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F# Discover the latest and greatest technology books on topics like iOS development, SwiftUI, Jetpack Compose, computer architecture, and more. Learn from top authors and industry experts through practical examples and projects. Whether you're a beginner looking to skill up or a seasoned pro wanting to stay on top of new frameworks and techniques, we've got books to take your skills to the next level.

Bestsellers

A range of our top selling data products from the last year

F# High Performance

Jan 2017 338 pages

5 (1)

eBook

$39.99

Building F# Applications

Sep 2017 2hrs 36mins

Video

$137.99

.NET Core 2.0 By Example

Mar 2018 458 pages

4.3 (6)

eBook

$43.99

Learning Functional Programming with F#

Aug 2017 198 pages

Course

$130.99

End-to-End Real-World Application Development with F#

Dec 2018 119 pages

Course

$137.99

Functional Application Designing

Aug 2018 129 pages

Course

$137.99

What's New

Our latest data releases from the last few months.

End-to-End Real-World Application Development with F#

Dec 2018 119 pages

Course

$137.99

Functional Application Designing

Aug 2018 129 pages

Course

$137.99

.NET Core 2.0 By Example

Mar 2018 458 pages

4.3 (6)

eBook

$43.99

Building F# Applications

Sep 2017 2hrs 36mins

Video

$137.99

Learning Functional Programming with F#

Aug 2017 198 pages

Course

$130.99

F# High Performance

Jan 2017 338 pages

5 (1)

eBook

$39.99

The Most Popular in F#

F# High Performance

F# is a functional programming language and is used in enterprise applications that demand high performance. It has its own unique trait: it is a functional programming language and has OOP support at the same time. This book will help you make F# applications run faster with examples you can easily break down and take into your own work. You will be able to assess the performance of the program and identify bottlenecks. Beginning with a gentle overview of concurrency features in F#, you will get to know the advanced topics of concurrency optimizations in F#, such as F# message passing agent of MailboxProcessor and further interoperation with .NET TPL. Based on this knowledge, you will be able to enhance the performance optimizations when implementing and using other F# language features. The book also covers optimization techniques by using F# best practices and F# libraries. You will learn how the concepts of concurrency and parallel programming will help in improving the performance. With this, you would be able to take advantage of multi-core processors and track memory leaks, root causes, and CPU issues. Finally, you will be able to test their applications to achieve scalability.

Kusumawardhono

eBook Jan 2017 676

$39.99

Beginner's Corner

Our top picks for starting your mobile journey.

.NET Core 2.0 By Example

Mar 2018 458 pages

4.3 (6)

eBook

$43.99

Learning Functional Programming with F#

Aug 2017 198 pages

Course

$130.99

Popular Authors (10)

Raghav Bali

Raghav Bali is a Staff Data Scientist at Delivery Hero, a leading food delivery service headquartered in Berlin, Germany. With 12+ years of expertise, he specializes in research and development of enterprise-level solutions leveraging Machine Learning, Deep Learning, Natural Language Processing, and Recommendation Engines for practical business applications.nBesides his professional endeavors, Raghav is an esteemed mentor and an accomplished public speaker. He has contributed to multiple peer-reviewed papers and authored multiple well received books. Additionally, he holds co-inventor credits on multiple patents in healthcare, machine learning, deep learning, and natural language processing.

Most popular book of Raghav Bali

Generative AI with Python and TensorFlow 2

See 2 other products by Raghav Bali

Serg Masís

Serg Masís has been at the confluence of the internet, application development, and analytics for the last two decades. Currently, he's a climate and agronomic data scientist at Syngenta, a leading agribusiness company with a mission to improve global food security. Before that role, he co-founded a start-up, incubated by Harvard Innovation Labs, that combined the power of cloud computing and machine learning with principles in decision-making science to expose users to new places and events. Whether it pertains to leisure activities, plant diseases, or customer lifetime value, Serg is passionate about providing the often-missing link between data and decision-making—and machine learning interpretation helps bridge this gap robustly.

Most popular book of Serg Masís

Interpretable Machine Learning with Python

See 2 other products by Serg Masís

Amita Kapoor

Amita Kapoor, a seasoned expert in Artificial Intelligence, serves as the Chief Artificial Intelligence Officer at Retured, bringing over 25 years of experience in AI, data science, and neuroscience. Her consultancy, NePeur, stands testament to her leadership in applying AI across diverse industries, enhancing operational efficiency and business intelligence. Amita is also a devoted board member of Neuromatch Academy, where she plays a crucial role in making neuroscience and deep learning education accessible to all. Holding a PhD from the University of Delhi, she has dedicated her career to education, authoring numerous articles and papers, and creating impactful online classes. Her significant contributions extend to pioneering projects in intelligent vehicle fleet management, home surveillance through AI-powered face detection, and robust data anonymization solutions. Connect with Amita on LinkedIn.

