Python learning method: master the main body, then multiply the branches and leaves, applicable to any field

Everyone's time is precious, and we don't have so much time to read nonsense, and the core of the learning method is actually just a few words, there is no need to use a bunch of professional terms to pile up a lengthy speech, pretending to be profound.

The core of this article is no exception:

1. The way to learn is to learn from the main body and then multiply the branches and leaves;

2. The art of learning recommends Feynman learning method;

3. All of the above are inseparable from subjective persistence and practice.

Of course, it is necessary to spend a little space in order to clarify these points.

way of learning

Tao can be said to be an abstract method of learning. Everyone may have their own understanding of the way of learning, but I personally recommend the way of learning that is the backbone and the branches.

How should we understand this? That is to say, we must first understand the context and master the main path, and then explore the branch paths derived from the main trunk, so as to fully grasp the knowledge.

img

Edit toggle to center

Add picture annotations, no more than 140 words (optional)

The picture above is a simple network diagram made for visual expression. Why a network graph? Because it is more in line with our knowledge structure.

It can be seen from the figure that there are many paths from the starting point of our learning to the end point, and there are infinitely many paths in reality. If we strive to master every knowledge point that appears on the path at the beginning of learning, it is very likely that we will fall into the endless ocean of knowledge, and gradually become confused and lose interest in learning.

Taking Python as an example for data analysis, the Pandas library alone has tens or hundreds of functions, most of which have more than a dozen parameters. If you want to master all these functions and understand the meaning of each parameter at the beginning, Then you will find that after ten days and a half months, you are still at the stage of learning functions, and you cannot even carry out a complete data analysis. Over time, you will give up studying.

The appropriate method should be to first learn the basic functions of reading data, processing data, data visualization, and exporting results. In this way, you will find out which points can be studied in depth when performing the whole process operation , such as how to process data more efficiently, how to draw better-looking pictures, etc., with these clear directions for seeking knowledge, we can better conduct in-depth research. In the next article, we will use Python to conduct a basic full-process data analysis according to this method.

In this way, not only is learning effective, but it will also greatly enhance our perseverance in learning! This method is also effective in any field of study.

art of learning

Technique is a specific method, and there are many kinds of learning techniques. I personally think that Feynman learning method is a good method. There is no need to buy a special book to read about this method, just remember one sentence: you can express the knowledge in your mind in a simple way and teach it to others.

As long as you can implement this point, you will find that you are combing knowledge in your mind all the time, trying to make them structured so that people can understand them at a glance;

epilogue

The way of learning and the technique of learning are irrespective of their importance and they complement each other. The former can make you get twice the result with half the effort, and the latter can make you reach the pinnacle.

Of course, these objective methods are inseparable from our subjective persistence and practice. Without these, the so-called learning methods and learning techniques will be castles in the air and have no practical significance!

What is learning for? In order to better maintain their own existence!

For this reason, never give up learning, and look for a reasonable and suitable learning method!

Guess you like

Origin blog.csdn.net/libaiup/article/details/132511869