Julia 1: Getting Started from Pluralsight

Julia is a programming language designed for high performance that's used for Data Science, scientific domains, data visualization, parallel computing, and more. This course will teach you what you need to know to get started programming with Julia!

Every language has pros and cons... but what if I tell you that there is a language that was created with the experience of many other programming languages, with performance in mind, and that is able to provide all kinds of features available in general programming languages all the way to languages designed for scientific computing and Data Science?

Well, that's what Julia is all about.

In this course, Julia 1: Getting Started, you'll learn foundational knowledge required to be a Julia programmer. First, you'll learn how to set up your Julia development environment. Next, you'll discover how to define variables and use data types as well as control program flow. That will be followed by learning how to create functions, methods, and modules, as well as how to work with files. Finally, you'll see how to find packages that will help you build any application you can dream of.

When you're finished with this course, you'll have the skills and knowledge required to call yourself a Julia coder. Software required: Julia.

Some benefits of the Julia programming language are: Julia is fast, contains a math-friendly syntax, automatic memory management, and offers superior parallelism.

Some basics principles to programming are: data types, variables, keywords, loops, numbers, characters, and arrays, inputs, outputs, conditions, and ins and outs to name a few.

Prerequisites for this course are: an understanding of programming in general, preferred knowledge of Python, R, or Scala, and as a bonues, a mathematical background.

Parallel computing is a type of computation where many calculations or the execution of processes are carried out simultaneously.

What's inside

Syllabus

Course Overview

Understanding the Reasoning Behind Julia

Setting Up your Julia Development Environment

Defining Variables and Using Data Types

Controlling Program Flow

Creating Functions, Methods, and Modules

Working with Files

Working with the Julia Standard Library and Packages

Wrapping Up

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Builds a solid programming foundation with Julia, a language designed for scientific computation

Focuses on fundamental programming concepts, making it accessible to beginners

Introduces Julia's syntax and features, enabling learners to create functional programs

Provides a comprehensive overview of the Julia standard library and packages, empowering learners to build various applications

Requires prior programming experience and a background in Python, R, or Scala, which may limit accessibility for complete beginners

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Julia 1: Getting Started with these activities:

Create a Julia IDE and run the REPL

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Build a local environment to practice with while learning Julia.

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Clone and install Visual Studio Code.
Install the Julia extension.
Create a new Julia file.
Type `julia` into the REPL to start a session.
Experiment with Julia commands in the REPL.

Solve simple coding problems

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Reinforce understanding of Julia fundamentals by applying it to problem-solving.

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Find coding problems on websites like LeetCode or HackerRank.
Attempt to solve the problems using Julia.
Review solutions and compare them to your own.

Compile resources and tools for Julia programming

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Organize essential resources and tools to streamline your Julia learning journey.

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Gather documentation, tutorials, and code examples from various sources.
Create a central repository or notebook to store the compiled materials.
Document and categorize the resources for easy retrieval.
Continuously update the compilation as new resources become available.

Eight other activities

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Follow online tutorials on Julia packages

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Extend proficiency in Julia by exploring specific packages.

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Search for tutorials on Julia packages relevant to your interests.
Follow the tutorials step-by-step.
Experiment with the package features and functions.

Guided tutorials on Julia syntax and data structures

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Reinforce your understanding of Julia's core concepts by working through guided tutorials.

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Visit the Julia Documentation website and explore the available tutorials.
Choose a tutorial that covers syntax or data structures and follow it step-by-step.
Experiment with the code examples provided in the tutorial.
Try implementing the concepts learned in the tutorial in your own code.

Join a Julia study group or online community

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Connect with other Julia learners and engage in discussions, code sharing, and problem-solving.

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Search for Julia study groups on platforms like Meetup or Discord.
Join a group that aligns with your learning goals and schedule.
Participate actively in discussions, ask questions, and share your knowledge.
Collaborate with other members on projects or exercises.

Review Julia Programming for Data Science by Avik Sengupta

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Enhance your understanding of Julia's applications in data science by reviewing a specialized book.

View Julia: High Performance Programming on Amazon

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Obtain a copy of the book, either physically or electronically.
Read through the chapters thoroughly, taking notes and highlighting key concepts.
Work through the code examples and exercises provided in the book.
Reflect on how the book's content complements your course learning.

Create Julia functions and modules

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Gain practical experience in organizing and structuring Julia code by creating functions and modules.

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Design a simple function to perform a specific task.
Implement the function in Julia, ensuring proper parameter handling and return values.
Create a module that encapsulates related functions and data.
Test your functions and modules thoroughly to ensure their correctness.

Write a Julia script

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Demonstrate understanding of Julia by creating a functional script.

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Identify a problem or task that can be solved with Julia.
Design and implement a Julia script to solve the problem.
Test and debug the script to ensure it works correctly.
Document the script with comments and explanations.

Develop a Julia project that addresses a real-world problem

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Apply your Julia skills to solve a practical problem and build a tangible project.

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Identify a real-world problem that can be addressed using Julia's capabilities.
Design a project that outlines the problem, solution approach, and expected outcomes.
Implement the project using Julia, leveraging its features and libraries.
Test and evaluate the project's performance and effectiveness.
Document and present your project, showcasing its impact and potential.

Build a Julia application

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Showcase advanced Julia skills by creating a substantial application.

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Define the purpose and requirements of the application.
Design and architect the application using Julia libraries and frameworks.
Implement the application logic and functionality.
Test and debug the application thoroughly.
Deploy the application and make it accessible to users.

