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Liam McLennan
F# continues the grand tradition of ML style functional programming languages, adding the power of the .NET runtime (CLR) and base class library. F# is an excellent general purpose language that extends the capabilities of C# with type providers, immutable data, structural equality, type inference, and a powerful type system. This course covers everything you need to get started with F# and functional programming.
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Provides a comprehensive overview of Functional Programming with F#
Course is led by Liam Mclennan, a highly experienced and respected F# instructor
Focuses on practical applications of F# in real-world scenarios
Involves working on hands-on projects and exercises, which reinforces understanding
Provides a strong foundation for beginners who want to explore F# and functional programming
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Career center
Learners who complete F# Fundamentals will develop knowledge and skills
that may be useful to these careers:
Software Developer
Software Developer
A Software Developer with fluency in both functional and object-oriented programming will have a distinct advantage in the programming field. F# incorporates the benefits of both paradigms in one language, which can give the developer a competitive edge. The concepts learned in this course can give a Software Developer the edge they need to advance in their career.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use mathematical and statistical techniques to solve complex financial problems. F# offers strong support for numerical computing and data analysis, making it a suitable language for Quantitative Analysts. This course can provide a strong foundation in F# for individuals looking to enter or advance in the field of Quantitative Analysis.
Software Architect
Software Architect
Software Architects can benefit from F#'s strong emphasis on type safety and maintainability. The course covers concepts such as type inference, immutable data, and structural equality, which can aid in designing and implementing complex software systems. This course can provide a valuable addition to the skillset of Software Architects.
Web Developer
Web Developer
Web Developers can leverage F#'s strong support for web development to build robust and scalable web applications. The course covers concepts such as type inference, immutable data, and structural equality, which can aid in developing maintainable and efficient web solutions. This course can provide a strong foundation for Web Developers looking to advance in their careers.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers can benefit from the functional programming capabilities of F#. The course covers concepts such as type inference, immutable data, and structural equality, which can aid in developing robust and maintainable machine learning models. This course can provide a solid foundation for aspiring Machine Learning Engineers.
Game Developer
Game Developer
Game Developers can leverage F#'s capabilities in building high-performance game engines and game logic. The course covers concepts such as type inference, immutable data, and structural equality, which can aid in developing robust and engaging game experiences. This course can provide a strong foundation for Game Developers looking to advance in the industry.
Financial Analyst
Financial Analyst
Financial Analysts can leverage F#'s capabilities in data analysis and modeling to gain a deeper understanding of financial data. The course covers concepts such as type inference, immutable data, and structural equality, which can aid in developing robust and maintainable financial models. This course can enhance the skills of aspiring Financial Analysts.
Systems Analyst
Systems Analyst
Systems Analysts can use F# to develop robust and efficient systems solutions. The course covers concepts such as type inference, immutable data, and structural equality, which can aid in designing and implementing reliable systems. This course can provide a strong foundation for Systems Analysts.
DevOps Engineer
DevOps Engineer
DevOps Engineers can benefit from F#'s capabilities in building and maintaining software systems. The course covers concepts such as type inference, immutable data, and structural equality, which can aid in developing reliable and efficient DevOps pipelines. This course can provide a valuable addition to the skillset of DevOps Engineers.
Mobile Developer
Mobile Developer
Mobile Developers can use F# to develop high-performance mobile applications. The course covers concepts such as type inference, immutable data, and structural equality, which can aid in designing and implementing efficient and reliable mobile apps. This course can provide a valuable addition to the skillset of Mobile Developers.
Cloud Engineer
Cloud Engineer
Cloud Engineers can use F# to develop and manage cloud-based solutions. The course covers concepts such as type inference, immutable data, and structural equality, which can aid in designing and implementing scalable and reliable cloud applications. This course can provide a strong foundation for Cloud Engineers looking to advance in their field.
Business Analyst
Business Analyst
Business Analysts can benefit from F#'s ability to handle complex data analysis and modeling tasks. The course covers concepts such as type inference, immutable data, and structural equality, which can aid in developing reliable and maintainable business models. This course can provide a solid foundation for Business Analysts looking to advance in their careers.
Data Analyst
Data Analyst
F# is a versatile programming language that includes data analysis capabilities. Data Analysts who take this course can learn to leverage F#'s type providers, immutable data, and powerful type system to develop robust and efficient data analysis solutions. This course may be a useful step towards a more senior role as a Data Analyst.
Database Administrator
Database Administrator
Database Administrators can leverage F#'s data analysis and manipulation capabilities to enhance their database management skills. The course covers concepts such as type inference, immutable data, and structural equality, which can aid in developing efficient and reliable database solutions. This course can provide a useful foundation for Database Administrators looking to advance in their careers.
Data Scientist
Data Scientist
Data Scientists can use F# to enhance their data analysis and modeling capabilities. The type providers, immutable data, and structural equality features of F# can help Data Scientists develop reliable and maintainable data-driven solutions. While not strictly necessary to enter into the field, this course may prove to be a useful addition to the skillset of an aspiring Data Scientist.
For more career information including salaries, visit:
OpenCourser.com/course/y3peij/f
Featured in The Course Notes
This course is mentioned in our blog,
The Course Notes. Read
one article that features
F# Fundamentals:
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Reading list
We've selected seven books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
F# Fundamentals.
Introduces the concept of domain-driven design (DDD). DDD software development approach that focuses on creating software that is closely aligned with the business domain. This book must-read for developers who want to learn how to create software that is both robust and maintainable.
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A comprehensive guide to F# for experienced programmers.
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Discusses how to refactor code to make it more maintainable and extensible. It covers a wide range of refactoring techniques, including how to use functional programming techniques to improve code quality. This book great resource for developers who want to learn how to write better code.
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An in-depth guide to F# 5.0. It covers everything from the basics to more advanced topics, such as type providers, dynamic programming, and parallel programming. The book is written by an expert in F# and is packed with examples and exercises.
Demonstrates how to use functional programming techniques in C#. It covers topics such as immutability, recursion, and higher-order functions. great resource for C# developers who want to learn more about functional programming.
Explores how to use F# to create domain models. It covers a wide range of topics, including object-oriented programming, functional programming, and modeling patterns. The book great resource for developers who want to learn how to use F# to create robust and maintainable systems.
Provides a deep dive into the Common Language Runtime (CLR), which is the foundation of .NET. It covers topics such as memory management, threading, and security. This book valuable resource for developers who want to learn more about the internals of .NET.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/y3peij/f
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Time
5 hours
Via
Pluralsight
Instructor
Liam McLennan
Good to know
Provides a comprehensive overview of Functional Programming with F#
Course is led by Liam Mclennan, a highly experienced and respected F# instructor
Focuses on practical applications of F# in real-world scenarios
Involves working on hands-on projects and exercises, which reinforces understanding
Provides a strong foundation for beginners who want to explore F# and functional programming
Featured in The Course Notes
Read
one article that features
this course,
F# Fundamentals
from our blog, The Course Notes:
To read more articles from OpenCourser, visit:
OpenCourser.com/notes
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