Python is simple, easy to use, and a multipurpose programming language, which is almost the perfect choice for anyone who is trying their hand in computer programming for the first time. The applications of Python are wide ranging from Web Development, mathematical computing, and scientific to the Desktop designing interface.
Python Programming has a clean and short-length syntax that makes it easy to learn and the programmer can think about the problem without focusing too much on the syntax.
If you are a novice programmer, here are certain tips that will enhance your programming experience with Python.
The Best Tips For Beginners To Learn Python Programming
Being consistent is very important when it comes to learning new things. A serious learner shall commit with himself to code every day. This might be strange to believe, but muscle memory plays an important part in programming.
It might seem to be exhausting, but try making a schedule and spare at least 25 minutes as a startup and then increasing the time.
Writing It Out
In this journey of being a good programmer, you should definitely consider taking notes. Researchers have shown that taking notes by writing them helps in easy and long-term retention. For people having an intention to be a full- time developer, maintaining physical notes will be of greater use. Some interviews can also include providing codes on white-boards and prior practice will prove to be beneficial.
After you start to work on small projects, writing your code before you move to the computer will make your coding a better experience. Programmers can save time by writing the required functions and classes and the way they interact.
Whether you are learning basic Python or you are debugging an application, Interactive Python shells will prove to be the best learning tools. Make sure that the Python is installed in your computer before you start to use these interactive shells. For activating interactive Python Shell, you just need to open your terminal and start running your Python.
Taking a step away and analyzing and absorbing what you have learned are important steps in assimilation. You can work continuously for 25 minutes and then take a break and then follow the same. This will help you to retain the things easily. While taking in a lot of new information, taking frequent breaks will make your study sessions more effective.
Debugging requires a lot of breaks. Finding a bug and not actually understanding what is going on requires a break and a fresh start. Chat with friends, or go for a walk before focusing on the same things again. Fresh eyes will detect flaws better when in programming even a quotation mark makes a huge difference.
Becoming a Bug Bounty Hunter
Writing complex programs and running into a bug is inevitable. This may happen even with the expert programmers. But, the real challenge lies in keeping yourself from getting frustrated with bugs.
Consider yourself as a bug hunter and find flaws in your own codes. Not only the program will work smoothly, but you will be able to learn from your mistakes.
You have to follow the methodological order to detect the bug, following the way the code was created, and checking the function that each part performs.
Surrounding Yourself With Other Learners
Coding might appear to you like a solitary activity, but surrounding yourself with one of your kind can help. While learning Python, it is recommended to surround you with people who are learning the same things so that you can share the tips and tricks and learn from the experience of the others. Try taking some professional help as well.
Taking instructions from a well aware trainer and in the company of other learners will make your learning experience more enjoyable.
The best way to learn is to teach. Try sharing your codes and knowledge by producing your Python code on the whiteboard with other Python lovers. One can even write blogs and make videos regarding their learning and programming strategies. These activities will solidify your learning and will expose the gaps in your understanding.
This is a technique in which two programmers are working on the same platform and at one workstation to achieve the target. You can get a chance to play a dual role like being a driver to a navigator and vice versa. You can switch the roles and can get benefited from both sides.
Pair programming has benefits of its own. Not only it gives a chance to someone to review your code but also helps you to analyze how someone else is thinking about the problem. You will be exposed to multiple ideas and ways that you can implement once you start to program individually.
Asking GOOD Questions
People tend to say that there is nothing like a bad question, but when it comes to programming you will have to consider asking good questions because the incorrect formation of the question may leave you confused and unanswered. Follow the following acronym while making a GOOD question:
G: Giving Context on what you are trying to perform, also describing the problem clearly.
O: Outlining the things tried on your behalf to fix the issues.
O: Offering your best guess regarding the issue. This can help the person helping you to read your perspective and guide you accordingly.
D: Demo of what is happening. This demo should include the code, the error message that is appearing, and also the steps you have followed for its execution.
Asking a good question can save a lot of time, both for the learner as well as the examiner. Create good quality question so that your helper shall continue helping you in the most productive manner.
Building Something, Anything
Small programs for beginners will be a sort of muscle memory builder and become confident with Python. The journey that you follow during your learning phase can be a major aspect in making you an efficient programmer.
The programs that you will solve will be your best teachers. Your examiners and teachers will review your work and provide you with comments and suggestions.
These tricks will help you learn best practices for Python Programming as well as developing with other programmers.