Both Python and MATLAB are commonly used scientific computing tools, but they have many differences.
Python is a general-purpose programming language , while MATLAB is mainly used for numerical calculations . Python's basic data types are as common as general programming languages, but without the Numpy package, there is no longer an array or matrix data type. Whereas MATLAB provides many amazing tools and packages to handle heavy calculations in an easy and efficient way. In addition, Python can use more libraries and packages, such as PyQt and wxPython for GUI, Django and Flask for web. So is MATLAB likely to be eliminated by Python?
Let's first understand MATLAB.
MATLAB is a powerful mathematical software with efficient numerical calculation and symbolic calculation functions, which can free users from complicated mathematical operation analysis. It also has efficient numerical calculation functions and complete graphics processing functions, which can realize the visualization of calculation results and programming. Its user interface and natural language close to mathematical expressions are friendly to beginners and relatively easy to get started. MATLAB is also equipped with a feature-rich application toolbox (such as signal processing toolbox, communication toolbox, etc.), providing users with a large number of convenient and practical processing tools. The courses that use it in university courses mainly include: numerical analysis , engineering mathematics , signal processing, image processing, control system design , machine learning, artificial intelligence, etc. Perhaps most of the courses currently offered by colleges and universities still use MATLAB, and almost no schools use Python to replace MATLAB.
Python, on the other hand, is a general-purpose programming language that can be used for various application development , and can also realize the functions of MATLAB.
Python does have many advantages. But to implement the functions of MATLAB in Python, you need to use the MATLAB Engine API for Python, which allows Python programs to interact with the MATLAB engine. This means you can call MATLAB functions from within Python and use MATLAB data types. Another approach is to use the SciPy library, which is a Python library that contains many tools for scientific computing, including some similar to MATLAB. Of course, the speed of running the same task is definitely different. MATLAB performs particularly well in numerical calculations. The professional toolbox provided can also reflect the profound foundation of MATLAB, but for individuals, if you don’t care about the difference in running speed. You can use MATLAB or Python, and it depends more on your programming habits.
Although Python has become a very popular programming language in recent years, MATLAB still has its unique advantages. MATLAB provides many amazing tools and packages to handle heavy calculations in an easy and efficient way. The higher the professional requirements, the stronger the function of MATLAB, and it is much stronger than the original matlab. MATLAB was always complained about "low performance" in the early days, but in the process of MATLAB language development , the optimization of virtual machines has improved a lot of efficiency.
Overall, each has its own advantages and disadvantages.
As for which one to choose, it also depends on what tasks you need to accomplish. For example, if you want to perform scientific computing or data processing, MATLAB may be more suitable for your needs. And if you need general programming or development, then Python may be a better choice than MATLAB. Although Python is more popular than MATLAB in some aspects, this does not mean that MATLAB will be eliminated by Python. In fact, MATLAB and Python work well together and have their own strengths in many areas. Therefore, MATLAB can only say that some functions can be replaced by Python, but it is not realistic to completely eliminate MATLAB.
Finally, I will directly provide you with a link to the information, whether you choose Python or MATLAB, it is convenient to learn:
I wish you all can keep learning and go further and further on your own path, come on! ! !