Python is a more readable and efficient language, especially when compared to languages such as java,php and C + +, which makes it popular among developers.
Admittedly, it's a bit old, but it's still gen Y-at least not as old as Cobol or Fortran. And if it comes in handy, why bother changing it (especially when there are so many ways to improve its performance)?
In fact it depends on how you look at it, and the lifeline itself is a good thing-it means it's stable and reliable.
If you are starting your career from java,c or Perl, like many others, the curve of learning Python is basically nonexistent. However, the fact that Python is easy to get started makes some people unaware that Python should also be a necessary programming skill.
I want to be honest with you, my love for Python has only started a few years ago. Without experiencing long-term pain lessons, we will not be thankful for the language and all that it has to offer on its platform. The purpose of my writing this essay is to save you from the same pain and to understand why you need to understand Python.
- Python is easy to learn
Well, it's "easier" than many other programming languages that you can use. Python's language doesn't have much of a ritual, so even if it's not a Python expert, you can read its code. My experience is that it's easier to learn and teach Python by example than by using the same approach as Ruby or Perl, because Python has much less syntax and special processing scenarios.
It focuses not on the richness of language performance, but on what you want to accomplish with your code.
Python allows you to build more features with a small amount of code
Python can give all developers a quick learning experience. With practice, you can easily implement a game with basic functionality within a maximum of two days (which is still not fully understood in programming).
Another factor that makes Python a compelling programming language is its readability and efficiency.
- Python is a versatile language and a platform
Python is 28 years old this year. Although it looks like it has been going on for a long time, it is still highly focused because it can be applied to quite a few software development and operation scenarios that you can imagine today. Do you want to manage your local or cloud infrastructure? Python can. Development site? OK, it can do the same. Need to process a SQL database? OK. Need to customize a feature for Hive or Pig? Can do. Just want to build a gadget for myself? Python is the best choice. Need a language that supports object-oriented design? Python's features can be fulfilled. In short, knowing a little bit more about Python will give you the ability to adapt to a broader range of job roles.
- Python has one of the most mature package repositories
Once you know the language, you can take advantage of this platform. Python is backed by PyPI (read as Pie-pie, available online), a repository of more than 85,000 Python modules and scripts that you can use immediately. These modules distribute pre-packaged functionality to your native Python environment, which can be used to address a variety of issues such as database processing, computer vision implementations, advanced data analysis such as dimensional analysis, or building restful Web services.
- Python is widely used in the field of data science
No matter what kind of work you do, data will be part of it. It, software development, markets, and so on--they are all deeply related to data and thirst for wisdom. Data analysis skills will soon be as important as coding skills, and Python plays a key role in two areas. Python, next to the R language, is the most commonly used language in modern data science. In fact, in the field of data science, Python's job requirements exceed the R language. The skills that you develop when you learn Python will be converted directly and used to build your own analytical skills.
- Python is a cross-platform and open-source
Python can run across platforms and has been open for more than 20 years, and if you need code to run on Linux,windows and MacOS at the same time, Python will be able to meet the requirements. In addition, decades of tinkering and continuous improvement are backed up to ensure that you can run your own code at your own whim.
- Python is flexible.
There are some stable implementations of Python that are integrated with other programming languages.
CPython, with the C integrated version.
Jython, a Python version integrated with Java.
IronPython, designed to be compatible with. Net and C #.
Python notation under the Pyobjc,objectivec tool.
Rubypython, a Python version integrated with Ruby.
Summarize:
There are not many languages that can provide diversity and simplicity like Python; There is less to continue to evolve and to prosper the community for decades. Whether you're a beginner in coding or a master of scripting, you need to know about Python.
7 reasons you should learn Python
