After working for many years, I have summed up a few wild sidelines

During the holidays, I got together with my friends and talked about the changes in each of them in the past two years. The experience of my friends surprised me!

Two years ago, he was an editor with a monthly salary of 5,000, and now he easily achieves the small goal of a monthly income of 5,000.

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It turns out that I learned Python programming in my spare time. I can write codes to crawl a large amount of data, make various professional charts, and data analysis reports...

He has improved rapidly at work, and can also use his spare time to do private work, earning 50,000 yuan a month easily.

Two days ago, I checked the circle of friends and found that the professors of the Chinese Department of Zhejiang University had already started to learn Python, which led a group of students to learn.
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And also found an interesting phenomenon:

The more knowledgeable people are, the more they love to learn, and the more highly paid industries (data analysis, finance, financial industry) the more people learn.

This is not just a personal learning for programmers, but a necessary skill for all professionals and even job seekers.

Even since Python was included in the college entrance examination , even elementary school students have started to learn it.

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At this year's "Two Horses" meeting, Ma Yun also proposed:

Faced with computers becoming smarter and smarter, how humans have more wisdom to use technology requires learning computer languages, which has become a daily study like Chinese, arithmetic, and English.

But more practically, learning to program is for me to

better employment

make money better

leave work early

Create one more possibility for your career!

We must understand:

20 years ago, learning English was not for becoming a translator; 10 years ago, learning computer was not for becoming a typist;

Today, learning programming is not to become a programmer, but to enhance our competitiveness in the workplace!

Moreover , the application of Pythony in our daily office scenarios - information collection and data analysis has become very common. It has long been no longer the exclusive skill of programmers. Programming has almost become a necessary skill in the workplace.

01.

college student job hunting

One of my operation interns recently discovered that even if you are not a computer major, you can earn more than 10,000 a month with your Python skills , and you can even use it to make money by crawling papers.

Because after seeing the autumn recruitment information of many companies, she was surprised to find that many positions in large factories, although not related to the position of programmers, still wrote in the recruitment JD: familiarity with python programming , such a condition.

Some seniors even got 5 offers because of Python

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02. Do finance/administration

It is necessary to use Python to complete the statistics and analysis of huge report data, even including attendance .

03. Financial industry

Python has almost become a standard configuration for financial practitioners .

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04. Do operations

You must be able to use python to capture competing product data and make reports, which is 10 times faster than others' various collection speeds.

Some people even wrote 100,000+ explosive articles

0 experience 0 foundation, how to learn technology to make money?

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.
( python part-time resources + python full set of learning materials )

1. Learning routes in all directions of Python

The technical points in all directions of Python are sorted out 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 can learn more comprehensively.
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2. Essential development tools for Python

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3. Python video collection

Watching zero-based learning videos is the quickest and most effective way to learn. Following the teacher's ideas in the video, it is easy to get started from the basics to the in-depth.
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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.insert image description here

5. Python exercises

Check the learning results.
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Finally, don't let go of the enthusiasm you started at that time, and become stronger and better together.

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Origin blog.csdn.net/libaiup/article/details/130338723
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