Python It's very hot now , The grammar is simple and powerful , Many students want to learn Python！ Recently, a lot of friends have asked me , learn Python What should be done , What kind of position . The following are the troubles of some students in our work circle ：
Change careers as soon as possible
There are many similar problems in the above group , I invited some guests from different positions to share their experience , Let's talk about my sentiment ：
1). Changing careers is like climbing a tree
It is really necessary to change careers as soon as possible , When I was young , The cost of trial and error is small , Even if you go the wrong way, you can turn back ！ After all, I haven't climbed a tree for a long time , It doesn't hurt if you fall down . If you're old and you've been climbing a tree for too long , Dare not come down ！ Afraid of falling , Because it's too high , Too long off the ground , The courage to do it again is insufficient .
2). Dead scold 80 after
There is a joke on the Internet , Say the boss can scold desperately 80 The employees after graduation , But I dare not scold 90 The employees after graduation , The reason is because 80 Many of the latter are 35 Over the age of , Home and mouth , It's all about the old and the young , The burden is heavy , And there are mortgages , Dare not change jobs easily , So it doesn't matter to scold ！ however 90 Not after , Say no, don't do it ！ The truth of this passage will not be scrutinized , But it has revealed the crisis of many middle-aged programmers .
3). It's nice to be young , But have a direction
The saying that youth is capital is right , Especially in the Internet industry , When you were young, you had no family , More time , And they are full of energy and energy , The ability to learn is relatively strong , Working overtime and staying up late is no problem ！
But most young people I don't know what I like , I don't know which way I should go , If you're lucky , The first job into a good unit or into a good industry , Bad luck , After that 3 Years before I knew that I had taken a detour ！
It would be nice if I knew I had taken a detour , I was afraid 6-7 I found that I had taken a detour , I found that the boat I was waiting for was going to sink , What do I do ...
4). graduation 3 Year is the key
The gap between people is that after graduation 3-5 year . Especially in the field of programmers , Some people say they eat youth food , I don't quite agree , But it does not deny ！ The programmer 35 After the age of, you can't still play the yard farmer at the bottom , Or at least not repetitive work , You can try architecture , It can be trying to manage , You can try to run ！ But it just can't be repeated year after year and day after day coding, No improvement, no breakthrough , You're just 10 Years of experience, not 10 Years of working experience ！
Two Python Distribution of job recruitment quantity
If you really want to enter Python field , Let's look at it from the perspective of data , Which direction will you choose to win more , After all, I'm afraid of detours when I change careers . I am from the number of posts , City and maximum annual salary ( mean value ) Simple analysis of several dimensions .
1.Python The number of jobs required
2.Python The most popular city for recruitment
basic Python All the posts are in Hangzhou , The demand of Hangzhou is obviously greater than that of Guangzhou .
3.Python The annual salary of the post
Here to 5000 Sample data of multiple positions are analyzed , I take the maximum annual salary and take the average to count . Find out AI The post salary is still far ahead . The annual salary of machine learning post is over 30 Million is very common , What's better is 50W, More than data analysis and reptile jobs 50%, AI salaries are really fat ！
3. The detailed distribution of each post is as follows
1). Reptile post
2). Data analysis position
3). Machine learning and data mining
4). The backend development
in summary , dry Python The highest salary in this line is machine learning data mining , If the recruitment is widespread Python The backend development , It will be easier to find a job , Because of the amount of data ！ If you just want to be a crawler , Because pure reptiles demand fewer and fewer jobs , Maybe a combination of crawling and data analysis , There will be more to win .
Python The technical points in all directions are sorted out , Form a summary of knowledge points in various fields , The use of it is , You can find the corresponding learning resources according to the above knowledge points , Make sure you learn more comprehensively .
reminder ： Limited space , Packaged folder , The way to get it is ： At the end of the article ！！！！
Watch the zero basics learning video , Watching video learning is the quickest and most effective way , Follow the teacher's ideas in the video , From foundation to depth , It's still easy to get started .
Optical theory is useless , Learn to knock together , Do it , Can you apply what you have learned to practice , At this time, we can make some practical cases to learn .
Check the learning results .
We learn Python Must be to find a well paid job , The following interview questions are from Ali 、 tencent 、 The latest interview materials of big Internet companies such as byte , And the leader Ali gave an authoritative answer , After brushing this set of interview materials, I believe everyone can find a satisfactory job .
This full version of Python A full set of learning materials has been uploaded CSDN, Friends can scan the bottom of wechat if necessary CSDN Officially certified QR code 【100% Free access 】
