Ten Suggestions help you improve Python programming efficiency

This article mainly introduces ten suggestions to help you improve the efficiency of Python programming. If you want to improve the efficiency of Python programming, do not miss the programmer's time, although the Python language is simple and elegant, it does not mean that you use Python programming, and the efficiency will certainly be high. To save time and improve efficiency, you still need to pay attention to many aspects.

Today, I will share with you the 10-point suggestions summarized by senior Python programmers, helping you save a lot of development time.

1. Do not use semicolons

The use of semicolons is optional in Python: unlike other object-oriented languages, you do not need to use semicolons after each statement.

This looks simple and does not seem to save much time; however, once your code volume is extended to thousands, these semicolons become distracting and do not need to be typed.

2. Use the Code Editor

Selecting a code editor can save a lot of time. Faced with so many code editors, many new users will feel confused.

It is confusing to use other editors in an editor, so it is a good starting point to select a name. No matter which one you choose, you must support flake8 and PEP8 in real time.

3. Follow the Python code specifications

Following the Python code specifications can improve code readability and save time for code review.

4. Use the help () function

Python help () is a built-in function that is readily available and saves a lot of time, such as searching for explanations of other functions. You can directly run this function on the interpreter terminal. The Python documentation provides more usage of this function.

5. Make good use of third-party Libraries

Python has a large number of third-party libraries, so you don't have to repeat the wheel every time. For example, you can select a large number of available packages from PyPI (Python package index), which is a software repository.

Scikit-image is a good example. It makes image processing tasks such as blurring and enhancing contrast. scaling can be completed only by calling some functions.
6. Use Cookiecutter

Cookiecutter is a command line tool that helps you create a Python project from a project template, which saves a lot of time.

7. Strict comments

Developing a good habit of writing comments can save you and others time, especially for debugging and tracking.

Comments are critical to teamwork, especially when a large number of changes have been made.

8. Frequent tests

Test every component in your program. It sounds a little time-consuming, but long running can save a lot of time, help you find hidden bugs, and make you more comfortable with the code, it also forces you to understand how each piece of code runs in real conditions.

REPL is a read-eval-print loop, a common code testing tool that many Python Experts use.

9. Focus and professionalism

We recommend that you have a dedicated area and expertise. You can use Python to do a lot of things, from writing web pages to processing computing and algorithms.

There are already a large number of libraries that can help complete these tasks, such as SimpleCV, computer vision processing, Biopython, a biological computing library, and SymPy, a mathematical symbol computing library.

In-depth understanding of similar fields and a specific framework helps you learn Python at a deeper level, master a specific code style, and handle specific types of problems.

10. Daily Encoding

When you develop the habit of writing python code every day and solving problems using python, you will start to think about it using python. In this case, it will eventually help you solve problems faster.

These 10 suggestions must be kept in mind. I believe everyone's Python programming efficiency will be improved.