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MATLAB vs NumPy: What are the differences?
What is MATLAB? A high-level language and interactive environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or traditional programming languages, such as C/C++ or Java.
What is NumPy? Fundamental package for scientific computing with Python. Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.
MATLAB belongs to "Languages" category of the tech stack, while NumPy can be primarily classified under "Data Science Tools".
NumPy is an open source tool with 11.1K GitHub stars and 3.67K GitHub forks. Here's a link to NumPy's open source repository on GitHub.
Instacart, Suggestic, and Twilio SendGrid are some of the popular companies that use NumPy, whereas MATLAB is used by Empatica, Wham City Lights, and Walter. NumPy has a broader approval, being mentioned in 63 company stacks & 34 developers stacks; compared to MATLAB, which is listed in 12 company stacks and 23 developer stacks.
Pros of MATLAB
- Simulink20
- Model based software development5
- Functions, statements, plots, directory navigation easy5
- S-Functions3
- REPL2
- Simple variabel control1
- Solve invertible matrix1
Pros of NumPy
- Great for data analysis10
- Faster than list4
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Cons of MATLAB
- Parameter-value pairs syntax to pass arguments clunky2
- Doesn't allow unpacking tuples/arguments lists with *2
- Does not support named function arguments2
Cons of NumPy
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What is MATLAB?
What is NumPy?
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What companies use MATLAB?
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