Out of so many Python tutorials, and also to tell you a lot about learning skills and methods of the Python programming, do you have any partner or dizzy, want to say to you today about Python jobs pay some of the things, to cheer me up, don’t know to learn, or want to know, what I focus to fill what,
Let me give you a brief introduction of the Python job, salary, and skill requirements
What are the Python jobs? The top jobs are:
Python Full Stack Developer (10K-20K)
Python Operations Development Engineer (15K-20K)
Senior Python Development Engineer (15K-30K)
Python Big Data Engineer (15K-30K)
Python Machine Learning Engineer (15K-30K)
Python Architect (20K-40K)
At present, most applications are: full stack development, data analysis, operation and maintenance development. Do you know what their requirements are?
Let’s take a look at the requirements for three of the positions on a recruitment website:
Python data profiling
Job Requirements:
1. Bachelor degree or above in computer, software or related field, more than 3 years working experience;
2. Familiar with Python and JS development language;
3. Have the ability of MySQL database design and optimization, know more than one mongoDB, MC, Redis, etc.
4. Familiar with Linux/Unix, capable of shell programming;
5. Excellent learning ability, time and process awareness, communication skills and teamwork
Position: Python operations and maintenance development
Job Requirements:
1. Knowledge of Python programming;
2. Understand Linux system;
3. Understand shell programming;
4. Know one or more django/web.py/flask structures;
5. Have some experience in Web back-end development, and understand the development mode of front-end and back-end separation
Understand the use of relational database and basic design optimization methods, understand the common NoSQL database such as MongoDB, Redis, etc.
6. Excellent coding style and testing habits
Pluses:
There are open source projects on GitHub
Job description: Python full stack development
Qualifications:
1. Experience in Developing data processing software in Python;
2. Good command of Python, such as NUMpy, SCIPY, Matplotlib, pandas, etc.
3. Know at least one Sql database (mysql/ SQLServer/Oracle);
4. Love programming and have excellent code style;
5, the secretary has the organization, has the outstanding self-study ability, analyzes the problem and solves the problem ability.
So, we have a look, these three post basic requirements inside, what are the commonalities and differences?
Layer 1: Python’s basic syntax and specification library
Since you are going to develop Python, syntax fundamentals and libraries are essential.
Layer 2: Linux roots
Full stack and operations involve Linux server operations, which require a grounding in shell programming and Linux root operations. In fact, data analysis does not have this layer, involving data collection, that is, crawlers. The full stack requires less Linux base, but more o&M requirements, and some DNS/DHCP, etc. Many enterprises also need a certain o&M working life.
Layer 3: database operations
Database operation: SQL, Nosql, data storage and processing, is the common increase modify check.
Layer 4: Web front end
Front-end implementation, including Web front-end skills, understanding or understanding HTML, CSS, Javascript, Bootstrap, JQ, nodeJS. Full stack aside, operation and maintenance development involves a visual interface.
Level 5: Basic Python structures and libraries
Based on python structure and library to do a variety of implementation, requirements to develop a website or do an automated operation and maintenance monitoring, data analyst based on some visual library and data analysis library.
Level 6: Algorithm design and job preparation
At the heart of learning a skill and progressing is algorithmic design, and most importantly: job hunting
At the third Internet Conference, Robin Li, CEO of Baidu, said: “It is no longer possible for unicorns to emerge through the mobile Internet. As shopping malls have entered a relatively stable development stage, the penetration rate of Internet population has exceeded 50%. The future opportunity lies in artificial intelligence. Indeed, Internet giants have significantly increased their investment in the field of artificial intelligence, striving to be the “leader” in the era of artificial intelligence.
Python, as a programming language, is far more attractive than C#, Java,C,C++. It is nicknamed “glue language” and praised by programmers who love it as “the most beautiful” programming language. Python applications are everywhere, from the cloud, to the client, to the Internet of Things terminal, and it is the first programming language for ARTIFICIAL intelligence. For those who want to learn Python or who are learning Python, the Python Tutorial is ready to learn!