Which one is more difficult, python or matlab?

If you are a student or researcher, such as studying signal processing, then it is better to use matlab. There are a large number of ready-made toolboxes and predecessors' achievements that you can learn from. If it is a productized project, then Python is better. It can be used as a web backend and can be packaged into an application. Its efficiency is slightly higher than that of Matlab.

If you are a signal or data engineer, it is recommended to master both. They are not complicated. They are scripting languages ​​and are easier to learn than C or other languages. .

The following is a comparison of their respective applications. (Recommended learning: Python video tutorial)

1. Advantages of python

The biggest advantage of Python over Matlab: free. People at home may not care much about this, but abroad it is a very critical issue.

Python’s second biggest advantage: open source. You can change a lot of the algorithmic details of scientific calculations.

Portability, Matlab is inevitably inferior to Python. But if you mainly do research, the demand in this area should not be high.

Third-party ecology, Matlab is not as good as Python. For example, 3D drawing toolkit, GUI, more convenient parallelism, using GPU, Functional, etc. In the long run, Python's scientific computing ecosystem will be better than Matlab.

The language is more beautiful. In addition, if you have certain OOP requirements and build a larger scientific computing system, it will definitely be much simpler to use Python directly than a hybrid solution using Matlab.

As a general-purpose programming language, python can be used to build the Web, build a crawler, write scripts, and write small tools for a wide range of uses.

2. Advantages of matlab

Academia uses matlab extensively for simulation. It is easy to find code references when doing research;

The syntax is more flexible than python Some, there is basically no routine for writing programs in matlab. The so-called old man’s word for matlab is just one word, do it;

has simulink. Some people say that simulink is useless, but it is actually quite useful, such as communication modeling. In addition, simulink can produce DSP or FPGA code, which is sometimes very useful.

MATLAB can perform matrix operations, draw functions and data, implement algorithms, create user interfaces, connect programs in other programming languages, etc. It is mainly used in engineering calculations, control design, signal processing and communication, and images processing, signal detection, financial modeling design and analysis and other fields.

3. The difference between the two

Python is a general language, while matlab is more like a platform.

When you are struggling with which library should be used for Python, which IDE, how to change the IDE to Chinese, why the IDE has bugs, and whether it can be written interactively. Matlab has completed from entry to modeling.

For more Python-related technical articles, please visit the Python Tutorial column to learn!

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