Shulou(Shulou.com)06/03 Report--

This article mainly explains "what are the skills of converting C++ to Python". Interested friends may wish to have a look at it. The method introduced in this paper is simple, fast and practical. Next, let the editor take you to learn "what are the skills of C++ to Python"?

C++ is diving, Python is diving.

C++ feels like plunging into a fantastic and mysterious sea-it is so wonderful, but it needs more study and training. Generally speaking, the water you swim across will not be very large. And Python is a bit like scuba diving-you can see its beauty by diving your head into the water, but you don't go too deep, you swim and swim in shallow water, and you can easily swim across a large area. The two languages are so different that the applicable scenarios are also different.

Go deep into C++ and strive to be a survivor

C++ is stricter and will punish you more severely when you make a mistake. An encoding session that has not received a Segmentation fault once is not a valid encoding session. Therefore, you need to know more about computers, compilers, and languages. If you go further, you will be moved by the beauty contained in it, such as the compilation process and memory management.

As a C++ programmer, I am more concerned with syntactic adjustments and strange examples. I always know how I allocate and free memory. The programs I write are more independent because I want to know what's going on inside my code. I mainly think that the code written by others is less reliable, more error-prone, and may increase memory usage.

Vim, GDB, and Valgrind are the main daily tools I use. * Vim has many plug-ins for writing code, and GDB is used for debug,Valgrind to analyze my memory footprint and errors. I compiled with Gmail + and wrote Makefiles myself. At that time, I thought IDE was useless and would slow me down and make me lose the chance to get in touch with the code. In retrospect, I rely heavily on the compiler to find type errors.

A taste of Python

When you turn to Python, the first thing you need to learn is how to let go: you don't know what's going on at the bottom of the code, where memory is allocated and released, but it doesn't matter. You will also be encouraged to use code that is encapsulated as a library written by others, which can help you save time and speed up coding. This does not mean that you need to write code as slow as a snail and rely on unmaintained and non-functional libraries, the key is very different.

When I first started writing code in Python, I wrote C++ in Python. It works, but I don't get any benefit from the language. My programming skills improved when I started writing code in a more Python style and using libraries and more advanced concepts such as generators, decorators, and contexts.

As a Python developer, I tend to look for libraries that solve immediate problems in the first place. Python has a rich repository ecosystem and community support. There are many libraries with special purpose. These are the libraries I often use: NumPy (numerical computation), OpenCV (computer vision), json (reading json files), SciPy (scientific computing), sqlite3 (database).

The tool I use every day is PyCharm with the IdeaVim plug-in (this is an IDE). I started using this tool because it is a powerful debugger that is more friendly than the default Python debugger pdb. I also used pip to install the required libraries. Unless necessary, I generally no longer monitor memory usage.

Some practical skills

If you are a C++ developer and are considering starting Python, here are some of my suggestions:

Get rid of the old habit: stop using the C++ compiler as a debugger. There is no need to over-optimize memory usage. Avoid writing C++-style code. And in any case, don't rely on types anymore.

Form a new habit: start using libraries. Write Python-style code (but not for writing purposes) to ensure that the code is readable. Try to use more complex concepts such as generators, decorators, contexts. Try PyCharm.

Use C++ and Python common libraries: some C++ libraries (such as OpenCV, QT) have Python interfaces. Using the same library in Python is easier than learning a new library from scratch.

Don't forget the original intention: sometimes Python is just too slow or unsuitable for your task, and the C++ experience comes in handy. There are many ways (SIP, ctypes, etc.) that allow you to use C++ code within Python.

At this point, I believe that everyone has a deeper understanding of the "C++ to Python skills", might as well come to the actual operation of it! Here is the website, more related content can enter the relevant channels to inquire, follow us, continue to learn!

Welcome to subscribe "Shulou Technology Information " to get latest news, interesting things and hot topics in the IT industry, and controls the hottest and latest Internet news, technology news and IT industry trends.