To say that the language that has become popular in the past two years is not Python. From elementary school to the workplace, everyone learns Python, and no one misses it.
However, just when everyone was fighting with Python, a senior boss said from the bottom of his heart: Don't learn Python ! because ...
Never learn Python,
Because it "lives too little"!
If you want to be a workaholic in the eyes of your boss, fight late into the night with your colleagues. Don't learn Python, because with it, there is too little work.
Li Moufang, the boss of Zhihu, talked about his bitter and true feelings of doing Python in the past few years:
"Python is too efficient. I spend every day from 9 to 6 in middle school, and I have to find something interesting to do from time to time. If I have nothing to do, the attribute will explode if I have nothing to do, otherwise I can't explain to my superiors. I also want to thank the boss here. I met some good leaders who encouraged me to learn more. As a result, I gradually changed from being a soy saucer to a "fire-fighting god". I spent half an hour to solve things that others couldn't handle, and it turned out to be a perfect solution without knowing it. The core person everyone trusts..."
from the jealous stare
Never learn Python,
Because it "hurts feelings"!
As the above-mentioned big brother Li Moufang said, because Python is too efficient, it will bring a series of "hurtful incidents".
for example:
When you leave work on time, have you considered the colleagues around you who are still working hard?
You are obviously not working overtime, but you are getting a salary increase. Have you considered the situation of the leader? Don't your colleagues think that the boss is giving you a little trouble?
You have worked for the same three years, and you still have a salary of 8k when you are a child, but you have easily exceeded 10,000, or even 20k+. You said, do you dare to say your salary loudly to stimulate your colleagues, your relatives and friends? (Of course, it may just be a treat for you~)
From Jealous Gaze X2
Never learn Python,
Because it "doesn't do its job properly"!
Python is a professional skill, but it is also a compound ability. Many people who use Python have used its development method after using it:
1. Some people use it to analyze stock market data, earning 20% lying down. The K-line analysis is clear, big data can analyze high-quality stocks at once, and easily assemble a stock portfolio with an annualized return rate of 20%.
2. Some people use it to automate processes. As early as 2012, I learned to write automated trading programs in Python and earned 2 million in Bitcoin China.
3. Some people use it to find information. Products use it to crawl competing products, marketing uses it to crawl hot search keywords, and finance uses it to organize tables... The data is collected comprehensively and carefully, and there are even automatic visual reports.
Based on the above, whether you want to learn Python or not, you can figure it out for yourself~
Python is
becoming more and more popular, and it is not far from the era when all people learn Python. There are so many python application scenarios, whether it is a main business or a side business or anything else, so you don’t have to be overwhelmed by too many skills. I have a copy here. A full set of Python learning materials, I hope to give some help to those who want to learn Python!
1. The learning route of all directions of Python
The route of all directions of Python is to sort out the technical points commonly used in 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. Make sure 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 videos
When we watch videos and learn, we can’t just move our eyes and brains without doing it. 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 do practical exercises in order to apply what you have learned to practice. At this time, you can learn from some practical cases.
5. Interview materials
We must learn Python to find a high-paying job. 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. Brush After completing this set of interview materials, I believe everyone can find a satisfactory job.
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