Posted on by Bhavna Mittal

What is Python?

Python is an interpretive, interactive, object-oriented programming language, named after the British comedy group Monty Python. Today Python is one of the most popular, and also the highest paid languages for coding in Unix/Linux world.

Python can be used to write simple programs, but it can equally be used to create complex, large-scale enterprise solutions. That is the reason you can find it everywhere – from Web development to Server Component development, and from XML Parsing to Configuration Management.

Is it fairly easy to build a good rapport with Python?

Absolutely yes!

But we have a more important question for you –

“Why do you want to learn Python and what are your expectations out of it?”

If you want to get a job in Python, you surely would want to earn more than your current income. But for that, you will have to enter the industry at a decent expertise level and not as a fresher. Also you need to learn it in order to get a Python Programming certification, which is very useful during job applications.

So here are some tips which will help you as a beginner to gain more expertise in Python –

  1. Start with the basics

You might have heard this many times over, but this point cannot be reiterated enough. I have seen many talented people getting stuck and finally quitting because they decided to become a professional programmer overnight. You simply can’t!

So start with the basic syntax and gradually work your way up the ladder. You don’t have to memorize anything, and paying attention is sufficient in itself.

  1. Consistency is the key

Once you are done with the basics, you should make sure to do a little bit of coding practice every day. You can start with simple scripts first. Don’t over-think about the perfect start, because it doesn’t exist. Just pick up anything like a basic calculator with a UI, or Google something like ‘beginner python projects’, and keep going.

  1. Remember to take notes

Make notes of what you want in your project and how do you plan to go about it. This is because you must have a theoretical approach to achieving your desired results, before even beginning to write any code. This also helps in improving your muscle memory, which is crucial in learning any new skill. You could make a flowchart to assemble all your ideas in one place.

Finally, start executing the project. You would have learned a lot of things when you eventually finish.

  1. Take problems as learning opportunities

Nobody on earth is possibly 100% perfect when it comes to any type of language. Experts may not be stuck on basic problems, but they too eventually get stuck on some complex problem. So as a beginner, don’t get bogged down if you hit a wall.

Try to solve the problem on your own at first, but if it does not help, don’t waste too much time. Take the help of Google (and remember to be precise with your search queries) or post your problems on forums where you might get some help. You can also join Machine Learning training course to help you with the language in a much better way. And always pay attention to what you learned from the solution of the problem.

  1. Taking breaks is equally important

When you are learning something new, be it a programming language like python, or even a skill like playing the guitar, your brain is receiving a lot of new information. So it needs sufficient time to efficiently process and absorb the information.

So when you get stuck on a bug, or even otherwise, step away from the system from time to time and do something that refreshes you, and then return to what you were doing. A fresh mind will automatically look after many problems that you are facing, including the imminent ones that you might face. You can also look up ‘The Pomodoro Technique’ on Google or Wikipedia.

  1. ‘Python’ise your life

If you are not serious about learning Python, none of whatever I said would make any sense. But if you are serious enough, you must make an effort to incorporate python into your life as much as possible. For example, instead of watching random videos on Youtube, view python related videos. Or you could brush up your library during free times like travelling or eating. This helps a lot as well as makes you efficiently utilize your time.