How to become a Python programmer with a monthly salary of more than 50k? I tell you from my own experience

Some friends asked, how to become a programmer with a monthly salary of more than 50k? That's a good question, let me answer it. Our programmers are a relatively modest group as a whole. We think that if we can't get a high salary, it is basically because our technical level is not enough. So we start to reflect on ourselves and think about how to improve our skills. But later, when I became a boss, I realized this fact: Whether you can get a 50k plus offer really depends not only on your technical level, but also on what type of company you can go to. There are basically only two types of companies that can pay programmers high salaries: large factories and entrepreneurial enterprises.

Let me talk about the big factory first. Everyone knows that the software and APP it develops affects a wide range of people, so they have so much profit and money, and they are willing to give more money to employees to attract some relatively high-level programmers. These costs are shared by users, which is nothing. So they have money and are willing to spend it, but if the same programmer jumps from a big factory to a small company, such as our company, we can't afford to give him an offer of 600,000 yuan, up to 300,000 yuan. The ability is the same, but the salary is half before and after. This is not because we do not recognize his technical ability, but because our company is too small, the profit is not so much, and we cannot afford such an expensive programmer. Moreover, it may be difficult for this person to take advantage of his value in a small company. In a large factory, he writes a function, and many people use it once it goes online, but in a small company, it is used by tens of thousands of users once it goes online, and it is difficult for programmers to use their skills in this case.

The second type of companies that are willing to pay high salaries are some start-ups. They are really willing to give money, some of my students are in this type of company. In order to develop quickly, they have to recruit a group of programmers in a hurry, and quickly develop product iterations and go online to grab the market, so they are willing to spend a lot of money. Some even have more than big factories, because giving more money is the best solution for such companies to quickly recruit excellent talents. They don't have the name of a big factory, and they are anxious to recruit people, so they can only increase their salary, even more than the big factory. Therefore, just because they may give more than the big factories, those who could have gone to the big factories are willing to consider them. In short, if you want to get an offer of 500,000 plus, you have to stare at these two types of companies. There are very few other markets that can afford it. In fact, it's not that difficult, as long as you have a formal undergraduate degree and do more algorithm questions, you'll be fine.

The following is a summary of what Python has learned:

  • Learn the core syntax of Python and the use of common libraries, such as Numpy, Pandas, Matplotlib, Scikit-learn, etc.
  • Having a certain grasp of data structures and algorithms can improve code efficiency and execution efficiency.
  • Good coding habits and teamwork skills, communication and exchange skills are also very important.
  • Mastering front-end skills and database knowledge can greatly improve employment competitiveness.
  • Only by continuous learning and practice can we continuously improve our ability and competitiveness.

In short, the employment prospects of Python programmers are very broad. As long as you have enough skills and experience, you can get a relatively satisfactory salary. But it should be noted that the accumulation of skills and experience takes time and hard work, and requires continuous learning and practice.

The employment prospects of Python programmers can be said to be very good. With the development of artificial intelligence, big data, Internet of Things and other fields, Python, as a high-level programming language suitable for various fields, is widely used in data analysis, scientific computing, machine learning, etc. favored by developers. Therefore, the employment prospects of Python programmers are very good.

To become a Python programmer with a relatively satisfactory salary, you need to have certain skills and abilities. First of all, you need to master the core syntax of Python and the use of common libraries, such as Numpy, Pandas, Matplotlib, Scikit-learn, etc. These libraries are widely used tools for Python in data analysis, machine learning and other fields. Secondly, you need to have a certain grasp of data structures and algorithms, which can not only help you better understand and use Python, but also improve code efficiency and execution efficiency. In addition, having good coding habits and teamwork skills is also an essential ability, because in actual development, it is necessary to continuously collaborate with team members, and the ability to communicate and communicate is also very important.

In addition to the above basic abilities, if you can master some front-end skills and database knowledge, your employment competitiveness will also be greatly improved. With the development of web development, mobile application development and other fields, front-end skills are getting more and more attention. Mastering front-end skills can allow Python programmers to better participate in various projects. At the same time, database knowledge is also very important. Python programmers need to understand the basic concepts and operation methods of databases. Mastering some database-related knowledge can better develop various applications.

In short, the employment prospects of Python programmers are very broad. As long as you have enough skills and experience, you can get a relatively satisfactory salary. However, it should be noted that the accumulation of skills and experience takes time and hard work, and requires continuous learning and practice in order to continuously improve one's ability and competitiveness.

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Origin blog.csdn.net/2301_77139641/article/details/130546808