
"It’s not always that we need to do more but rather that we need to focus on less." – Nathan W. Morris
Have you ever wanted to learn more about a particular topic or module, and you proceed to open some notes or documentation on that concept. Then, you glance at it, feel overwhelmed, and shut it down immediately?
Don’t worry because you are not alone!
When you are trying to learn a topic about Python, you usually find lengthy documentations with concise details and almost everything you need to know about every concept for that particular area.
Finding a well-written documentation, quality research papers, and good content with codes must feel like heaven, but that’s not always the case.
Despite finding out awesome resources, there is no point if you are not able to make the best use of these options that are available to you. It’s like you found a brilliant historic antique book that could reveal so many secrets, but unfortunately, you don’t understand the language.
While Python is a simple programming language to learn, there are often issues while learning more complex concepts. However, there is an art to learn the ability to read and understand Python documentation and code faster.
In this article, let us look at some primary methods that will help us to learn objectively faster ways how to read code quickly, especially for Data Science and AI. Let’s get started!
Take A Quick Glance Through The Contents

"Prereading is a game changer. It changed my life…Everyone is smarter when they have seen the material before. You will be too." – Peter Rogers MD
Assume you stumble upon a useful resource that will enable you to learn more coding related knowledge with an overwhelming size. The trick is to quickly glance through most of the lines of the code or documentation.
Once you have looked at most of the lines of code, you either panic because you did not understand anything, or you are happy you at least understood something.
Regardless of what spectrum you lie on, it is completely fine. The objective of this step is to gain a basic intuition about the content ahead. Once you have read the code, there is a higher chance your brain will be able to relate to that particular topic.
Hence, develop a good habit of glancing through the following blocks or lines of code. While you might not understand everything at first, you still gain a brief understanding of the things that lie ahead.
Understand The Useful Content
You don’t need to mug up the entire code block or documentation.
Since you already finished glancing through the content, you even have a brief idea about the numerous concepts that you can work on objectively.
Guess what? You don’t need to learn the entire code or read the entire official module documentations.
All you have to do is gain an intuitive understanding of the essential contents mentioned in those code blocks or documentations. Consider a simple example of Lists in Python. There are tons of functions that are available in this data structure, but you only need to know a few of these to work with most of the common tasks in Python.
Hence, use your critical and analytical thinking to figure out what topics or what blocks of code are the most essential for the particular task or project you are trying to implement. Once you discover this step, your life becomes way easier.
Use References
You don’t need to be a lone wolf protagonist because you have cool friends who are willing to help you out.
The best part about working with Python codes and projects related to Data Science and AI is the number of wonderful resources that you have available to you. You need to make the best possible benefit of these resources so that you can develop and garner more skills.
Assume you have to learn a specific scikit-learn code for machine learning or a complex TensorFlow code for deep learning. The best part about working with these codes is you don’t need to waste your precious time rigorously learning the same thing over and over again without understanding it.
There is so much useful content on the internet that you can make use of to develop the credibility to understand these code blocks and the intuition behind them faster. Make the best possible use of guides, references, and video tutorials to develop and gain a better intuitive understanding of coding blocks and documentations.
Feel free to check out one of my previous articles on the ten best free websites to learn more about Data Science and machine learning from the link provided below.
10 Best Free Websites To Learn More About Data Science And Machine Learning!
Stay In Touch
I can’t stress this factor enough.
If you don’t keep in touch with coding or you stop practicing for longer periods of time, there is a high chance you forget some stuff or can’t solve things with a faster grasp.
Hence, make it a daily habit to keep practicing some code. Also, if you are working on particular library modules, make sure you continue to learn more on those topics without leaving an interval of gaps. Doing so will help you keep your engagement and finish the concept faster.
It will also help you a lot in the future if you can take notes that you can refer to later. Once you take notes of what you have understood and you return back to it later after a month or so, you still can recap that topic particularly fast.
To understand more advantages of coding daily, I would highly recommend all of you to check out my previous article covering this topic.
Conclusion:

In this article, we discussed how implementing a few tricks and game plans to your style on the way you learn code can impact and change the results of understanding them drastically.
To summarize what we learned, have a quick glance at the code blocks, which will give you a brief idea of what to expect. After that, you can selectively figure out the most useful content and focus your attention on those topics.
With the help of references, guides, and videos, you can simplify your workload. And finally, keep practicing to keep yourself more exposed to learn these codes faster!
The implementation of these strategies into your daily habits could take time to inhibit, and that’s totally fine. Once you have invested your effort to dwell on these methods, you will automatically gain the ability to not only read and learn code faster but also develop the capacity to understand a brief intuition behind the concepts you are dealing with.
If you have any queries related to the various points stated in this article, then feel free to let me know in the comments below. I will try to get back to you with a response as soon as possible.
Check out some of my other articles that you might enjoy reading!
Answering 10 Most Commonly Asked Questions About Artificial Intelligence
Pros And Cons Of Data Science In 2021
Thank you all for sticking on till the end. I hope you guys enjoyed reading this article. I wish you all have a wonderful day ahead!