10 tips to help you improve your Python programming efficiency

The programmer's time is precious, and the Python language is simple and elegant, but it's not that you use Python programming to be efficient. To save time and improve efficiency, there are a lot of places to pay attention to.

Share with you today 10 tips from a senior Python programmer to help you save your development time significantly.

1. Do not use semicolons

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

This looks simple and doesn't seem to save much time; but once your code expands to thousands, the semicolons become distracting and unnecessary to type.

2. Using the code Editor of the Hand

Choosing a code editor that is called a hand can save a lot of time. Faced with so many code editors, many novice will feel very confused.

It's confusing to get used to an editor and use other editors, so choosing a hand is a good starting point. Whichever you choose, support Flake8 and PEP8 in real time.

3. Follow the Python code specification

Following the Python code specification can improve the readability of your code, saving you time in reviewing your code.

4. Use the Help () function

Python's Help () is a handy built-in function that can save a lot of time, such as finding explanations for other functions. You can run the function directly at the interpreter terminal. Python documents have more use of this function.

5. Use of third-party libraries

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

Scikit-image is a good example of making image processing tasks such as blurring, enhancing contrast, and scaling with only a few function calls to complete.
6. Using Cookiecutter

Cookiecutter is a command-line tool that can help you create a Python project from a project template, which can save a lot of time.

7. Strict comments

Develop a good habit of writing comments that can save you and other people time, especially for debug tracking.

Note working in a team is critical, especially one that has made a lot of changes.

8. Regular testing

Try to test every component in your program. It may sound a bit time-consuming, but a long run can save you a lot of hours, help you find hidden bugs, make you feel more comfortable with your code, and force you to understand how each piece of code works in real-world situations.

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

9. Focus and professionalism

It is recommended to have a focus area and expertise. You can use Python to do a lot of things, from writing web pages to processing calculations and algorithms.

Already have a large number of libraries can help to accomplish these tasks, such as SIMPLECV, computer vision processing, Biopython, is a biological computing library, SymPy, is a mathematical symbol calculation library.

Delve into these areas and master a specific framework that helps you learn Python at a deeper level, mastering a particular style of code and dealing with specific types of problems.

10. Daily encoding

When you get into the habit of writing Python code every day, using Python to solve problems, you start to think in Python, so to speak, it will eventually help you solve the problem faster.

These 10 recommendations must bear in mind, I believe that the efficiency of Python programming will certainly improve.

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