MATLAB vs Objective-C

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MATLAB

1K
689
+ 1
37
Objective-C

12.4K
6.4K
+ 1
490
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MATLAB vs Objective-C: What are the differences?

Introduction

In this article, we will compare and contrast MATLAB and Objective-C, highlighting the key differences between the two programming languages.

  1. Syntax: MATLAB has a simpler syntax that is more similar to mathematical notation, making it easier for users with a mathematical background to write code. On the other hand, Objective-C has a more complex syntax with a larger number of keywords and symbols, which may be challenging for beginners.

  2. Purpose: MATLAB is primarily used for numerical computation and data analysis, with a focus on matrix operations and mathematical functions. Objective-C, on the other hand, is a general-purpose programming language that is used for developing applications, particularly those targeted for Apple's iOS and macOS platforms.

  3. Development Environment: MATLAB provides an integrated development environment (IDE) that offers an interactive interface for executing code and analyzing results. Objective-C, on the other hand, is typically used with Apple's Xcode IDE, which provides a comprehensive set of tools for building, debugging, and profiling applications.

  4. Platform Compatibility: MATLAB is a cross-platform language that can run on different operating systems, including Windows, macOS, and Linux. Objective-C, however, is primarily used for developing applications for Apple devices and is not natively compatible with other platforms.

  5. Memory Management: MATLAB uses automatic memory management, where memory allocation and deallocation are handled by the system. Objective-C, on the other hand, uses manual memory management, requiring developers to explicitly allocate and release memory, which can be more complex and error-prone.

  6. Library and Frameworks: MATLAB provides a vast collection of built-in functions, toolboxes, and libraries for a wide range of scientific and engineering applications. Objective-C, on the other hand, offers a rich set of frameworks specifically designed for iOS and macOS development, including user interface, networking, and multimedia frameworks.

In summary, MATLAB is a specialized language suited for numerical computations and data analysis, while Objective-C is a general-purpose language primarily used for developing applications for Apple devices. MATLAB has a simpler syntax and automatic memory management, whereas Objective-C has a more complex syntax, requires manual memory management, and provides platform-specific frameworks.

Decisions about MATLAB and Objective-C
Lucas Litton
Founder & CEO at Macombey · | 7 upvotes · 185.4K views

Expo was a tool Macombey really wanted to utilize from the beginning. I have been working with React Native since 2016 and originally I had to use simulators in Xcode, install pods on top of node packages, configure certificates, and more abundant objectives that take time away from actual development. As a development studio, we have to move quick and get projects to our clients and partners in a matter of months.

Expo made this easy for us. We now have a mobile app for clients to download and test their project on, there is no need to install pods or configure Xcode, and development is super fast and reliable now.

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Noel Broda
Founder, CEO, CTO at NoFilter · | 5 upvotes · 232.4K views

1 code deploys for both: Android and iOS. There is a huge community behind React Native. And one of the best things is Expo. Expo uses React Native to make everything even more and more simple. Awesome technologies. Some other important thing is that while using React Native, you are reusing all JavaScript knowledge you have in your team. You can move easily a frontend dev to develop mobile applications.

A huge PRO of Expo, is that it includes a full building process. You run 1 line in the terminal, and 10 minutes after you have 2 builds done. Double check EAS Expo.

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Pros of MATLAB
Pros of Objective-C
  • 20
    Simulink
  • 5
    Model based software development
  • 5
    Functions, statements, plots, directory navigation easy
  • 3
    S-Functions
  • 2
    REPL
  • 1
    Simple variabel control
  • 1
    Solve invertible matrix
  • 212
    Ios
  • 115
    Xcode
  • 62
    Backed by apple
  • 47
    Osx
  • 40
    Interface builder
  • 10
    Good old fashioned ooe with a modern twist
  • 2
    Goober, please
  • 1
    Object-oriented
  • 1
    Handles well null values (no NullPointerExceptions)

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Cons of MATLAB
Cons of Objective-C
  • 2
    Parameter-value pairs syntax to pass arguments clunky
  • 2
    Doesn't allow unpacking tuples/arguments lists with *
  • 2
    Does not support named function arguments
  • 1
    UNREADABLE

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What is MATLAB?

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 Objective-C?

Objective-C is a superset of the C programming language and provides object-oriented capabilities and a dynamic runtime. Objective-C inherits the syntax, primitive types, and flow control statements of C and adds syntax for defining classes and methods. It also adds language-level support for object graph management and object literals while providing dynamic typing and binding, deferring many responsibilities until runtime.

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What companies use MATLAB?
What companies use Objective-C?
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What tools integrate with MATLAB?
What tools integrate with Objective-C?

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What are some alternatives to MATLAB and Objective-C?
R Language
R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques, and is highly extensible.
NumPy
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.
Octave
It is software featuring a high-level programming language, primarily intended for numerical computations. Octave helps in solving linear and nonlinear problems numerically, and for performing other numerical experiments using a language that is mostly compatible with MATLAB.
Tableau
Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
Python
Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.
See all alternatives