At present, python can be said to be a very popular programming language, and its application scope is also very wide. However, the current competition is not too big, the salary is quite high, and the future development is also very good.
But if you don't know much about the python industry, it is difficult to achieve the expected effect by blindly buying books, reading books and watching videos, and even in the mid-term stage, you may have the idea of giving up.
Many beginners also fall into the misunderstanding of learning because of these reasons, so how should beginners learn Python, and how long does it take to learn Python?
How should Python be learned? I myself started learning Python from scratch at first, so I would like to share with you the learning ideas and methods of Python.
1. The 4 stages of learning Python
There is no exact answer to how long it takes to learn Python. This varies from person to person, so I roughly divide the process of learning Python into four stages, and tell everyone when to learn what. As for the time and progress of learning, it is up to you up.
Phase 1: Understand the basics of Python programming
The first thing you need to understand is variables, programming specifications, basic grammar, etc. This is the premise to ensure that you can start writing Python code.
The second is data structures, strings, lists, dictionaries, and tuples . These also need to be very proficient, because data types will run through your learning and using Python.
The second stage: learning Python functions and process control
When you have learned Python functions and control statements, you can try to solve real problems, learn how to realize judgment and looping, and how to encapsulate fixed functional modules into functions. These are all necessary to ensure that you write code condition.
Functions mainly learn the methods of definition, calling and parameter passing , and can proficiently write functions to realize different functions corresponding to them. This process pays more attention to details, so repeated practice is required.
For flow control , you need to master conditional statements and looping statements , which can be used in different scenarios, and know the process of judgment and loop implementation. After learning these, it is almost the same.
The third stage: actual combat with Python
When it comes to actual combat, this is related to the understanding of third-party libraries, because in this way you can use Python to accomplish more things, such as using pandas for data processing, using BeautifulSoup to write crawlers, using Flask to build websites, and using matplotlib for data visualization analysis …
Proficient use of third-party libraries can save you a lot of time, because these are used by everyone, so they are more stable and less prone to bugs. You don’t need to write code yourself. You can delete and modify other people’s code and use it yourself. That’s okay, if you want to learn crawlers or build websites, you need to know other knowledge, the more you learn, the more you will learn.
Phase 4: Deep learning about Python programming
If you just want to use Python to complete some simple work tasks, the first three stages of learning are almost enough, because you can already perform basic data analysis, web crawlers, and write tool scripts, which are more than enough to improve work efficiency.
But if you want to develop into a deeper field and aim to change employment, then you have to choose a direction you are optimistic about and study in depth. You need to understand the advanced features of Python, such as iterators, generators, and decorators. Classes and object-oriented concepts.
Going deeper, you can explore the implementation principles of Python, performance optimization methods, jump out of the language itself, and understand the interaction principles of computers. There is still a long way to go. This is not a process that can be achieved in a short time. You also need to be mentally prepared Prepare.
2. Three tips for learning Python efficiently
1. Determine the learning direction
The purpose of learning Python is not only to understand the language, but the most important thing is to learn to use this language to solve problems.
So you can think about what you want to do before learning, whether it is data analysis, web crawler, artificial intelligence, or website construction, because the application direction of Python is too wide.
It is obviously unrealistic to learn everything at once, and after learning the basics of Python, will the things to be learned be different in different application directions? You have to think about this in advance.
2. Clarify the employment direction of Python
Because there are many jobs related to Python, here I will briefly summarize what you need to do with Python in the work of different industries, and also give you employment as a reference
- Back-end programmers: use it for a single website, and the background service is easier to maintain.
- Automated testing: written as a simple implementation script, used in Selenium/lr to realize automation.
- Data analyst: rapid development and rapid verification, analyze data to get results.
- Website development: build the website by yourself with the help of django and flask framework.
- Automated O&M: Automatically handle a large number of O&M tasks.
- Game developers: generally embedded in the game as a game script.
You don’t have to worry about getting a job after learning Python. There may be some differences in salary and treatment in these industries, but overall it is still very good. I will not say which direction is the best to develop. Learn what you are most interested in.
3. Planning Python learning route
This learning route is what is the goal of each part mentioned above, what knowledge points need to be learned, and what knowledge is temporarily unnecessary. You need to make a learning plan according to your actual situation.
Ensure that each part of learning can have actual output, and use the output of learning results to form positive stimulation and motivate subsequent learning.
Anyway, there is only one purpose: learn Python basics, functions, object-oriented, modules, and other Python knowledge from shallow to deep.
Here are some Python learning materials for you, including basic installation packages and learning tutorials, and some projects suitable for beginners to practice. You can take them away if you need them. Maybe they can help you learn Python!
It may take years to become an expert Python programmer, but it only takes a few weeks to lay a solid foundation, and if you follow my advice and practice consciously, you have a good chance of success!
About Python Technical Reserve
It is good to learn Python whether it is employment or sideline business to make money, but to learn Python, you still need a study plan. Finally, everyone will share a full set of Python learning materials to help those who want to learn Python!
1. Learning routes in all directions of Python
The route of all directions in Python is to organize the commonly used technical points of Python to form a summary of knowledge points in various fields. Its usefulness lies in that you can find corresponding learning resources according to the above knowledge points to ensure that you learn more comprehensively.
2. Learning software
If a worker wants to do a good job, he must first sharpen his tools. The commonly used development software for learning Python is here, which saves you a lot of time.
3. Introductory learning video
When we watch videos and learn, we can’t just move our eyes and brain without using our hands. A more scientific learning method is to use them after understanding. At this time, the hands-on project is very suitable.
4. Practical cases
Optical theory is useless, you have to learn to follow along, and you have to do it yourself, so that you can apply what you have learned to practice. At this time, you can learn from some actual combat cases.
5. Interview materials
We must learn Python to find high-paying jobs. The following interview questions are the latest interview materials from first-line Internet companies such as Ali, Tencent, and Byte, and Ali bosses have given authoritative answers. After finishing this set The interview materials believe that everyone can find a satisfactory job.
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