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2025-01-21 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > Development >
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This article shows you how to save Python developers a lot of time. It is concise and easy to understand. It will definitely make your eyes shine. I hope you can learn something from the detailed introduction of this article.
Python is a beautiful language that inspires users to love it. So if you're trying to join the ranks of programmers, or you're a little tired of C++, Perl, Java, and other languages, I recommend you try Python.
Python has many features that appeal to programmers, it is easy to learn, object-oriented, bytecode compiled, free and open source. There are also runtime checks. Complete and fast support for extensions that can perform various tasks.
Efficient Python
1. Do not use semicolons
The use of semicolons is optional in Python, and unlike other object-oriented languages, you do not need to use semicolons after every statement.
This may seem simple and doesn't seem like much time saving; but once your code grows to thousands, these semicolons become distracting and unnecessary to type.
2. Find a code editor that's good for your hands
Choosing a hand-picked code editor can save you a lot of time. Faced with so many code editors, many novices will feel confused.
Getting used to one editor and then using another can be confusing, so picking a good one is a good place to start. Whichever you choose, support flake8 and PEP8 in real time.
Which Code Editors Do Pythonists Use?
3. Follow Python code specifications
Following Python code specifications improves code readability and saves time reviewing code. (Python's design philosophy emphasizes readability of code.)
4. Use the help() function
Python's help() is a built-in function that is readily available to save a lot of time, such as finding explanations for other functions. You can run this function directly from the interpreter terminal.
Python documentation has more uses for this function.
5. using the library
Python has plenty of libraries so you don't have to build wheels every time.
For example, you can choose from a large number of available packages from PyPI (Python Package Index), which is a software repository.
Scikit-image is a great example of how image processing tasks like blurring, contrast enhancement, and scaling can be accomplished with just a few function calls.
6. Using Cookiecutter
Cookiecutter is a command-line tool that helps you create Python projects from project templates, which can save a lot of time.
7. strict annotation
Developing the habit of writing comments can save you and others time, especially for debugging traces. (Yes, we hear a lot, but it seems that many programmers still need to be reminded.)
Comments are critical in teamwork, especially if one makes a lot of changes.
8. test often
Try testing every component of your program. It sounds like a bit time-consuming, but running it for long periods of time can save you a lot of time, help you find hidden bugs, give you more confidence in your code, and force you to understand how each piece of code works in real life.
REPL is a read-eval-print loop, a common code testing tool that many Pythonists use.
9. Focus and professionalism
Pythonists recommend having a focus area and expertise. You can do a lot of things with Python, from writing webcams to processing calculations and algorithms.
There are already a number of libraries available to help with these tasks, such as SimpleCV, computer vision processing;Biopython, a library of biological computations; and SymPy, a library of mathematical notation computations.
Dive into areas like these and master a specific framework that helps you learn Python at a deeper level, master a specific code style (mentioned in Part 3), and deal with specific types of problems.
10. Code every day
When you get into the habit of writing python code every day and solving problems in python, you start thinking in python, which will eventually help you solve problems faster, so to speak.
summary
In this short article, I've listed the main tips I've gleaned from conversations with python developers, and here are some other tips I can add.
Participation in Python events and gatherings
Make sure to attend every event and meeting you can attend. They are useful for sharing experiences, *** practices, tools and other interesting topics.
This may not seem like an easy strategy, but learning from others 'experiences by suggesting, hinting, and cracking is another way to avoid duplicating the wheel.
PyConf, which happens once a year, is a great place to know about events.
Thinking on paper
Thinking on paper--before diving directly into code--will give you flexibility to make changes. Writing code directly forces you to think about implementation details from the beginning, which is often not a good use of your time when starting a project. Thinking on paper is an attention-liberating way to brainstorm and solve problems!
That's how Python developers can save time. Have you learned anything? If you want to learn more skills or enrich your knowledge reserves, please pay attention to the industry information channel.
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