
Explore how julia blends simplicity, power, and efficiency for scientific computing and machine learning. See its just-in-time compiler, open-source nature, and easy interoperability with Python, C, and Fortran.
Explore Julia case studies across industries, including Pfizer heart failure simulation, astronomical image analysis, network reliability with the Flux library, glaciology dye thickness mapping, Cisco security, and MIT robotics.
Install Julia on Linux, Windows, or macOS from official sources, then install the IJulia package to run Julia in a Jupyter notebook and execute code.
This lecture is about comparing speed of julia with python. You will be shocked.
Explore string handling in Julia, covering characters, Unicode and ASCII values, 1-based indexing, slicing and substrings, conversions, and determining string length.
Explore the difference between arrays and tuples by examining how a variable x can be modified in one case and not in the other, highlighting mutable versus immutable behavior.
Explore dictionaries in Python, mapping country names to capitals, creating and updating entries, accessing values by keys, handling missing keys with get, and removing items while viewing keys and values.
Explore conditional statements in Julia, using if, else, elseif, with relational operators, membership tests, and logical operators. Learn about short-circuit evaluation and how conditions control code execution.
Explore error handling in Julia, including undefined variables, out-of-bounds indices, and dimension mismatches, then learn to use try, catch, finally, and manual throw for robust programs.
Explore creating and layering plots in Julia using blocks, generating x values and random y values, plotting lines and scatter plots, and customizing titles, labels, and layouts with backend tools.
Explore interfacing Julia with Raspberry Pi via GPIO, install Julia and the GPIO package with Pkg, and run a Julia script to blink an LED on a Pi pin.
Explore variable scope in Julia, from function blocks to the global keyword, revealing how a variable defined outside a function can affect inside a module and cause errors in loops.
In this course you are going to learn Basic Julia to Intermediate Julia Programming in less than 2 Hourse.
Course Content:
Why is Julia build?
Julia vs Python
Who uses Julia and What they are saying?
Installation and Package Management in Julia.
Basic Syntax (Println, readline, String handling)
Data Structures (Array, Tuple and Dictionary)
Conditions and Loops
Error Handling
File System Handling and DateTime Functions
Data Handling and Plotting
I am sure , once you do this course , you will have an edge over others.
Julia is called future python because of its speed and simplicity and integration with others.