Learn what direction Python employment is __python

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Python is an object-oriented programming language, the compiler speed is very fast, from the birth to now has 25 years. It has a rich and powerful library, often referred to as the "glue language", which makes it easy to connect various modules written in other languages (especially C/C + +). It is characterized by its flexible use, because it has a large number of third-party libraries, so developers do not have to reinvent the wheel, 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 with programming, then Python is definitely the first choice. It is very close to the natural language, streamlining a lot of unnecessary semicolons and parentheses and is very easy to read and understand. Programming is straightforward and straightforward, and it's better for beginners to focus on programming logic, rather than obscure grammatical details, which is a lot easier than Java, C #, C + +, and other programming languages.

Therefore, even if the computer is not professional or basic white, can also be a minute to get started.

Python's rankings have been rising since last year with artificial intelligence, and now it's the first place to go. The heat of Python also led to the employment of Engineers. According to statistics, the primary Python engineer's starting salary is generally 10-20k.

Now let's take a look at some of the directions for learning about Python, and the future development of the Python language.

　Development Foreground One: Linux operation Dimension

Test tools and processes implemented in Python, including server-side, client, web, andriod, client-side automated testing, automated performance testing implementation, monitoring and analysis, common selenium appium frameworks.

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

　Development Prospect II: Python Web site engineer

We all know that the web has always been a must not ignore the existence, we can not leave the network, inseparable from the web, using the Python framework to do the site, but are some exquisite front-end interface, as well as we need to master some data applications.

　Development Prospect III: Python Automated testing

As we all know, the Python language is very helpful for testing, the Python language is very versatile in automated testing, and it can be said that Python is too powerful to master and familiarize itself with automated processes, methods, and the various templates we use all the time, so far The most I know of Python should be automated testing.

　Development foreground Four: data analysis

We all know that the time has come to the big data, the data can explain all the reasons for the problem, now many do data analysis is not so simple, Python language as the first choice for the data analyst, it can also bring great efficiency to the work.

Python has three major artifacts: Numpy,scipy,matplotlib, which numpy many of the bottom uses C language to achieve, so fast, with it to participate in a variety of mathematical modeling contest, can replace the R language and MATLAB. Spark,hadoop has a Python interface, so it's very easy to use Python to do the Big Data mapreduce, plus the fact that PY is good for database support, or that an ORM like SQLAlchemy is very powerful and useful.

　　Development Prospect Five: Artificial intelligence

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

Python is a language that is compiled with Lisp and Java. According to the Norvig article's comparison of lips and Python, the two languages are very similar to each other, with only a few small differences. There is also Jpthon, which provides a way to access the Java image user interface. This is why Peternorvig chose to use Jpyhton to translate the program in his AI books. Jpython allows him to use a portable GUI demo, and a portable http/ftp/html library. Therefore, it is very suitable for the artificial intelligence language.

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

Python does not have a very strong problem, but its simple language structure is very widely used, we do not have to learn the difficult Java,python is the best choice, regardless of the above you choose which direction, are not wrong.