How to Become Master in Python Programming

How to Become a Master in Python Programming

Would you like to know how the best Python developers did it? Or more precisely, how and where do they learn? The key to the winner’s success and mentality is based on a “do” approach. Even if you are already feeling pretty comfortable with the vast majority of Python syntax and semantics, there is always room for improvement. It doesn’t matter whether your ultimate goal is to get the job of your dreams, your current job, improve your personal development, or learn more to become a master in python programming.

If you already know a programming language, you know that this is not a child’s play and that the improvement takes some time. Regardless of how you realize your dream of mastering a programming language or finally building fully functional web applications with Python, this will take time and patience. Here are some ways to get from a junior or intermediate python developer to a fully encoded rock star.

Here I am going to share 6 things that will definitely help you to become a master in python programming.

1. Coding

It seems so obvious, doesn’t it? Let’s start with this most typical answer, which is actually so true. The best way to improve programming is to actually code. only code will help you to become a master in python programming.

Learning through an approach can take you from a newbie to an experienced Python developer.

If you are already deleting a few lines of code at work, but want to find a new way to use Python, or if you want to delve into Flask while using Django, practice at your leisure. No matter how many courses, meetings, or hackathons you attend, there is no other way to do it than the just program.

2. Always Active in Programming Community

The best way to improve is to learn from more experienced people. Of course, you can also do this if you don’t want to leave your home, but let’s first focus on events tailored to developers.

Meetups, hackathons, conferences, and workshops – where the magic of coding happens. You can increase your motivation, talk to other programmers, develop your network and find new problems that you can solve. There is no better way to improve your skills than to push yourself to the limit. In addition, by working with other developers, you can always learn something new, not only because of the main project but also because their approach may be completely different from yours. Some events like DevCollege, Django Hotspot, or PyCon repeat, others are occasional and more convenient, usually like a location-based raw root initiative, a specific programming language, or a meeting in a coworking space for developers to be independent. Meetups like this are usually advertised on Facebook groups or services like Meetup (for the international community). If you live in a medium-sized or larger city, there is no chance that you will not be able to work with other programmers after hours. If you’re wondering what a Python conference looks like, you’ll find valuable report information: PyCon PL 2017 and PyCon PL 2018.

Read More: Top 10 Python Training Institute in Bangalore

3. Courses and Webinars

The number of online courses is crazy – some are free (YouTube videos, blogs), others are paid. If you lack the knowledge and know exactly what you want to learn, find an expert in services like Udemy or Coursera and get the knowledge you want for a small fee (usually discounts).

4. Teach Others and Get Taught

As simple as that, get involved in online communities like StackOverflow, GitHub, HackerRank or even Quora. You can work on open source projects there or simply answer questions to people who are not yet at your level.

Basically, the more valuable knowledge you can spread, the higher your reputation as an uplift expert. In addition, the well-known truth is that you can only understand something deeply if you can explain it with the simplest words. Obviously, it works in both directions – every time you have a question, there is most likely someone who can answer it and help you solve a particular problem. You can also find mentors or … immerse yourself in the code of the services and applications you are addressing, or consult the best Python content and source code to find out how they did it.

5. Know Your Niche

Fortunately, you just can’t get bored while programming and say, “I know everything, that’s all.”

If you feel that you have acquired sufficient knowledge of the general use of a particular language, try to find out what you like best. Some developers prefer to build applications, others prefer data analysis or machine learning and AI. There are many areas in Python programming where you can use the language. However, if you have the impression that, for example, a certain frame does not suit you, simply learn another. Have you ever thought about going to Django? In addition, the programming languages ​​are constantly changing, so you cannot be bored! However, in order not to go crazy for the new updates that are constantly happening, you should focus on and master certain aspects of Python development. Instead of trying to learn everything, become an expert in the field that interests you the most. Ultimately, programming is more about the path of the process than “memorized commands”.

6. Do Your Great Stuff

For those seeking knowledge, there are many ways to get it. Regardless of whether you choose a conference or follow the Python thread in Stack Overflow, the most important aspect is to do this. Nothing can replace the experience gained through the trial and error method. The only way to learn from experience is to actually program. So find a project you are passionate about and start writing!

Conclusion

I hope you have understood what things you need to do to become an expert in python programming. If you follow things that I have mentioned above then you can also become a master in python programming. Just you need to start and learn python.

Near Learn provides the best online python training in Bangalore and also provides training on various courses like  Artificial Intelligence, Data Science, Deep Learning, Full-Stack Development, Golang,  React Native and other technologies as well.