Today I want to talk about Python In the algorithm, 、 Back end 、 Application in quantitative work , How to learn ？
I am right and wrong Python major （ One of the sinkholes ）, I began to study as a senior Python, All the way here , Now we are doing big data analysis for leading enterprises in an industry , Frequently used Python Processing data .
Python It is now almost the most widely used programming language , It is mainly because it has been applied in various fields , Although you can't say that you are proficient in all the eighteen kinds of martial arts , But at least there's something to hold out . At home ,Python Probably from 2017 Year begins , because AI、 The rise of big data , Gradually net redness , Much blame IT Praise from practitioners , Of course, it also gave birth to a large number of education and training .
A lot of people are saying Python No job found , What you spend money on is leek . In fact, I believe that most people learn Python, Not counting on Python Looking for a job , It's about solving problems , Develop your own programming skills , As a bonus . As for which positions need python, That's what we're talking about .
Can be used Python What's your job ？
I take my high school 、 Take the experience of several college students as an example , Introduce them to use Python Scene .
1、 classmate A：TOP3 Electronic business platform NLP Algorithm engineer
He was recruited by the school , do UGC Text mining of content , To analyze the comments of e-commerce users 、 Customer service 、 Q & A and other data , Recommend products 、 Make decisions in scenarios such as intelligent customer service . This is a pure algorithmic post , It is very popular in big factories , The package price of school recruitment is fast 50.
During the interview , There are no strict restrictions on which language to use ,Python、Java、C++ Fine , But you need a handwriting algorithm , We will also examine the use of the above frameworks .
classmate A The technology stack that their group is using now is NLP、 Deep learning 、 big data , image nltk、tensorflow、pytorch、hadoop、spark And so on , Are the main tools . Most people in the group use Python, A few big men use C++, Generally speaking, it is OK to run .
I asked my classmates A Why Python, He smiled and said four words “ Life is too short ” ah ,Python Write the script 、 Do a test 、 It's very convenient to run data , Although the running algorithm does not C++ fast , But it doesn't make a big difference , Because they don't need to produce results in real time .
and Python Third party libraries have a large number of NLP、 Machine learning tools ,NLP Domain image nltk、Pattern、Gensim etc. , Machine learning is like sklearn、keras、tf etc. , Very well integrated , Compared with the .
2、 classmate B： A certain head autonomous vehicle enterprise Back end Development Engineer
classmate B I used to work in Party B's software company , Mainly responsible for the development of vehicle software , Later, I didn't want to be involved in Party A web Secure backend , But I found that my life has not become less , Maybe automotive electronics has developed too fast in recent years , Are updating iterations .
Now car companies prefer candidates with computer background , Many technologists who have retired in the tide of layoffs on the Internet have gone to car companies for development 、 Do the product , In fact, it is also a good choice , Catch up with the opportunity of new energy development .
They do security related business back-end development , Usually we mainly use Django、Django RESTFramework、docker Other framework , also MySQL、MongoDB、Redis Such as the database , It's basically based on Python To do development .
Strange to say , Safety products have always been C/C++ Mainly , Occupy most of the scene , Why do they use Python？ I asked my classmates B.
He said you still don't understand , Security area C/C++、Java、Python It has been one of the three mainstream technology stacks , image NTA、 A firewall 、IDS、IPS They all use Python, Some small back-end services will also adopt Python Development .
3、 classmate C： A small fund management company Quantitative analyst
classmate C I spent a year in England , After returning to China, there were several big securities companies 、 Big fund company , All stop at the technical level , Later, I joined a small fund management company in Shanghai , do CTA High frequency quantitative model development , Research and development of trading strategies at ordinary times 、 debugging 、 Optimize 、 Maintenance and monitoring .
He said that he came in to train his technical ability , Pave the way for the big factory , Plus the pressure of performance , So basically every day 996, Write strategy write numbness . We usually have to collect and process data 、 Historical data back testing and risk return assessment , In a word, use people to the extreme .
Because I don't understand Python Application in the financial industry , So I asked him that he must use Python Do you ？
He smiled and said , You can search the recruitment website , Now all those who do analysis and research in the financial industry need programming ability , Most of them require python, Foreign countries like Morgan 、 A big company like Citigroup basically python As a hard threshold .
The field of quantification is basically based on C++ and Python Mainly ,C++ It is generally used to write a large trading framework , Strong stability , And it's fast ,Python Is used to write strategies 、 Running algorithm 、 Validate the model , It also supports the writing of some small applications , Yes C++ Warehouse for packaging, etc .
This is mainly because Python Ecology has a large number of financial data analysis tools , image talib、pandas、numpy etc. , You can quickly quote .
These three students were taken by my side Python As a typical representative of the main tool , In fact, we can see that they are all posts that need comprehensive ability ,NLP Required algorithm 、 Back end development requires security experience , Quantitative requirements can write strategies . So it doesn't mean that they will Python You can find the right job .
Yes Python What are the requirements for competence ？
Python It is used to solve business problems , Therefore, the requirements of different posts must be different , But the premise is to be proficient in Python grammar , For data types 、 Logical statement 、 Function modules 、 class 、 Process threads 、 Error handling 、 Network programming 、 Regular expressions ... These must be well understood .
Here we suggest that you go to the official documents to learn one by one ：
Secondly, we should learn different skills for different positions Python frame , The difficulty of these frameworks is not necessary at all Python Itself is easy , Some large frameworks, such as tensorflow The cost of learning has far exceeded Python grammar .
Reptile Hill ：requests、xpath、beautifulsoup、scrapy、selenuim
Post data analysis ：pandas、numpy、sklearn、matplotlib、pymysql
Algorithm post ：sklearn、keras、tensorflow、pytorch
nlp post ：nltk、Gensim、Pattern
Big data post ：pyspark、pyflink
BI post ：superset、dash
web post ：Django、Flask、Tornado（ Know how to write with this ）、fastapi
Test operation and maintenance post ：os、sys、selenium、pytest、appium、unittest
Front end post ：PyQt、PyGUI、pyecharts、dash、plotly
Other office use ：xlwings、pandas、pptx、docx、email
These are the tools required for the corresponding position , That is to say python Third party library , You can see what you need one by one , Then targeted to learn .
The above is all the content shared this time , Want to know more python Welcome to official account ：Python Programming learning circle , send out “J” Free access to , Daily dry goods sharing
