Julia Programming Language - From Zero to Expert

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Dr. Mohammad Nauman

3:31:44

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01.01-introduction.mp4

02:28

01.02-installation.mp4

03:14

01.03-packages and interactive notebook.mp4

04:57

02.01-basic syntax variables and operations.mp4

11:07

02.02-control structures iterations and ranges.mp4

04:24

02.03-data structures in julia listsarrays tuples named tuples.mp4

09:50

02.04-dictionaries (maps) and symbols in julia.mp4

03:49

03.01-arrays matrices tensors reshaping helper functions.mp4

16:09

03.02-data type details casting among types.mp4

02:49

04.01-defining functions overloading multiple-dispatch.mp4

12:20

04.02-anonymous functions (and their importance) splatting and slurping.mp4

09:44

04.03-functional programming broadcasting-most important concept in julia.mp4

11:06

04.04-interfacing with python and r.mp4

04:11

05.01-plotting basics-prettier julia plots.mp4

05:17

05.02-data wrangling reading csv files descriptive case study.mp4

14:09

05.03-further data manipulation apache arrow grouping and analysis.mp4

19:19

06.01-case study clustering for housingmap data.mp4

10:24

06.02-classification with decision treesrandom forests.mp4

09:55

07.01-writing a neural network from scratch in a few lines.mp4

16:05

07.02-multiple layers state-of-the-art in a few more lines.mp4

07:36

07.03-case study mnist modifying data for model avoiding pitfalls.mp4

14:15

07.04-mnist continued creating the deep model training and testing.mp4

09:04

07.05-saving and loading models exploring more options.mp4

05:39

08.01-where to go from here pointers for further learning.mp4

03:53

9781803230719 Code.zip

Description

The objective of this course is to give you a strong foundation needed to excel in Julia and learn the core of the language as well as the applied side in the shortest amount of time possible.

We won’t waste time with the theory of why Julia is fast. We will jump right into the details and start coding. You will quickly realize how easy it is to learn this state-of-the-art and promising language. You will see how you can start using Julia to excel in your current job without moving the whole stack to Julia immediately.

After explaining the basic concepts, we jump to case studies in data science and then machine learning. We apply both traditional machine learning models and then get to deep learning. You will see how Julia can help you create deep learning models from scratch in just a few lines of code and then move on to the state-of-the-art models without spending too much time.

This way, you get to learn the most important concepts in this subject in the shortest amount of time possible without having to deal with the details of the less relevant topics. Once you have developed an intuition of the important stuff, you can then learn the latest and greatest models even on your own!

By the end of the course, you will have a strong understanding of Julia programming language fundamentals.

The code files are available here: https://github.com/PacktPublishing/Julia-Programming-Language---From-Zero-to-Expert-

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Programming Fundamentals

Dr. Mohammad Nauman

Instructor's Courses

Dr. Mohammad Nauman has a PhD in computer science and a PostDoc from the Max Planck Institute for software systems. He has been programming since early 2000 and has worked with many different languages, tools, and platforms. He holds extensive research experience with many state-of-the-art models. His research in Android security has led to some major shifts in the Android permission model.He loves teaching and the most important reason he teaches online is to make sure that maximum people can learn through his content. Hope you have fun learning with him!

PacktPub

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Packt is a publishing company founded in 2003 headquartered in Birmingham, UK, with offices in Mumbai, India. Packt primarily publishes print and electronic books and videos relating to information technology, including programming, web design, data analysis and hardware.