Python is a very diverse programming language, that’s for sure.
But, one of the significant features of this language is that it’s here to stay.
Python has managed to stick with us for more than 3 decades now and with its implementation of sites like Wikipedia, Yahoo and even NASA, it’s safe to assume that your expertise in this field won’t go to waste.
If you are a Python enthusiast who wants to explore the field more and experiment with Python in a more professional scenario, then this post is for you.
As a beginner, I am sure you would definitely have a lot of thoughts as to if you should continue with the course or not. Let me say this. Not just Python but any other programming language where you don’t know where to start, you probably are going to have second thoughts about starting. But that doesn’t mean you give up at all, does it?
Towards the path of learning any kind of programming language, the first step is to make sure that you understand your learning approach. The first step to learn is always to figure out how to learn.
And since you are looking for a full-time approach, I recommend you get started with SmartKnower.
SmartKnower is one of the most thorough and practical approaches towards your journey of not just learning Python, but a lot of other programming languages and concepts as well.
With SmartKnower’s courses, not only get you access to the globally updated curriculum and out-of-the-box material, but you actually get to bag the deal at a very affordable price.
If you are a beginner, I recommend you get started here only.
Moving on, here are some of the tips for you in order to learn Python and actually get better at your craft.
Not just for Python, but when it comes to learning any programming languages, consistency is the key. If you have to get better at something, practicing your craft is always one of the best solutions.
Stay committed to learning and practice your code daily. Work with projects and solve papers to master your skills. After all, the more you try, the thorough your approaches in real-life coding are going to be.
Committing to coding daily is going to help your career a lot and you are going to learn a lot of things in a very lesser amount of time.
It might seem hard at first to stay consistent, but once you get the hang of it, you are going to be thankful to yourself for the rest of your life. Try breaking your time schedule and learn to an hour or so daily at the beginning. Work your way up after that gradually.
You might not have realized, but when you sit in an interview, you are most likely asked to write the code on a piece of paper rather than type it on a computer and execute it.
As you progress on your journey, you need to take notes of everything that you have learned across the way. The researchers suggest that you should be taking notes in hand which turns out to be a long term benefit for you and would be better or future references as well.
Along with that, it is you explaining the concepts to yourself, which means you can easily understand a concept if by chance you have forgotten it.
Be prepared for interviews beforehand. Once you start working and development on small projects and programs, writing the code by hand can help you get better at your craft and explain concepts forward to other people as well.
For an open-source model, the software source code is always public for different programmers to contribute to it.
There are a lot of Python libraries that are open source projects and people can make contributions. A lot of companies publish open source projects as well, which means that you can work well with the code written and produced by the engineers that are working within these domains.
As you contribute to such open-source projects, it becomes an amazing resource for creating an extremely valuable learning experience and allows you to learn a lot of things at the same time.
The project managers would also review your work and provide suggestions over where you can improve your work. It would allow you to learn the best practices for Python programming as well as interacting with other developers. The code is free to experiment with, which means you can do as you please for practicing.
For beginners, there are a lot of exercises that are going to boost your confidence and helps you work better on upcoming projects.
As you get a solid hold on the data structures, writing classes, and object-oriented programming, it is a good time to start building something on your own and actually showcase as part of your portfolio.
The fact that you are building something is not important. How you build it is important. The journey which starts with your building is going to take you on new expeditions and is going to teach you the most. Most of your learning is going to happen when you start building something on your own. You would also learn how to solve a lot of problems.
For starters, you can start by building the following programs and test your Python programming skills -