Python programming language: pros and cons
You can’t get a new profession right away: you need to learn all the details and hidden pitfalls – that’s true for programming, too. We tell you why Python receives so much attention, where and how it is used, and much more.
What is Python and where is it used
Python is the most popular and fastest-growing programming language – according to TIOBE, by the end of 2021. It’s also understandable without a technical background, versatile, and fairly lightweight. Programmers think of Python as an easy language because it’s similar to English, and the code is like a construction kit – it’s assembled from blocks. But for those who have trouble, contact essay writing service to solve all the problems quickly. Start writing in it if you have no experience but want to quickly see how your first program works.
Python is used more often in web development and data science. Here are some examples of where Python is most often used:
- in software development, games, programming scripts, web frameworks, data science, and other areas;
- it is used for dropbox file hosting, uber driver-call app and youtube video hosting;
- online movie theater netflix and music streaming spotify analyzed user data with the language and created personal recommendation algorithms based on that data.
Who is suitable for Python development
A Python developer doesn’t need to know math or physics. But mastering the language will be easier if you
- you like complex tasks,
- can focus on one thing for a long time and finish it,
- and you’re good at organizing things;
- you are attentive to detail,
- have a basic knowledge of English.
Pros of Python
Let’s start with the advantages of the Python language and why you’ll love programming in Python.
- The simplicity of the language. The syntax is clear and similar to English. If you know the basics, you’ll get the hang of it in no time. The code itself – the parts of the constructor, is enough to learn how to assemble correctly.
- Ready-made solutions. Python has libraries, they are also frameworks. There are already a lot of pre-built libraries, and as the language evolves, there are more and more of them.
Python has about a hundred libraries, for example:
- Pillow – for creating thumbnails and applying filters,
- Home Assistant – for home automation,
- QLAlchemy for database analysis,
- Flask for simple websites.
- A well-developed community: Programming is considered a difficult area: you have to learn a lot on your own. But this is another advantage of the Python language – a well-developed community of developers. You can easily find the information you need on the Internet or get a quick response from experienced colleagues.
- Versatility: You can grow and develop in backend website development and for mobile applications. As an option, you can move into machine learning and data analytics. And after Python, it is easier to learn other languages. The main algorithms are already known, all you have to do is master the syntax.
- Demand: Python developers are in demand in the market: there are more vacancies than specialists. Employers are ready to compete for strong candidates.
Cons of Python
Now let’s list some of the disadvantages of being a Python developer.
- Monotony: There’s a lot of routine in programming in any language – it’s important that you enjoy the tasks at hand. The product needs to motivate. This is where diligence comes in handy.
- A lot of communication: Not that this is a disadvantage if you don’t mind chatting. In effective teams, developers only spend half their time writing code. The rest of the time is occupied by communication: meetings with customers, analysts, and designers. It is important for a programmer to understand what task to solve and how. Communication with colleagues helps to choose the best solution for a particular request.
- Continuous learning: Pythonists are constantly developing professionally: technologies are updated rapidly, and one should not lag behind the trends. You will need to read a lot, watch videos, and figure it out.
- Sedentary work: Because of sedentary work process sometimes develops osteochondrosis and diseases of the musculoskeletal system or appears varicose veins and overweight. But this disadvantage is leveled by training or small warm-ups during the day.
Where to start learning Python
Programming is like playing a sport. Only daily practice will lead to success. The main thing is to understand the basics. You can study free tutorials on YouTube, read a guide to Python, books – about them below. And be sure to practice a lot and diligently.
You can learn to program on their own. Much harder – to understand the development process, algorithms, and data structures, to understand how to work in IT teams. Python courses can help with this – you can learn the language online in a year on average.
What to read for a beginner pythonist
You can learn more about the language and learn how to do simple things from books. If you haven’t decided to take a course or are afraid of getting confused in the mountains of information, the books will help you to get into the subject. They will help you figure out how the world of development works, and prepare you for the things they tell about in the course.
- Learning Python: Programming Games, Data Visualization, Web Applications, Eric Mathies. The world’s most popular guide to Python. For those who have never experienced programming. Tells the basic principles and how to create programs.
- Illustrated Guide to Python, Matt Harrison. The best guide for the novice developer – there’s both theory and case studies. Exercises after each chapter to memorize the material better. Useful both before and during the course.
- Learning Python, 5th Edition, Mark Lutz. A voluminous textbook for those who are ready to read a detailed explanation about Python and are not afraid of complex formulations. A handbook for every aspiring Pythonist.
- Test-Driven Development with Python, by Harry Percival. Get to the book when you’ve already mastered Python at a basic level. Harry Percival teaches the basics of test-driven development and Django. The book is packed with extra material and practical exercises – you won’t be able to finish it in an evening, but you will eventually learn to write working program code from scratch.