Python is a beautiful language that can beInspire users to love itSo if you are trying to join the ranks of programmers or you are a bit bored with C++, Perl, Java and other languages, I recommend you to try Python. So if you're trying to join the ranks of programmers, or if you're a little tired of C++, Perl, Java and other languages, I recommend trying Python.
Python has a lot to offer programmers that appeals to thefunctionality 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 perform a variety of tasks.
Efficient Python
In this post, I want to highlight some of the areas where Python can save time and maximize productivity. In preparation, I consulted a few Pythonists on their top time-saving tips. The answer is here...
1. No semicolons
The use of semicolons is optional in Python; in contrast to other object-oriented languages, you don't need to use a semicolon after every statement.
This seems simple and doesn't seem to save much time; but once your code volume scales to thousands of numbers, these semicolons become distracting and unnecessary to type.
2. Find a competent code editor
Choosing a competent code editor can save a lot of time. With so many code editors out there, many newbies feel lost.
Getting used to one editor and then using others can be confusing, so picking a competent one is a good starting point. Whichever one you choose, support it in real timeflake8 respond in singingPEP8。
For editor selection guidelines, please refer to the articleWhich Code Editors Do Pythonists Use?
3. Follow the Python code specification
Follow Pythoncode specificationIt can improve the readability of the code, thus saving time in reviewing the code. (Python'sdesign philosophy Emphasize the readability of the code.)
4. Using the help() function
Python's help() is a handy built-in function that can save you a lot of time, such as looking up explanations of other functions. You can run the function directly from the interpreter terminal.
Python DocumentationThere are more uses of this function.
5. Use of libraries
Python has tons of libraries to keep you from having to build the wheel over and over every time.
For example, you can start with the PyPI(Python Package Index) selects a large number of available packages, which is a software repository.
Scikit-image is a good example of how it enables image processing tasks such as blurring, contrast enhancement, and scaling to be accomplished with just a few function calls.
6. Use of 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
Getting into the habit of writing comments can save you and others time, especially for debugging traces. (Yes, we hear a lot about this, but it seems like a lot of programmers still need reminding).
Annotations are critical in teamwork, especially one that makes a lot of changes.
8. Regular testing
Try testing every component of your program. It may sound time-consuming, but running it for a long time can save you a lot of time, help you find hidden bugs, make you feel more comfortable with your code, and force you to understand how each piece of your code works in real-world situations.
REPL is a read-eval-print loop, a common code testing tool used by many Pythonists.
9. Focus and specialization
Pythonists all recommend having an area of specialization and expertise. You can do a lot of things with Python, from writing web cams to working with computations and algorithms.
There are already a large number of libraries that can help with these tasks, such as the SimpleCV, computer vision processing;Biopython, is a library of biological calculations;SymPy, is a library of mathematical symbolic calculations.
Diving into areas like these and mastering a particular framework helps you learn Python at a deeper level, mastering a particular style of code (already mentioned in Part III), and dealing with particular types of problems.
10. Daily coding
When you get into the habit of writing python code and solving problems in python every day, you'll start thinking in python, so to speak, and that will ultimately help you solve problems faster.
summarize
In this short article, I've listed the main tips I've gathered from conversations with python developers, and here are the rest of the tips I've been able to add.
Participate in python events and gatherings
Make sure to attend every event and gathering you can. They are beneficial for sharing experiences, best practices, tools and other interesting topics.
This may not be a frugal strategy on the surface, but learning from other people's experiences through advice, hints, and hacks is another way to avoid building the wheel over and over again.
once a yearPyConf It's a good place to know what's going on.
Thinking on Paper
Thinking on paper -- doing so before diving straight into the code -- will give you the flexibility to make changes. Going straight to the code forces you to think about the details of the implementation from the start, which is often not the best use of your time when starting a project. Thinking on paper is a great way to free up your attention for brainstorming and problem solving!
Mastering the Basics
This last one may seem obvious, but be sure to invest the time to learn the basics of Python. This will save you a lot of time in the end, as you'll be better prepared for more complex topics.
Some good books that can help with this include:
Learning Python.
Introduction to Python Programming: Introduction to the Python computer language and computer programming.
It is also important to keep the information about it fresh by reading blogs and articles. A great blog to follow up on isThe Mouse Vs. The Python.