How to become paying Python programmer? What good habits need to have? Getting Started with Python is simple, powerful, is recognized as the best era of artificial intelligence programming language. Many people optimistic about the future of Python choose to join the study, but some people worry about is good Python employment. As long as you actually solid theory, rich and have good programming practice hands-on experience, high salary is not a problem. Below one thousand Feng Xiao Bian gave you share the good habit of paying programmers have.
1, well in advance of project files archive
Do not covet convenience when starting a new job, the Code, Data, documents are concentrated in one folder. This looks messy, backtracking process is very painful, if it was computers, files are all running to die, modify the path itself is painful.
2. Do not manually modify the source data and make a backup
We need a good backup of the source data to help us next time backtracking, may be the next operation or modification of the intermediate steps, and, on the other codes and other documents also need to be backed up to avoid accidental loss. Popular backup tools Git version control system, Rsync backup files, Dropbox cloud storage, Time Machine Time Machine.
3 is configured correctly, good path
Many students at the time of writing are like direct path absolute path, although not a problem under normal circumstances, but if the code is shared with other people learning or running when the problem comes, are in many cases can not be directly run through. It is recommended: Use a relative path, the path global configuration variables.
4, efficient use of abnormal capture tool
Abnormal positioning bug for example, generally debug, we may feel are in place to have a problem, go to the printout, look at what the actual output, and thinking the problem, which requires us to change the code, change very carefully, compared directly add a decorator, it is very troublesome.
5, consider the code robustness
The robustness of the code is that it can stand up to all kinds of abnormal test scenarios, exception handling work by the "capture" and "throw" of two parts. "Capture" refers to the use of a particular parcel try ... except statement, proper completion of error handling process. And appropriate use raise the initiative to "throw" an exception, more elegant code is an integral part.
In addition to the above, the good habit of paying programmers also include code comments, accelerate Python loop code, visual progress of the loop code. Of course, good habits dependent on good technology, if technology does not pass, you can not be recognized enterprise, not to mention high-paying jobs.