Most popular book of Amita Kapoor

Deep Learning with TensorFlow and Keras – 3rd edition

See 4 other products by Amita Kapoor

Yogesh Raheja, Thinknyx Technologies

Thinknyx® Technologies is a recognized brand providing IT consulting & implementation services, delivering comprehensive Information Technology and Soft Skills Trainings and providing Talent Acquisition (Recruitment) solutions to diverse organizations worldwide. With over a decade of core industry experience, they have successfully aided their customers in strategic planning and flawless execution of solutions around IT and Non-IT initiatives.nYogesh Raheja is the Founder and a senior Solutions Architect at Thinknyx Technologies and an instructor of video courses. Yogesh has been a trusted advisor for numerous organizations, guiding them through their DevOps journey, infrastructure as code, containerization, cloud computing, Automation solutions and AI/ML/Generative AI with his expertise. He has also authored several globally published books (like "Effective DevOps with AWS", "Automation with SaltStack", "Automation with Puppet 5" and "Automation with Ansible") published by Packt, Wiley, and OrangeAVA.

Most popular book of Yogesh Raheja, Thinknyx Technologies

AI Ecosystem for the Absolute Beginners - Hands-On

See 6 other products by Yogesh Raheja, Thinknyx Technologies

Sebastian Raschka

Sebastian Raschka is an Assistant Professor of Statistics at the University of Wisconsin-Madison focusing on machine learning and deep learning research. As Lead AI Educator at Grid AI, Sebastian plans to continue following his passion for helping people get into machine learning and artificial intelligence.

Most popular book of Sebastian Raschka

Machine Learning with PyTorch and Scikit-Learn

See 5 other products by Sebastian Raschka

Maaike van Putten

Maaike is a software consultant and trainer with a passion for sharing her expertise to empower others in their careers. Her love for software development shows in the numerous software development projects she participated in and the many certifications she obtained. She has designed and delivered a broad spectrum of training courses catering to beginners and seasoned developers in Java, Python, C# and many other languages and frameworks. Next to that, she has authored multiple books and online courses through multiple platforms reaching over 500,000 learners across the globe.

Most popular book of Maaike van Putten

JavaScript from Beginner to Professional

See 3 other products by Maaike van Putten

Tarek A. Atwan

Tarek A. Atwan is a data analytics expert with over 16 years of international consulting experience, providing subject matter expertise in data science, machine learning operations, data engineering, and business intelligence. He has taught multiple hands-on coding boot camps, courses, and workshops on various topics, including data science, data visualization, Python programming, time series forecasting, and blockchain at various universities in the United States. He is regarded as a data science mentor and advisor, working with executive leaders in numerous industries to solve complex problems using a data-driven approach.

Most popular book of Tarek A. Atwan

Time Series Analysis with Python Cookbook

See 1 other products by Tarek A. Atwan

Manu Joseph

Manu Joseph is a self-made data scientist with more than a decade of experience working with many Fortune 500 companies enabling digital and AI transformations, specifically in machine learning-based demand forecasting. He is considered an expert, thought leader, and strong voice in the world of time series forecasting. Currently, Manu leads applied research at Thoucentric, where he advances research by bringing cutting-edge AI technologies to the industry. He is also an active open-source contributor and developed an open-source library—PyTorch Tabular—which makes deep learning for tabular data easy and accessible. Originally from Thiruvananthapuram, India, Manu currently resides in Bengaluru, India, with his wife and son

Most popular book of Manu Joseph

Modern Time Series Forecasting with Python

See 2 other products by Manu Joseph

Ben Auffarth

Ben Auffarth is a full-stack data scientist with more than 15 years of work experience. With a background and Ph.D. in computational and cognitive neuroscience, he has designed and conducted wet lab experiments on cell cultures, analyzed experiments with terabytes of data, run brain models on IBM supercomputers with up to 64k cores, built production systems processing hundreds and thousands of transactions per day, and trained language models on a large corpus of text documents. He co-founded and is the former president of Data Science Speakers, London.

Most popular book of Ben Auffarth

Generative AI with LangChain

See 3 other products by Ben Auffarth

Kirill Kolodiazhnyi

Kirill Kolodiazhnyi is a seasoned soft ware engineer with expertise in custom soft ware development. He has several years of experience building machine learning models and data products using C++. He holds a bachelor’s degree in computer science from the Kharkiv National University of Radio Electronics.

Most popular book of Kirill Kolodiazhnyi

Hands-On Machine Learning with C++

See 2 other products by Kirill Kolodiazhnyi

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3642

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3720

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2944

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809

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1080

926

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556

Business & Other

1291

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