The most complete Python job in the current direction

Source: Internet
Author: User
Tags appium

Python is an object-oriented programming language that compiles very quickly, from birth to now for 25 of years. It has a rich and powerful library, often referred to as the "glue language", that can easily connect a variety of modules written in other languages, especially C + +. It is characterized by its flexible use, as it has a large number of third-party libraries, so developers do not have to reinvent the wheel, just like building blocks, as long as they are adept at using these libraries to do most of the work.

If you want to choose a language to get started programming, then Python is definitely the first choice! It is very close to natural language, simplifying a lot of unnecessary semicolons and parentheses, very easy to read and understand. Programming is straightforward, more suitable for beginners to focus on programming logic, rather than confusing to obscure grammatical details, which is much easier than Java, C #, and C + + programming languages.

As a result, even non-computer majors or small white with no foundation can get a minute of getting started.

Python's rankings have continued to rise since last year with the help of AI, which has now become the first. The heat of Python is also driving the jobs of engineers. According to statistics, the starting salary for junior Python engineers is now generally 10-20k.

Now let's read about the career direction of learning Python language and the future development of Python language.

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Development Prospect One: Linux operation and Maintenance

The test tools and processes implemented in Python include the server-side, client-side, Web, andriod, clients automated testing, automated performance testing execution, monitoring and analysis, common selenium appium and other frameworks.

Linux operations are necessary and must master the Python language, Python is a very NB programming language, it can meet the needs of Linux operations engineers to improve the efficiency of the overall and improve their capabilities, operations engineers need to independently develop a complete automation system, This is the real value of the embodiment, to prove their ability to let the boss attention.

Development Prospect II: Python Web site Engineer

We all know that the web has always been a non-negligible existence, we can not leave the network, without the web, the use of Python framework to do the site, but also some beautiful front-end interface, and we need to master some of the application of data.

Development Prospect III: Python Automated Testing

As we all know, the Python language is very helpful for testing, the use of Python in automated testing is very wide, it can be said that Python is too powerful, master and familiar with automated processes, methods and the various templates we use, so far, I know that Python uses most of the automation tests.

Development Prospect Four: Data analysis

We all know that now comes the Big Data era, the data can explain all the reasons for the problem, now a lot of data analysis is not so simple, Python language has become the first choice for data analysts, it can also bring great efficiency to work.

Python has three major artifacts: Numpy,scipy,matplotlib, which numpy many bottom-level use of C language implementation, so fast, with it to participate in various mathematical modeling contest, can completely replace the R language and MATLAB. Spark,hadoop all open the interface of Python, so it is very simple to use Python to big Data mapreduce, plus the py is very good for database support, or similar sqlalchemy orm is very powerful and useful.

Development Prospect Five: Artificial intelligence

We all know that the robot made by Google has defeated a go master, this is the artificial intelligence, of course, our artificial intelligence era has not come, if this day, life and the world will be earth-shaking changes, and now the development so fast, the era of artificial intelligence will not be too far.

Python is a language compiled with Lisp and Java. By comparing lips and Python in the Norvig article, the two languages are very similar to each other, with only a few small differences. There is also the Jpthon, which provides access to the Java image user interface. This is the reason why Peternorvig chose to use Jpyhton to translate the program in his AI books. Jpython allows him to use portable GUI demonstrations, and portable http/ftp/html libraries. Therefore, it is well suited as an AI language.

The above is currently a few good Python development plans and prospects, so that you learn Python has a process, not disoriented.

Python is an object-oriented programming language that compiles very quickly, from birth to now for 25 of years. It has a rich and powerful library, often referred to as the "glue language", that can easily connect a variety of modules written in other languages, especially C + +. It is characterized by its flexible use, as it has a large number of third-party libraries, so developers do not have to reinvent the wheel, just like building blocks, as long as they are adept at using these libraries to do most of the work.

If you want to choose a language to get started programming, then Python is definitely the first choice! It is very close to natural language, simplifying a lot of unnecessary semicolons and parentheses, very easy to read and understand. Programming is straightforward, more suitable for beginners to focus on programming logic, rather than confusing to obscure grammatical details, which is much easier than Java, C #, and C + + programming languages.

As a result, even non-computer majors or small white with no foundation can get a minute of getting started.

Python's rankings have continued to rise since last year with the help of AI, which has now become the first. The heat of Python is also driving the jobs of engineers. According to statistics, the starting salary for junior Python engineers is now generally 10-20k.

Now let's read about the career direction of learning Python language and the future development of Python language.

Development Prospect One: Linux operation and Maintenance

The test tools and processes implemented in Python include the server-side, client-side, Web, andriod, clients automated testing, automated performance testing execution, monitoring and analysis, common selenium appium and other frameworks.

Linux operations are necessary and must master the Python language, Python is a very NB programming language, it can meet the needs of Linux operations engineers to improve the efficiency of the overall and improve their capabilities, operations engineers need to independently develop a complete automation system, This is the real value of the embodiment, to prove their ability to let the boss attention.

Development Prospect II: Python Web site Engineer

We all know that the web has always been a non-negligible existence, we can not leave the network, without the web, the use of Python framework to do the site, but also some beautiful front-end interface, and we need to master some of the application of data.

Development Prospect III: Python Automated Testing

As we all know, the Python language is very helpful for testing, the use of Python in automated testing is very wide, it can be said that Python is too powerful, master and familiar with automated processes, methods and the various templates we use, so far, I know that Python uses most of the automation tests.

Development Prospect Four: Data analysis

We all know that now comes the Big Data era, the data can explain all the reasons for the problem, now a lot of data analysis is not so simple, Python language has become the first choice for data analysts, it can also bring great efficiency to work.

Python has three major artifacts: Numpy,scipy,matplotlib, which numpy many bottom-level use of C language implementation, so fast, with it to participate in various mathematical modeling contest, can completely replace the R language and MATLAB. Spark,hadoop all open the interface of Python, so it is very simple to use Python to big Data mapreduce, plus the py is very good for database support, or similar sqlalchemy orm is very powerful and useful.

Development Prospect Five: Artificial intelligence

We all know that the robot made by Google has defeated a go master, this is the artificial intelligence of the early stage, of course, our artificial intelligence era has not come, if this day, life and the world will be earth-shaking changes, and now develop so fast, artificial intelligence era is not too far.

Python is a language compiled with Lisp and Java. By comparing lips and Python in the Norvig article, the two languages are very similar to each other, with only a few small differences. There is also the Jpthon, which provides access to the Java image user interface. This is the reason why Peternorvig chose to use Jpyhton to translate the program in his AI books. Jpython allows him to use portable GUI demonstrations, and portable http/ftp/html libraries. Therefore, it is well suited as an AI language.

The above is currently a few good Python development plans and prospects, so that you learn Python has a process, not disoriented.

The most complete Python job in the current direction

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