How to Keep Attentive and Focused While Learning Python!
There is nothing to prevent you from fulfilling your dreams. If you dream of learning coding, start by learning Python. With good learning resources and some tips to stay focused, learning Python can be completed in just one month.
You can learn Python quickly. It depends on how fast you want to achieve it and how much time you can spend learning and practicing Python on a regular basis. Before moving on, I would like to make some assumptions I made about why I read this article with you.
Distraction is caused by one of the following: I can’t pay attention. Indifferent to the objects of attention; you need to work on them. We recommend that you meditate for 10 minutes each day so that you can concentrate on your studies. The first thing to understand is that you need to be distracted, you see, plan your time:
- Plan on how many hours you want to study per week?
- When do you feel most awake? Morning, evening, night. Then sit down and study. This will allow you to understand more in less time.
- Plan to cover some topics by making time each day to find out which topics you want to focus more on. The only way to make your study time interesting is to connect it to something in your daily life. If you want to understand how packets travel in your network, you can think of things like traffic and signals on the road. This will make your study time fun and interesting. I will not forget what you have learned.
- Take a break from books and do intense exercise such as basketball, soccer and tennis. Such exercise removes excess energy from the body and calms the mind. Try meditation as well. This will help you focus. Such exercise also sharpens your brain.
5. once a week give yourself some good entertainment, go out hang out with friends, talk something else than studies. just enjoy for half a day, then you will see you can concentrate better.
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Why you need to learn Python!
Python is just one programming language, but it’s quite different from other languages. Its simple syntax, great ease of use, versatility, and endless possibilities set it apart from other languages and make it a great introduction to learning other languages.
Python has a very wide range of applications. Useful in virtually every industry. It’s everywhere you hear about machine learning, data science, software, web development, or business automation. Do you have a favorite app? You can see that Python is one of its components. Not only is Python cool and ubiquitous, it’s also highly desired by employers. Learning Python will be rewarded with your tough skills. It will be highly valued in the employment market. Believe me-many recruiters are waiting for you to learn Python and start working in their organization.
The best resources to learn Python
And I immediately say that the choice will not be easy. As a veteran friend, you can rest assured that you can help select the resources that have proven to be the best for me. There are many of them, and it’s up to you and your personal taste to determine the most attractive resources to learn Python.
First, there is a video tutorial. I will mention them first because they gave me the most headaches. I don’t know you, but personally I really like to understand everything. I’ve been watching YouTube tutorials for hours and eventually found it to be a waste of time. The Python information contained in the documentation was not incorrect. That’s because as a beginner, I didn’t really understand what each video was, or even what was happening on the screen.
So, it’s good to start with theoretical resources. Traditional desktop research gets you acquainted with the basics before you start learning Python. If you have an overview of what Python is made of, what it is, how it works, how and where it’s used, learning Python becomes much easier.
There is a resource that combines elements of expert knowledge and theoretical introduction. I mean online Python courses, which in the end were how I learned the most, from scratch. E-learning is a beautiful invention. With it, you can grow wherever you are as long as you have access to a computer and the Internet.
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How to set up your mind towards successful Python Developer and Data Scientist!
Don’t copy paste code, instead type them
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Programming in Python isn’t the same as remembering the syntax structure, but it’s very useful for programming the basics without having to go through all the details. Anyone can copy and paste the code, but wouldn’t it be more effective if you could write the basic code seamlessly yourself?
When practicing what you’ve learned, it’s best to actually type the code character by character, without copying or autocomplete. What I noticed is that I typed a particular code a few times and immediately remembered it (
muscle memory?). So when I first started learning Python, I entered code to minimize the use of autocomplete (even when learning a new library). This really helped me to be able to enter simple codes myself without having to look at Google or notes.
Once you are fully comfortable with a particular code and you think further typing has very little benefit, you can certainly enjoy autocompletion tools and other shortcuts for quicker progress.
Learn from Errors!
When you are practicing Python, you will get a lot of errors. This is completely normal. Despite this, it can still feel pretty frustrating. If you keep getting errors, you may feel discouraged and despaired. Learning how to debug (i.e. find and fix errors) is a key part of learning Python. Continuing your debugging practice will help you speed up future code debugging and understand the types of errors you can avoid.
The next time you receive the error message, please wear a detective hat. Start by reading the error message and looking for clues as to what caused the error. If the error message isn’t helpful, search for the error on Google or another search engine. Others who have encountered the same error may have already sought help and fixed it.
Practice coding with purpose
To keep yourself motivated and be more productive, always have small goals when practicing Python. These small goals should be aligned to your overall reason for why you want to learn Python. When you have time, take a few minutes to jot down a list of things you want to be able to do in Python. If these items are too big, break them into smaller tasks. These are the very things that you ultimately want to be able to do in Python. You can treat this as your roadmap to improve your Python fluency in your domain. This roadmap is not a static document, instead, it’s something you can keep updating as you progress in your learning journey.
Select a task from this list each time you practice. The time you spend practicing can be used when you really need it, which can increase your productivity. This is also exciting because it feels like “Now you can do it in Python!”. As you practice, it’s a good idea to document your code snippets in an organized way so that you can easily find them. Over time, create a collection of useful code and templates from practice time. Depending on various factors such as task type, Python comfort level, concentration time, etc., you may be able to work on a task in multiple practice sessions, or you may be able to complete multiple tasks in one session. I have. Dedicate.
Imagine a small bubble around you. This bubble represents a comfortable Python bubble. It starts very small. Over time, slowly dilate this bladder while practicing.
Use focus improvement tips!
Once you realize that you need Python and can learn it, all you have to do is plan your learning and take action. And that’s probably the hardest part.
When you look at your hands, you will experience moments that are more consumed than studying. Not surprising. It happens when our minds are overloaded.
Put your plans and goal’s in proper order!
Everything you learn can take unexpected forms. Each person has a different tendency. It may be easier to learn by watching videos, listening to podcasts, and taking notes.
Whether you’re a visual learner or learning better through practice, it’s important to choose the right Python learning method. However, we will focus here on the format, not the source of new programming knowledge.
Very simple. You need to remember everything you learned in the course so that you can use it correctly. It will not work without repeating and saving the information. Unfortunately, this is an integral part of learning new skills.
Do you remember how the easiest way to learn new things when you were a student? Was it an index card? Colorful notes? Or is it an association game? In my case, the association turned out to work for me. I listen to music when I study. When I started a new section of the course, I talked to other artists. Thanks to this association, I unknowingly learned to write reusable code while listening to Metallica, and to work with dictionaries with Rammstein.
It’s a good idea to write down anything that you find difficult to remember. You can help with your notes each time you move to the next level of a course that requires the skills of the previous part.
You can record your own voice as you talk about what you learned during the course with Python so that you can better organize your new knowledge in your head. This may seem a bit strange, but it actually works. Have you ever heard that we learn best when we pass on knowledge to others? You don’t have to share what you’ve learned about Python anywhere else or with others. You can record and listen at any time, so you can convey your knowledge to yourself. You can repeat the course content any number of times, anywhere.
Is learning Python really for me?
Yes. Python is definitely created and developed for you. Success is a matter of heart. It’s entirely up to you how quickly you can learn Python and enjoy the benefits of knowledge.
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