.

What Should You Know to Become a Python Developer?

A career in IT is built step by step: from the first tasks at the Junior level — to confident Middle and professional Senior. At each stage, it is necessary to improve knowledge and develop practical skills. The requirements for a developer change depending on their qualification, so let’s take a closer look at the specifics of each level.

Main responsibilities of a Python developer:

  • writing program code;
  • designing application architecture;
  • working with databases;
  • creating APIs (interfaces for data exchange);
  • writing tests to check code;
  • debugging software;
  • participating in team project work.

Types of Python developers:

1. Backend developer — a specialist who ensures that a website or application works correctly “on the inside.” They set up logic, manage data storage in databases, and create APIs for information exchange.

For example:

  • when you log into Facebook — the backend checks your login and password in the database;
  • when you order a product in an online store — the backend processes the cart data and sends confirmation;
  • when you watch a video on YouTube — the backend retrieves it from the servers and delivers it to the player.

2. Fullstack developer — a specialist who can work with what the user sees (frontend) and with what happens inside the system (backend).

For example:

  • they can create a website’s homepage with design and buttons;
  • set up a database to store information about users or orders;
  • build an API that connects the “external” and “internal” parts of the website.

3. Data Scientist / Data Analyst — uses Python for data processing, analysis, and visualization.

4. Machine Learning Engineer — builds artificial intelligence models.

You can start with backend development and later move into other areas. Python gives you the freedom of choice, which is a major advantage!

Skills Needed for a Python Developer

Python can be compared to a tool: it’s important to know it well, but also to know how to use it. Therefore, in addition to the basics of the language, you need to master these additional skills:

1. Python: syntax, data structures, OOP

  • variables, conditions, loops (if, for, while);
  • data types: lists, dictionaries, tuples;
  • nested structures and type methods;
  • functions (def, parameters, return, import);
  • classes, objects, __init__, inheritance — object-oriented programming (OOP).

2. Working with databases

  • learning SQL: queries, filtering, aggregation, sorting;
  • using ORM: SQLAlchemy or Django ORM for working with databases.

3. APIs and working with libraries

  • creating REST APIs (with Flask or Django REST Framework);
  • using ready-made libraries: requests, datetime, math, random, etc.;
  • working with external services through HTTP requests.

4. Error handling and code reliability

  • using try/except constructs;
  • handling exceptions and preventing program crashes.

5. Working with files

  • reading and writing data to files using open(), with;
  • parsing text and processing data from documents or logs.

6. Version control (Git and GitHub)

  • using git init, commit, push;
  • creating GitHub repositories, team collaboration with code;
  • writing README, project structure, pull requests.

7. Docker and virtual environments

  • creating isolated environments using venv or poetry;
  • using Docker to run and deploy applications in containers.

8. Testing

  • writing unit tests with unittest or pytest;
  • checking the functionality of functions, APIs, and program behavior in complex situations.

9. Practice on projects

It’s important not only to study theory but also to implement microprojects that can later be added to your portfolio:

  • a calculator or currency converter;
  • a ToDo app with a database;
  • a chatbot or a website scraper.

10. Choosing a development path

After learning the basics, choose your desired specialization:

  • Web development — building servers, APIs, backend;
  • Data Science — working with data, analytics, creating graphs;
  • Automation — creating scripts, bots, DevOps tasks;
  • Artificial Intelligence — machine learning algorithms, working with models.

If you are a veteran, you can gain these skills while taking part in the free training at the Academy for Heroes. Read more at: https://www.academy4heroes.com/en/educational-programs/backend-development-python/.

Where to Start Learning Python

Getting started is the hardest part. But don’t worry, the main thing is to have a plan and support. If you are a beginner, here’s a step-by-step approach:

1. Get familiar with the basic syntax

Try these resources:

  • w3schools or SoloLearn (interactive exercises);
  • RealPython — deeper explanations in English;
  • Python Documentation — the official source.

2. Do simple tasks

A number’s factorial, a calculator, a shopping list — these are simple but useful exercises for practice.

3. Take structured training

If you want to progress quickly and confidently, choose a course with mentors, structure, and real tasks. The Academy for Heroes has created exactly this type of training for veterans — free, supportive, and step-by-step, guiding you from zero to your first job.

4. Learn together with others

Find a community where you can ask questions, share problems, and celebrate victories.

How to Get Your First Job

What to write in your CV

The search for your first job is never easy. One of the key steps on this journey is creating a CV. Even without IT experience, you can make a document that looks professional. All you need is to properly describe your skills, learning projects, and strengths.

In a Python developer’s CV, it’s worth mentioning:

  • specific projects (with links to GitHub);
  • technologies used (Python, Flask, Docker, PostgreSQL, etc.);
  • teamwork skills, problem-solving;
  • experience in hackathons or team projects;
  • motivation and readiness to learn.

Academy support: interview preparation and employment

The Academy not only teaches — it also supports you on your way to your first job. Here’s how:

  • preparing for technical interviews: practicing typical questions, simulating real situations;
  • mentorship support: CV review, feedback, coaching;
  • partnerships with companies: the best students get recommendations for interviews.

Thanks to this support, many Academy graduates already work in Ukrainian and international IT companies. And your story could be next.

Tips for Those Starting from Scratch

How not to give up after the first “it doesn’t work”

The beginning of any new path is always exciting. Especially when it comes to programming. You are discovering a completely new world, where everything seems unclear, terms sound strange, and the code often refuses to run on the first try.

But the truth is, almost all developers go through this. Even the most experienced once didn’t know what a variable was or how a loop worked. The important thing is not to give up after the first “it doesn’t work.” Mistakes are part of the learning process. With each mistake, you get one step closer to understanding.

Here are some tips on how to get through the first difficulties:

  1. Google — this is skill #1 for any developer. Most of the time, someone has already made the same mistake;
  2. Ask questions — in the Academy community there are always people who will help you figure it out;
  3. Repeat — go through the topic again, watch a video from another source, rewrite the code from scratch;
  4. Remind yourself why you are doing this — your goal is worth the effort.

Time, focus, community support

To succeed, you need three things: time, focus, and support.

  • time: even if you only have 1-2 hours a day — that’s already good. Regularity matters more than quantity;
  • focus: concentrate on one direction. Don’t jump from Python to JavaScript or design — choose a path and stick to it;
  • support: at the beginning it’s especially important to have people nearby who will support and guide you. At the Academy for Heroes, you will always find support and understanding.

Don’t be afraid to start from scratch. Even if it seems like everyone else knows more. We believe that success is not about talent, but about persistence.

To sum up, Python combines simplicity with incredible power. That’s why it’s chosen by both beginners and experienced developers. By mastering Python, you open up dozens of development paths: from financial technologies and game development to analytics and scientific research. It’s no coincidence that for many years it has been in the TOP-3 most popular languages in the world.

And Python is also about freedom: you can work remotely, have a decent income level, and build a career in any country. And yes, in 2025 this language is more relevant than ever. So if you are a veteran and are wondering where to start your programming journey, one of the best options is to begin learning Python in our free Python Backend Development course.

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