Udemy – Julia Journey 2024-10

Julia Journey course. Are you a Python or MATLAB developer looking to improve your programming skills with an advanced, high-performance language? This course provides a great opportunity to enter the world of Julia – a versatile and fast-growing language that is becoming a leading choice in the fields of scientific computing, data science and machine learning. During this course, you’ll learn the basics of Julia, from understanding data types and control flow structures to working with its powerful function system. You’ll also see how prominent Julia features like multicasting and parameterized types can simplify and speed up your coding process, but at first glance they can be confusing to understand. You’ll learn how to use the package manager and its modules, as well as advanced tools like piping and streaming that help you write cleaner code. These tools are designed to increase your productivity by improving code organization, reusability, and sometimes, performance. By the end of this journey, you’ll have a deep understanding of Julia and enough confidence to apply it to real-world projects.

What you will learn in the Julia Journey course

• Learn how to use Julia’s package manager and modules.
• Learning the difference between Julia data types with Python and MATLAB, leading to concepts such as multiple casting, parameter types and type inference.
• Learn how to identify different types of functions.
• Getting to know the syntax and functionality of the do block, broadcasting and piping.

This course is suitable for people who

• Data scientists, data engineers, and anyone who already has a background in computing (such as Python or MATLAB) and is looking for friendly advice on understanding the features of the Julia language.

Details of the Julia Journey course

• Publisher:  Udemy
• Lecturer:  Noel Araujo Moreira
• Training level: beginner to advanced
• Training duration: 1 hour and 13 minutes
• Number of courses: 17

Course headings

Julia Journey course prerequisites

Course images

Sample video of the course

download link

Download file – 591 MB

File(s) password: www.downloadly.ir

File size

591 MB