A survey by StackOverflow suggests that Python was the most wanted and in-demand technology in the data analytics industry in 2018. Professional software developers worldwide rank Python as the most efficient and easy-to-use programming language. Tech giants like Google, Facebook, Instagram, Quora, YouTube, and IBM use Python for various operations.
This increasing use of Python has opened bulk opportunities for people with good knowledge of this technology. Enterprises are willing to offer salaries from INR 5,57,746 to 9,73,798 to freshers with good knowledge of Python programming. So, if you are a fresher looking for a lucrative career, having Python as a skill on your resume can take you to places. You can enroll in a Python training course in Gurgaon, Mumbai, Pune, or any other city at centers like PST Analytics to learn about this technology and land the job of your dreams.
Now that you know it is important, the next thing is to find out the best way to learn and become an expert in Python programming. Below are some pointers on how to begin with PPython:
1. Begin with the Basics
Most companies use version 2.7 or 3. x series in their day-to-day operations according to suitability. The difference between them is minimal at the beginner’s level. You can download the Python beginner’s tutorial on the official website. The documentation on python.org is the best source of information to understand the basics of this technology. You can also find a point series guide on understanding Python on Wikibooks. It’s not too technical and allows you to understand coding easily.
2. Use StackOverflow
Programming is no piece of cake as it requires good command over basics. However, even the experienced sometimes have problems. StackOverflow is a great resource where you can find solutions to your issues. As a new band, you will find answers to your concerns, so get help from experienced people in this community. You can learn tricks and shortcuts usually unavailable in many Python handbooks.
3. Do Structured projects
The next step after learning the basics is to start doing your tasks. Projects help you in applying your knowledge to practice. The more you practice, the more you will be able to retain the things you have learned. Many online resources offer structured projects; they allow you to build something interesting. Structured projects are also better. Your chances of getting stuck in thare lessen compared to the freeform projects.
| Interest Area | Projects |
| Machine Learning/Data Science | Dataquest, CS109, Scikit-learn Documentation |
| Mobile Apps | Kivy Guide |
| Websites | Flask tutorial, Bottle Tutorial, How to Tango with Django |
| Games | Codecademy, Pygame Tutorials |
4. Learn about common Tools and Libraries
Python is a language that can do almost everything. Endless tools and libraries are available in Python, making programming easier for you. Some of the most used are:
- Django: Django framework is one of the best for web development. Many learning resources are available for Django as it is the most common web framework for Python.
- PyPy: PyPy is an alternative compiler for Python that helps speed up your processing. It helps during intense CPU work where Python proves to be a bottleneck.
- NumPy+SciPy: NumPy and SciPy usually go hand in hand. If you are working on serious number crunching for scientific or mathematical research, these are the libraries for you. They extend Python’s mathematical capabilities and functions to speed up the processing.
- Python Image Library: It is an extensive library in Python that is perfect for anything to do with pictures. Manipulation of an image can be done easily on PIL.
5. Get Involved in Open Source Projects
Once you get a decent grasp of Python language, the next step is to put it to use. Comparing people’s couples is important as it is a great way to learn new things. To get this knowledge, open-source projects are the best. Places like Bitbucket and Github provide ample opportunities to work on these projects. You can contribute, learn, tinker with ideas, and find out how ideas are honed. Getting involved in such projects is only going to improve your knowledge.
6. Join a Training Course
There are so many things you can learn by yourself. However, with proper guidance from experienced mentors, you can completely unlock Python’s potential. You can join a course for Python training in Delhi, Gurgaon, or any other city to understand the A-Z of things that Python offers.
