Shulou(Shulou.com)06/01 Report--

Do you want to learn Python very much, on the one hand, you are entangled in trivia, and you have not been able to start, on the other hand, you are worried that the cost of learning is too high, and you are silently beating the drum in your heart?

Fortunately, Python is a beginner-friendly programming language, and you don't have to spend much time and effort to master it completely.

One of Python's design philosophies is that it's easy to learn in two ways:

1) Simple and clear grammar: Compared with other languages, its grammatical features are not many, most of them are very simple and direct, do not play metaphysics.

2) There are many entry points: Python allows you to do a lot of things, scientific computing and data analysis, crawlers, Web sites, games, command-line utilities, etc. There is always one that you are interested in and willing to invest time in.

Python is easy to learn, but when it comes to self-learning Python, there must be these prerequisites:

1) Know what programming language is, have a foundation in other languages, or have successfully taught other languages;

2) Logical thinking ability is still relatively important. After all, program design focuses on design, not a group of code stacks;

3) Be able to insist on writing dozens of lines of code every day or even more, uninterrupted, do not give up, study, consciously after learning is a lot of practice, practice can be their own online search, can also be their own book/course video imitation, thinking, analysis of the results of things.

Basically able to do 2 of the above 3 points, then self-study python should not be a problem, but as for whether to systematically self-study python, or according to the python career development path, the following is a simple comb Python entry to the application route:

1. Python entry

This part mainly contains Python basic syntax, data types, data structures, object-oriented Python programming; This part of the learning ability for good people, not a problem, because they are a single technical point, followed by some online ready-made resources, plus their own daily code drill, learning should not be a problem, of course, if you want to understand the core technical point of the principle, mechanism, etc., you need to consult Python official documentation and technical sites, and even view Python source code, which requires the ability to learn in depth; Therefore, at this level, learning and learning will directly affect the next step of learning.

2. Confirm the direction

After you get familiar with Python, you can start to determine your direction, whether to learn Python for Python development or Python automation testing.

Development has a development route: Python web development, you need to master the use of various Python WEB frameworks, be able to build a small site independently is the goal of your study to this step;

Python testing directions mainly include: python-based UI WEB testing, mobile testing, interface testing, performance testing, which also involves python automation frameworks in each domain, open source third-party libraries such as selenium , appium, locus, etc.

Python's Scientific Computing Library

At this point, we can also expand based on the above foundation. For those with outstanding learning ability, coding ability, logical thinking and excellent design ability, we can completely consider learning Python's scientific calculation library. This is the only way to big data, data mining and data analysis. Of course, it is also the capital that can double your salary. This stage is very demanding for your own ability. It is really not easy to learn well.

4. Python AI applications

After that, there are applications of python AI, machine learning, deep learning and other artificial intelligence-related technical fields. This field involves a wide range of fields. Those who have the ability to learn can first choose an AI route, such as image recognition, motion recognition and other purposeful exploration and learning.

5. In-depth stage

At this stage, you are almost familiar with Python basics, but the algorithm design of Python objects, crawler tool design, and understanding of Python applications mentioned above are relatively low-level. At this time, you can not stay on the surface, bravely open Python's black box, deep into the language's interior, in order to truly understand its design ideas.

Summary:

The above briefly describes the route of python"system" learning. Can you learn by yourself or rely on your own ability? In the first stage, people with strong ability should have little problem in self-learning. From the second stage, it depends on their own ability, because this time it is not a single thing, but the integration and application of diversified technologies.

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