Talk about the technology trends in 2022, what will be popular? What to learn?

foreword

TIOBE programming leaderboard announced that the 2021 programming language award is Python !

In the December 2021 list, the CEO of TIOBE Software predicted that the programming language of the year for 2021 would be C#. But Python's performance is too strong. Since it surpassed C and Java, it has been firmly at the top of the list, and now it is more than 1% ahead of other programming languages!
Top 20 TIOBE Programming Rankings in January 2022
Trend of TIOBE programming rankings over the years
It is also mentioned in the TIOBE programming leaderboard that Python can be the number one language, not only because of its popularity, but also because it is the de facto standard programming language in many fields, and there is no sign that Python's dominance will stop anytime soon!

The implication is obvious, Python will hardly be surpassed by other programming languages ​​for a while! As TIOBE CEO Paul Jansen analyzed: Python is the most popular programming language today because of its ease of learning, huge library, and widespread use in various fields!

At present, Python is not only the back-end programming language favored by many enterprises, but also an excellent tool for processing data in the era of big data!

The era of data economy

Python + big data development talents are hot

In the digital economy era, data is king, not an empty phrase! With the acceleration of digital transformation of enterprises, the data generated has also increased by orders of magnitude, and there is huge value hidden behind a large amount of data. Now, big data has become a strategic resource!

In just 6 years, since the first proposal to implement the national big data strategy in 2015, the scale of my country's digital economy has ranked second in the world! **Development is extremely fast!
Data source: China Academy of Information and Communications Technology, such as intrusion and deletion

Recently, according to the "14th Five-Year Plan" and "Vision 2035", the Ministry of Industry and Information Technology compiled and released the "14th Five-Year Plan" Big Data Industry Development Plan, which pointed out the direction for the future of big data. The digital economy has become a national basic strategic resource with a wide range of application scenarios .

However, the current status quo is that the supply of digital talents in China is relatively small, and enterprises continue to have high demand, resulting in a very large gap in digital talents in China.

Among them, talents related to big data are the most scarce! According to the "New Occupation-Analysis Report on the Employment Prosperity of Big Data Engineering Technicians", it is expected that the demand for big data talents will maintain a growth rate of **30%-40%** before 2025, and the demand for industry talents will reach 2.5 million .

The salary performance is more dazzling, and the company is very generous to snatch talents! According to the latest statistics from the third-party platform Jiyouji, the salary of big data development talents in the country is as high as 23.5k ! In the first-tier city Beijing, it is as high as 30.8k !

The salary of big data development talents is already very dazzling. If you add the skills of Python, the salary will easily exceed 40k!

Seizing high-paying opportunities is actually easy

No matter what you study, there is a scientific study method and a reasonable study plan. Only when you have sufficient preparation for these two points can you learn a new skill well. From entry to mastery, you spend much less time than others, and even with diligent friends, you can be on your own in just half a year.

1. Determine the goal

The hard part in the learning process is not that you are proficient in Python for a few months, but that you are willing to spend a few hours a day doing one thing well, of course, you will also have unexpected gains.

If you want to learn Python, you must first determine your goals, and you will be more motivated to learn if you have goals. For example:

Are you learning Python to change careers?
Want a promotion and a raise?
Or do you want to make a lucrative side business?
If you want to really step into the threshold of Python, this small part is far from enough, and there is more to learn.

Second, practical exercises

There is no need to write questions to learn Python. Don't use your previous learning thinking to learn Python. The most important thing in learning a programming language is practical operation. More hands-on practice is king!

There are many things that can be done by learning Python. Common ones include web crawlers, data analysis, front-end development, and machine learning, which can improve work efficiency very well. If you develop in any field, the job prospects are very good.

3. Getting Started with Python

Python is easy to learn, so there are many people who get started with Python, but easy to learn does not mean that you can learn well. No matter what you choose to study, patience is important in the learning process.

It is also very important to have someone take you when you are just getting started, telling you where to go and how to solve problems when you encounter them, then you will be much more efficient.

Learn not to "work behind closed doors" and communicate more with other people. Maybe you will also encounter problems encountered by others?

The current learning method is actually much more convenient than before. There are many books and tutorials about skills. As long as you want to get started, you will find books and tutorials for getting started.

Here is a complete set of materials for self-learning Python :

1. Python learning roadmap

Just started learning python, if you don't even plan the complete learning steps, it is basically impossible to learn python. The following outline map organizes all directions of Python to form a summary of knowledge points in various fields.

2. Learning software

If a worker wants to do a good job, he must first sharpen his tools. The common development software for learning Python is here, which saves everyone a lot of time.

3. A full set of PDF e-books

The advantage of books is that they are authoritative and systematic. When you first start learning, you can just watch videos or listen to someone’s lectures, but after you finish learning, you think you have mastered it. At this time, it is recommended to read books. Authoritative technical books are also the only way for every programmer.

Four, introductory learning video

When we watch videos to learn, we can't move our eyes and brains without hands. The more scientific way of learning is to use them after understanding. At this time, the hands-on project is very suitable.

5. Practical cases

Optical theory is useless. You have to learn to follow along, and you have to do practical exercises before you can apply what you have learned to practice. At this time, you can learn from actual combat cases.

6. Interview information

We must learn Python in order to find a high-paying job. The following interview questions are the latest interview materials from first-tier Internet companies such as Ali, Tencent, and Byte, and some Ali bosses have given authoritative answers. After finishing this set The interview materials believe that everyone can find a satisfactory job.

This full version of Python's full set of learning materials has been uploaded to the official CSDN. If you need it, you can scan the QR code of the official CSDN certification below on WeChat [free access].

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