Getting Started With Julia
Getting Started With Julia, available at $34.99, has an average rating of 3.75, with 49 lectures, based on 112 reviews, and has 944 subscribers.
You will learn about Introduce you to the language and the main concepts: control structures, data types and how to do input and output. Explain how to adapt object oriented thinking to Julia and get you into a more functional way of thinking about programming challenges. Cover many of the amazing ways Julia can increase both developer productivity through parametrized types, macros, code generation and utilizing existing libraries in other languages. Also learn how to write high performance Julia code. This course is ideal for individuals who are While Julia has been designed for technical computing it is a programming language well suited in a number of other areas as well. It is particularly useful for While Julia has been designed for technical computing it is a programming language well suited in a number of other areas as well.
Enroll now: Getting Started With Julia
Summary
Title: Getting Started With Julia
Price: $34.99
Average Rating: 3.75
Number of Lectures: 49
Number of Published Lectures: 49
Number of Curriculum Items: 49
Number of Published Curriculum Objects: 49
Original Price: $109.99
Quality Status: approved
Status: Live
What You Will Learn
- Introduce you to the language and the main concepts: control structures, data types and how to do input and output.
- Explain how to adapt object oriented thinking to Julia and get you into a more functional way of thinking about programming challenges.
- Cover many of the amazing ways Julia can increase both developer productivity through parametrized types, macros, code generation and utilizing existing libraries in other languages. Also learn how to write high performance Julia code.
Who Should Attend
- While Julia has been designed for technical computing it is a programming language well suited in a number of other areas as well.
Target Audiences
- While Julia has been designed for technical computing it is a programming language well suited in a number of other areas as well.
Julia is a new programming language designed for the needs of data scientists, statisticians, scientific computing, and engineers. Usually these disciplines have had to use a variety of of tools and languages:
- Matlab
- Python with Numpy
- R
- C/C++ or Fortran for high performance
With Julia you can replace all these tools with one programming language, since it offers both flexibility and speed.
Julia is a young language with limited documentation and although rapidly growing, a small user community. Most developers today will know the object oriented paradigm used in mainstream languages such as Python, Java and C++. This presents a challenge switching to Julia which is more functionally oriented. This course will not only introduce the language, but also explain how to think differently about problems with the Julia approach.
About the Author
Erik Engheim is a professional mobile developer with experience in many different programming languages, often in combination. Erik Engheim has worked with C/C#, Java, C++, Objective-C, and Swift before moving into Julia. His experience with Julia involves automation, and high performance processing of code strings.
Course Curriculum
Chapter 1: Installation and Setup
Lecture 1: The Course Overview
Lecture 2: Downloading Julia
Lecture 3: Setting up an Editor
Lecture 4: Using the Julia REPL
Chapter 2: Learning Basics in Julia
Lecture 1: Numbers
Lecture 2: Strings
Lecture 3: Arrays
Lecture 4: Control Flow
Lecture 5: Functions
Lecture 6: Variables
Lecture 7: Dictionaries
Lecture 8: Practical Usage of Functions
Chapter 3: Working with Types
Lecture 1: Inspecting Types
Lecture 2: Type Hierarchies and Multiple Dispatch
Lecture 3: Conversion and Promotion
Lecture 4: Defining Your Own Types
Chapter 4: Input and Output
Lecture 1: Reading and Writing to Files
Lecture 2: Networking
Lecture 3: Dealing with Different File Formats
Chapter 5: Modules and Packages
Lecture 1: Using Modules
Lecture 2: Networking
Lecture 3: Reading and Writing CSV Files
Chapter 6: Object-Oriented Programming
Lecture 1: Interfaces
Lecture 2: Maze Builder
Lecture 3: Graphics Editor
Lecture 4: Implementation Inheritance
Chapter 7: Functional Programming in Julia
Lecture 1: Higher Order Functions
Lecture 2: Function Composition
Lecture 3: Functional Approach
Lecture 4: Functional Interpreter Pattern
Chapter 8: Collections
Lecture 1: Common Traits
Lecture 2: Collection Types
Lecture 3: Multidimensional Arrays
Lecture 4: Sets
Chapter 9: Type Unions
Lecture 1: Introducing Type Unions
Lecture 2: Code Reuse Through Type Unions
Chapter 10: Parametric Types
Lecture 1: Why Parametric Types?
Lecture 2: Creating a Generic Collection
Lecture 3: Pitfalls
Lecture 4: Nullable
Chapter 11: Debugging and Testing
Lecture 1: Debugging Approaches
Lecture 2: Writing Debuggable Code
Lecture 3: Writing Tests
Chapter 12: Metaprogramming
Lecture 1: Debugging Approaches
Lecture 2: Macros
Lecture 3: Code Generation
Chapter 13: Performance
Lecture 1: Compilation
Lecture 2: Abstract Versus Concrete Types
Lecture 3: Type Stability
Instructors
-
Packt Publishing
Tech Knowledge in Motion
Rating Distribution
- 1 stars: 3 votes
- 2 stars: 8 votes
- 3 stars: 16 votes
- 4 stars: 46 votes
- 5 stars: 39 votes
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