On July 20, 2017, IEEE Spectrum released the fourth Top Programming Language Interactive Ranking List. Because there are various rankings for different languages, IEEE Spectrum ranks popularity based on different variables. According to IEEE Spectrum, their ranking is based on data provided by data reporter Nick Diakopoulos, combined with 12 criteria from 10 online data sources, and ranked 48 languages.
Python 's ranking has continued to rise with the help of artificial intelligence since last year, and now it has become the first .
The popularity of Python continues... Do you think Python is really good? Perhaps you have seen these in the publicity: simple grammar close to English; simple development environment, you can write code by typing; numerous third-party libraries; interpretation and execution, no compilation required; Responsible programmer, what I want to tell you is: no matter how simple a language is, you have to learn it to be able to master it. Don’t work hard on whether it is good or not, but on how to learn it. So, without further ado, let's take a look at the amazing language Python.
Part 1: Languages used in various fields.
Everyone read this content, in fact, you can obviously find that, in fact, each language has its uses. We can say that Python is the most widely used. But for the time being, it cannot be said that it is omnipotent, because it also has its shortcomings, but for ordinary small companies and small projects, it is rare to be omnipotent. There is a very strange phenomenon now, that is, everyone has made Python a myth. As a language, Python does have its advantages. However, it is recommended that you learn a second language while learning this language well, so that you will have a good development in the future.
Part II: What is the position of Python engineers in the enterprise?
Four important orientations: verification algorithm, rapid development, test operation and maintenance, and data analysis .
1. Verification algorithm : It is the verification of some common design algorithms or formulas of our company , and the formula is coded. ,
2. Rapid development : Everyone should be familiar with this. Rapid development is to use mature frameworks and less code to develop websites . Python has a large number of mature frameworks in the front and back of the website, such as django, flask, bottle, tornado , flask and django are widely used. Domestic websites developed with Python include: Zhihu, Douban, Scallop, Tencent, and Alibaba ;
3. Test operation and maintenance : As an operation and maintenance student, you should know that daily operations in Linux operation and maintenance work cover monitoring, deployment, network configuration, log analysis, security detection, and many other aspects, all-encompassing. Python can write a lot of scripts to maximize the behavior of "operation".
4. Data analysis : Python has three artifacts: numpy, scipy, and matplotlib . Many of the bottom layers of numpy are implemented in C language, so the speed is very fast. Using it to participate in various mathematical modeling competitions can completely replace r language and MATLAB. Both spark and Hadoop have Python interfaces, so using Python to do mapreduce for big data is also very simple, plus py supports databases very well, or ORM like sqlalchemy is also very powerful and easy to use.
Part III: Python jobs, salary, and skill requirements What are the Python jobs?
The main positions are:
Python full-stack development engineer (10k-20K)
Python operation and maintenance development engineer (15k-20K)
Python senior development engineer (15k-30K)
Python big data engineer (15K-30K)
Python machine learning engineer (15k-30K)
Python architect (20k-40k)
Currently the most widely used: full-stack development, data analysis, operation and maintenance development, do you know what their respective requirements are?
Let's look at two job requirements:
Position 1:
Job Requirements
1. Bachelor degree or above in computer and software related majors, and more than 3 years of work experience;
2. Familiar with python and JS development language ;
3. Ability to design and optimize MySQL database, familiar with more than one of mongoDB, mc, redis , etc.;
4. Familiar with Linux/Unix , capable of shell programming ;
5. Good learning ability, time and process awareness, communication skills, teamwork
Job definition: Python operation and maintenance development
Post 2:
Job Requirements
1, Familiar with Python programming , Linux system , shell programming ;
2, Understand one or more django/web.py/flask frameworks;
3. Have certain experience in Web back-end development , familiar with the development mode of front-end and back-end separation, familiar with the use of relational database and basic design optimization methods;
4. Bonus points for good coding style and testing habits: There are open source projects on GitHub
Job definition: Python full-stack development
So, let’s take a look, what are the similarities and differences in the basic requirements of these two positions ?
The first level: Python's basic syntax and standard library Since you want to know how to develop python, the syntax foundation and library are the most basic.
The second layer: Linux basic full-stack and operation and maintenance involve the operation of linux server, which requires the basic ability of shell programming and linux basic operation .
The third layer: database operation database operation: SQL, Nosql , data storage and processing, is the common addition, deletion, modification and query.
The fourth layer: the implementation of web front-end , including web front-end skills, understanding or familiarity with HTML, CSS, Javascript, Bootstrap, jq, nodejs. Not to mention the full stack, operation and maintenance development involves a visual interface.
The fifth layer: the framework and library foundation of basic python
The sixth layer: Algorithm design and job search preparation The core of learning a technology and advanced is algorithm design .
Let’s talk about the salary and analysis of the employment situation of Python in the city and country:
Recruitment treatment, salary 20000-29999 accounts for the most, reaching 40%. Experience requirements, 3-5 years of work experience requirements accounted for the most, reaching 71%; education requirements, bachelor degree requirements accounted for the most, reaching 76%. This data is for reference only.
Python salary is calculated according to work experience, among which 0-2 year salary is ¥13060, fresh graduate salary is ¥4210, 3-5 year salary is ¥15220, 6-7 year salary is ¥23860, and 8-10 year salary is ¥23860. 25220, salary over 10 years ¥14170, this data is for reference only.
The above is an analysis of Python career needs, salary positions and common positions. Welcome to leave a message and discuss.