Lesson 08: Structures — In Julia programming language, structures provide a powerful way to organize and work with complex data. Structures, also known as composite types, allow us to define custom data types that encapsulate related information and behavior. By leveraging structures, we can enhance code clarity, improve performance, and create more modular and…

Lesson 07: Loops in Julia — Loops are a fundamental concept in programming that allow us to execute a block of code repeatedly. In Julia, there are different types of loops, including for loops and while loops. In this post, we will explore how to work with loops in Julia programming language. For loops A for loop is…

Lesson 06: Working with Strings — In Julia programming language, strings are a fundamental data type used to represent text. They are a sequence of characters enclosed in double quotes. Working with strings in Julia can involve many different operations, such as concatenation, formatting, and searching. …

Lesson 05: Dictionaries — In Julia, a dictionary is a collection of key-value pairs, where each key is associated with a value. Dictionaries are an essential data structure for many programming tasks, such as storing and retrieving data, building indices, and caching results. …

Lesson 04: Tuples — One of the most useful data structures in Julia is the tuple, which is an ordered collection of elements that can be of any data type. Tuples are immutable, which means that once they are created, their values cannot be changed. …

Last night, I was designing a controller for a feedback system and tinkered alot with root locus. It was a hard time remembering what I learnt 3 years ago but here is a way, how we can interpret a root locus. Let’s start from root locus definition: Root locus is…

Lesson 3.2: Manipulating Matrices Using the Colon Operator In Julia, we can use the colon operator to extract elements from a matrix. This feature, which is similar to MATLAB, is very useful during data analysis. Consider the matrix. returned by the statement: A = [1 2 3 4 5; 6…

Lesson 3.1: Manipulating Matrices In Julia, we can define a matrix by typing in a list of numbers enclosed in square brackets. A = [0 1 2 3 4 5 6 7 8 9] Above statement returns a 1 by 10 Matrix. A semicolon is used to add a new…

Lesson 2: Setting Up Your Environment — As the subtitle suggests, this lesson discusses the installation of Julia on a windows machine. Currently stable and Long Term Support (LTS) releases of Julia are available on its official webpage. Follow below mentioned steps to download and install. Go to https://julialang.org/downloads/ Grab the currently stable or LTS release depending…