MATLAB/Simulink for the Absolute Beginner


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navin prakash


The Eight Benefits of MATLAB

The eight benefits of MATLAB are listed below:

  1. Ease of Use:
    MATLAB is a language that has been interpreted. Programs can be readily written and updated with the built-in integrated programming environment and debugger.
  2. Platform Independence:
    MATLAB is helped on several different computer systems, it offers a great measure of independence from the framework. This language is helped on Windows, Linux, Unix, and Macintosh. Programs written on any system will operate on all of the other systems.
  3. Device-Independent Plotting:
    MATLAB has many integral planning and imaging commands, unlike other programming languages. You can view the plots and photos on any graphical output system assisted by the machine running MATLAB. This skill makes MATLAB an excellent data visualization tool.
  4. Complete collection of abilities:
    To visualize science and engineering information, MATLAB has all the graphical functions required. It provides two-dimensional and three-dimensional diagram representation features, three-dimensional volume visualization, motion, interactive diagram development tools, and the ability to export to some of the most common graphic types. Diagrams can be modified by adding multi-axis, adjusting row colors and markers, inserting annotations, LaTeX expressions, legends, as well as other choices for plotting.
  5. Operating numerical analysis:
    The statistical analysis relies on approximation instead of the reliability, you see in symbolic mathematics. It is difficult to perform some building construction activities without implementing the mathematical solution, and astronomers also seem to make heavy use of everything. You probably won’t see the application of numerical analysis by a carpenter, but you’ll see developers who will need to do so.
  6. Getting involved in science:
    To test new hypotheses, MATLAB is likely to be using it. MATLAB helps you do a “what if” analysis when applying to science, which enables you to confirm a theory’s viability.
    Technology is being used in several various ways, of course. You may be interested in the health sector, for example, and then use research to find the cure for the Ebola virus. A computer scientist might watch for a different approach to use machine technology to assist those with accessibility requirements.
  7. Engaging mathematics:
    Some persons just liked to run with mathematics. This is the reason that there are so many theorems sufficient to address current problems. These people are involved with math in a manner that few others can easily comprehend. MATLAB makes it possible to play with math, to develop innovative methods of just using numbers to needed to execute useful tasks.
  8. Examining research:
    A researcher should persuade peers after a question is posed and a reply is given that the explanation is right and then viable to put into effect. MATLAB helps you to validate the answer and check that it does, as the researcher says, work effectively. The researcher may use MATLAB to further describe precisely how the answer is used after a response is confirmed.
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Sival Alethea

Sival Alethea


Learn Java 8 - Full Tutorial for Beginners. DO NOT MISS!!!

Learn Java 8 and object oriented programming with this complete Java course for beginners.
⭐️Contents ⭐️

⌨️ (0:00:00) 1 - Basic Java keywords explained
⌨️ (0:21:59) 2 - Basic Java keywords explained - Coding Session
⌨️ (0:35:45) 3 - Basic Java keywords explained - Debriefing
⌨️ (0:43:41) 4 - Packages, import statements, instance members, default constructor
⌨️ (0:59:01) 5 - Access and non-access modifiers
⌨️ (1:11:59) 6 - Tools: IntelliJ Idea, Junit, Maven
⌨️ (1:22:53) 7 - If/else statements and booleans
⌨️ (1:42:20) 8 - Loops: for, while and do while loop
⌨️ (1:56:57) 9 - For each loop and arrays
⌨️ (2:14:21) 10 - Arrays and enums
⌨️ (2:41:37) 11 - Enums and switch statement
⌨️ (3:07:21) 12 - Switch statement cont.
⌨️ (3:20:39) 13 - Logging using slf4j and logback
⌨️ (3:51:19) 14 - Public static void main
⌨️ (4:11:35) 15 - Checked and Unchecked Exceptions
⌨️ (5:05:36) 16 - Interfaces
⌨️ (5:46:54) 17 - Inheritance
⌨️ (6:20:20) 18 - Java Object finalize() method
⌨️ (6:36:57) 19 - Object clone method. [No lesson 20]
⌨️ (7:16:04) 21 - Number ranges, autoboxing, and more
⌨️ (7:53:00) 22 - HashCode and Equals
⌨️ (8:38:16) 23 - Java Collections
⌨️ (9:01:12) 24 - ArrayList
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Sival Alethea

Sival Alethea


Full Ethical Hacking Course - Network Penetration Testing for Beginners (2019)

Learn network penetration testing / ethical hacking in this full tutorial course for beginners. This course teaches everything you need to know to get started with ethical hacking and penetration testing. You will learn the practical skills necessary to work in the field. Throughout the course, we will develop our own Active Directory lab in Windows, make it vulnerable, hack it, and patch it. We’ll cover the red and blue sides. We’ll also cover some of the boring stuff like report writing :).
⭐️ Course Contents ⭐️
⌨️ (0:00) - Course Introduction/whoami
⌨️ (6:12) - Part 1: Introduction, Notekeeping, and Introductory Linux
⌨️ (1:43:45) - Part 2: Python 101
⌨️ (3:10:05) - Part 3: Python 102 (Building a Terrible Port Scanner)
⌨️ (4:23:14) - Part 4: Passive OSINT
⌨️ (5:41:41) - Part 5: Scanning Tools & Tactics
⌨️ (6:56:42) - Part 6: Enumeration
⌨️ (8:31:22) - Part 7: Exploitation, Shells, and Some Credential Stuffing
⌨️ (9:57:15) - Part 8: Building an AD Lab, LLMNR Poisoning, and NTLMv2 Cracking with Hashcat
⌨️ (11:13:20) - Part 9: NTLM Relay, Token Impersonation, Pass the Hash, PsExec, and more
⌨️ (12:40:46) - Part 10: MS17-010, GPP/cPasswords, and Kerberoasting
⌨️ (13:32:33) - Part 11: File Transfers, Pivoting, Report Writing, and Career Advice

📺 The video in this post was made by
The origin of the article:
🔺 DISCLAIMER: The article is for information sharing. The content of this video is solely the opinions of the speaker who is not a licensed financial advisor or registered investment advisor. Not investment advice or legal advice.
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Jamie  Graham

Jamie Graham


MATLAB Vs Python: Difference Between Matlab & Python [2021]

One of the trending debates in the scientific and computing community is that is MATLAB vs. Python. Often, people in the scientific community talk about transitioning from MATLAB to Python.

While MATLAB is a robust computing environment for mathematical or technical computing operations involving arrays, matrices, and linear algebra, Python is also gaining popularity in the computing area. This is because Python incorporates MATLAB’s computational power and facilitates speedy and easy development of scientific applications. However, there are some key differences between MATLAB and Python.

In this article, we’ll explore the differences between MATLAB and Python.

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