Tag: Easy

Dip your feet into the amazing world of using Python code to understand vectors and matrices.

Requirements

• Willingness to spend 2-3 hours learning something new!

Description

This course provides an introduction to using Python to learn linear algebra. It is designed for people who have no (or little) previous exposure to Python or to linear algebra.

What is linear algebra?

Linear algebra is the branch of mathematics that deals with vectors and matrices. A vector is a list of numbers, and a matrix is a spreadsheet of numbers.

That sounds really simple, but linear algebra is at the heart of nearly all applied mathematics, including statistics, machine learning, AI, deep learning, image processing, telecommunications, video games, computer graphics, biomedical signal processing, and the list goes on and on…

Why use Python to learn linear algebra?

Many people find math difficult but coding easier. You will be amazed at how much better you can learn math by using Python as a tool.

What will you learn in this course?

You will learn the basics of getting started with using Python and with using Python to learn mathematics. You’ll see an overview of the major topics in linear algebra, although I do not go into a lot of depth on any particular topic.

By the end of this course, you will know enough to decide whether you want to learn more about Python and math.

What do you need to know before enrolling?

Well, you need to know how to use a computer. But you don’t need to know anything about computer programming or linear algebra. The only thing you really *need* for this course is the willingness to dedicate 2-3 hours of your time to learning something new.

What do you have to lose?

The entire course takes 2-3 hours to complete (2 hours of video content, and about an hour to complete the practice problems). This is a great way to see whether you want to continue studying Python for math and linear algebra. And if you decide that this isn’t right for you, then you only spent a few hours on it, rather than investing in tens of hours and money. Really, you have nothing to lose!

Who is your instructor?

I have been teaching data analysis, scientific programming, statistics, and signal processing for almost 20 years. I have several best-seller courses here on Udemy and my courses have well over 10,000 high-ranked reviews (don’t believe me — check out the reviews on this and my other courses!). I take online teaching seriously (although I let a few jokes slip through now and then…), and I remain actively involved in making sure my courses are high quality and up-to-date.

Who this course is for:

• Anyone new to coding or to linear algebra

Course content

3 sections • 11 lectures • 1h 50m total length

Learn Python step by step and with hands on Project

Requirements

• Nothing just Patience and Eager to Learn !

Description

Python is a general-purpose interpreted, interactive, object-oriented, and high-level programming language. It was created by Guido van Rossum during 1985- 1990. Like Perl, Python source code is also available under the GNU General Public License (GPL). This tutorial gives enough understanding on Python programming language.

Why to Learn Python?

Python is a high-level, interpreted, interactive and object-oriented scripting language. Python is designed to be highly readable. It uses English keywords frequently where as other languages use punctuation, and it has fewer syntactical constructions than other languages.

Python is a MUST for students and working professionals to become a great Software Engineer specially when they are working in Web Development Domain. I will list down some of the key advantages of learning Python:

• Python is Interpreted − Python is processed at runtime by the interpreter. You do not need to compile your program before executing it. This is similar to PERL and PHP.
• Python is Interactive − You can actually sit at a Python prompt and interact with the interpreter directly to write your programs.
• Python is Object-Oriented − Python supports Object-Oriented style or technique of programming that encapsulates code within objects.
• Python is a Beginner’s Language − Python is a great language for the beginner-level programmers and supports the development of a wide range of applications from simple text processing to WWW browsers to games.

Characteristics of Python

Following are important characteristics of Python Programming −

• It supports functional and structured programming methods as well as OOP.
• It can be used as a scripting language or can be compiled to byte-code for building large applications.
• It provides very high-level dynamic data types and supports dynamic type checking.
• It supports automatic garbage collection.
• It can be easily integrated with C, C++, COM, ActiveX, CORBA, and Java.

Python is one of the most widely used language over the web. I’m going to list few of them here:

• Easy-to-learn − Python has few keywords, simple structure, and a clearly defined syntax. This allows the student to pick up the language quickly.
• Easy-to-read − Python code is more clearly defined and visible to the eyes.
• Easy-to-maintain − Python’s source code is fairly easy-to-maintain.
• A broad standard library − Python’s bulk of the library is very portable and cross-platform compatible on UNIX, Windows, and Macintosh.
• Interactive Mode − Python has support for an interactive mode which allows interactive testing and debugging of snippets of code.
• Portable − Python can run on a wide variety of hardware platforms and has the same interface on all platforms.
• Extendable − You can add low-level modules to the Python interpreter. These modules enable programmers to add to or customize their tools to be more efficient.
• Databases − Python provides interfaces to all major commercial databases.
• GUI Programming − Python supports GUI applications that can be created and ported to many system calls, libraries and windows systems, such as Windows MFC, Macintosh, and the X Window system of Unix.
• Scalable − Python provides a better structure and support for large programs than shell scripting.

Who this course is for:

• DevOps Engineers
• DevSecOps Engineers
• Developers
• System Administrator
• IT Engineers

Course content

2 sections • 22 lectures • 1h 39m total lengthExpand all sections

Learn Python From the scratch20 lectures • 1hr 19min