Career center

Learners who complete Julia 1: Getting Started will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists use scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured. Julia is a powerful programming language that is well-suited for data science. It is fast, efficient, and has a rich set of libraries for data manipulation, analysis, and visualization. This course will teach you the basics of Julia and how to use it for data science. If you are interested in a career in data science, this course is a great place to start.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

Machine Learning Engineers design, develop, and deploy machine learning models to solve real-world problems. Julia is a powerful programming language that is well-suited for machine learning. It is fast, efficient, and has a rich set of libraries for machine learning algorithms and models. This course will teach you the basics of Julia and how to use it for machine learning. If you are interested in a career in machine learning engineering, this course is a great place to start.

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Statistician

Statisticians collect, analyze, interpret, and present data. They use a variety of statistical techniques to draw conclusions from data. Julia is a powerful programming language that is well-suited for statistics. It is fast, efficient, and has a rich set of libraries for statistical analysis and modeling. This course will teach you the basics of Julia and how to use it for statistics. If you are interested in a career in statistics, this course is a great place to start.

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Data Engineer

Data Engineers design, build, and maintain data pipelines and systems. They use a variety of tools and techniques to ensure that data is available, reliable, and usable. Julia is a powerful programming language that is well-suited for data engineering. It is fast, efficient, and has a rich set of libraries for data manipulation, analysis, and visualization. This course will teach you the basics of Julia and how to use it for data engineering. If you are interested in a career in data engineering, this course is a great place to start.

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Quantitative Analyst

Quantitative Analysts use mathematical and statistical models to analyze financial data and make investment decisions. Julia is a powerful programming language that is well-suited for quantitative analysis. It is fast, efficient, and has a rich set of libraries for financial data analysis and modeling. This course will teach you the basics of Julia and how to use it for quantitative analysis. If you are interested in a career in quantitative analysis, this course is a great place to start.

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Researcher

Researchers conduct original investigations and studies to advance knowledge and understanding in a particular field. Julia is a powerful programming language that is well-suited for research. It is fast, efficient, and has a rich set of libraries for data analysis, visualization, and modeling. This course will teach you the basics of Julia and how to use it for research. If you are interested in a career in research, this course is a great place to start.

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Computational Scientist

Computational Scientists apply computer science principles to scientific problems. They use a variety of computational methods to model and solve complex problems. Julia is a powerful programming language that is well-suited for computational science. It is fast, efficient, and has a rich set of libraries for scientific computing. This course will teach you the basics of Julia and how to use it for computational science. If you are interested in a career in computational science, this course is a great place to start.

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Financial Analyst

Financial Analysts apply their understanding of the financial markets and economic principles to make informed investment decisions for individuals and organizations. Julia is a powerful programming language that is well-suited for financial analysis. It is fast, efficient, and has a rich set of libraries for financial data analysis and modeling. This course will teach you the basics of Julia and how to use it for financial analysis. If you are interested in a career in financial analysis, this course is a great place to start.

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Teacher

Teachers plan, prepare, and deliver lessons to students in a variety of academic subjects. They use a variety of teaching methods to help students learn and grow. Julia is a powerful programming language that is well-suited for teaching. It is fast, efficient, and has a rich set of libraries for data analysis, visualization, and modeling. This course will teach you the basics of Julia and how to use it for teaching. If you are interested in a career in teaching, this course is a great place to start.

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Software Architect

Software Architects design and oversee the development of software systems. They work with stakeholders to define requirements, design the system architecture, and guide the development process. Julia is a powerful programming language that is well-suited for software architecture. It is fast, efficient, and has a rich set of libraries for a variety of tasks. This course will teach you the basics of Julia and how to use it for software architecture. If you are interested in a career in software architecture, this course is a great place to start.

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Operations Research Analyst

Operations Research Analysts use advanced analytical techniques to help businesses make better decisions. They use a variety of tools and techniques to solve problems in areas such as supply chain management, logistics, and manufacturing. Julia is a powerful programming language that is well-suited for operations research. It is fast, efficient, and has a rich set of libraries for optimization and simulation. This course will teach you the basics of Julia and how to use it for operations research. If you are interested in a career in operations research, this course is a great place to start.

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Systems Analyst

Systems Analysts study the needs of businesses and organizations and design and implement computer systems to meet those needs. Julia is a powerful programming language that is well-suited for systems analysis. It is fast, efficient, and has a rich set of libraries for data analysis, modeling, and simulation. This course will teach you the basics of Julia and how to use it for systems analysis. If you are interested in a career in systems analysis, this course is a great place to start.

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Software Engineer

Software Engineers design, develop, and maintain software systems. Julia is a powerful programming language that is well-suited for software development. It is fast, efficient, and has a rich set of libraries for a variety of tasks. This course will teach you the basics of Julia and how to use it for software development. If you are interested in a career in software engineering, this course is a great place to start.

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Data Analyst

Data Analysts collect, clean, and analyze data to help businesses make informed decisions. They use a variety of tools and techniques to identify trends, patterns, and insights in data. Julia is a powerful programming language that is well-suited for data analysis. It is fast, efficient, and has a rich set of libraries for data manipulation and analysis. This course will teach you the basics of Julia and how to use it for data analysis. If you are interested in a career in data analysis, this course is a great place to start.

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Web Developer

Web Developers design, develop, and maintain websites and web applications. Julia is a powerful programming language that is well-suited for web development. It is fast, efficient, and has a rich set of libraries for web development tasks. This course will teach you the basics of Julia and how to use it for web development. If you are interested in a career in web development, this course is a great place to start.

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