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Jose Paumard
The Stream API is an in-memory implementation of the map/filter/reduce pattern, introduced in Java 8. In this course, you will learn the basics of this API, how you can use it to improve your code, and how this implementation works internally.
Read more
The Stream API is an in-memory implementation of the map/filter/reduce pattern, introduced in Java 8. In this course, you will learn the basics of this API, how you can use it to improve your code, and how this implementation works internally.
Read more
The Stream API is an in-memory implementation of the map/filter/reduce pattern, introduced in Java 8. In this course, you will learn the basics of this API, how you can use it to improve your code, and how this implementation works internally.
The Stream API is now one of the two main API used to processed data in Java. It implements a very popular pattern: map/filter/reduce. In this course, Using Java Streams, you will learn three things. First, you will see how this map/filter/reduce pattern works and how you can recognize its use in existing code. Then, you will explore how it has been implemented by the Stream API, and what the details are of this implementation to fully understand how you can leverage this API to write clean and efficient code. Finally, you will discover how to implement common use cases that will help you use this API very quickly in your applications. By the end of this course, you will have explored the theory to fully understand both the algorithm and the implementation.
Register for this course and see more details by visiting:
OpenCourser.com/course/2cqtf1/using
What's inside
Syllabus
Course Overview
Processing Data Using the Map Filter Reduce Algorithm
Using the Stream API to Map, Filter, and Reduce Data
Building a Stream from Data in Memory
Read more
Syllabus
Course Overview
Processing Data Using the Map Filter Reduce Algorithm
Using the Stream API to Map, Filter, and Reduce Data
Building a Stream from Data in Memory
Read more
Converting a For Loop to a Stream
Reducing Data to Compute Statistics
Collecting Data from Streams to Create Lists and Sets
Creating and Analyzing Histograms from Streams
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops foundational knowledge and skills in Java and industry-standard in-memory data processing techniques
Taught by Jose Paumard, a seasoned Java expert
Provides hands-on labs and interactive materials to reinforce learning
Examines the map/filter/reduce pattern, which is used extensively in data processing
Explores how the Stream API efficiently implements the map/filter/reduce pattern
Covers common use cases in data processing to enhance practical knowledge
Save this course
Save Using Java Streams to your list so you can find it easily later:
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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 Using Java Streams with these
activities:
Read Java: The Complete Reference, 9th Edition
Show steps
Get a strong foundation in Java before the course starts.
View
Java: The Complete Reference, Ninth Edition...
on Amazon
Show steps
-
Scan the table of contents to get an overview of the topics covered.
-
Read chapters 1-5 to understand the basics of Java.
-
Complete the practice exercises at the end of each chapter.
Create a simple Java program
Show steps
Put your newfound Java knowledge into practice by creating a simple program.
Show steps
-
Choose a simple project idea, such as a basic calculator or a text editor.
-
Design the program's structure and user interface.
-
Write the Java code for your program.
-
Test and debug your program.
Complete the Java tutorials on Oracle's website
Show steps
Enhance your understanding of Java and the Streams API through interactive tutorials.
Browse courses on
Java
Show steps
-
Visit Oracle's Java tutorials website.
-
Select the "Streams" tutorial.
-
Follow the tutorial steps and complete the exercises.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Solve LeetCode problems on streams
Show steps
Challenge yourself and improve your problem-solving skills by tackling LeetCode problems.
Browse courses on
Java
Show steps
-
Create a LeetCode account.
-
Select the "Streams" category.
-
Choose a problem and attempt to solve it.
-
Review the solution and identify areas for improvement.
Join a study group to discuss streams concepts
Show steps
Collaborate with peers to reinforce your learning and gain new perspectives.
Show steps
-
Find a study group or create your own.
-
Meet regularly to discuss course materials.
-
Share your thoughts and ask questions.
Write a blog post on the benefits of using streams
Show steps
Solidify your understanding by sharing your knowledge with others.
Show steps
-
Choose a topic related to the benefits of using streams.
-
Research and gather information to support your points.
-
Write a clear and concise blog post.
-
Proofread and publish your blog post.
Attend a workshop on advanced Java streaming techniques
Show steps
Expand your knowledge and learn about advanced streaming techniques.
Show steps
-
Research and identify relevant workshops.
-
Register for a workshop that aligns with your interests.
-
Attend the workshop and actively participate.
Read Java: The Complete Reference, 9th Edition
Show steps
Get a strong foundation in Java before the course starts.
View
Java: The Complete Reference, Ninth Edition...
on Amazon
Show steps
Show steps
Show steps
- Scan the table of contents to get an overview of the topics covered.
- Read chapters 1-5 to understand the basics of Java.
- Complete the practice exercises at the end of each chapter.
Create a simple Java program
Show steps
Put your newfound Java knowledge into practice by creating a simple program.
Show steps
Show steps
Show steps
- Choose a simple project idea, such as a basic calculator or a text editor.
- Design the program's structure and user interface.
- Write the Java code for your program.
- Test and debug your program.
Complete the Java tutorials on Oracle's website
Show steps
Enhance your understanding of Java and the Streams API through interactive tutorials.
Browse courses on
Java
Show steps
Show steps
Show steps
- Visit Oracle's Java tutorials website.
- Select the "Streams" tutorial.
- Follow the tutorial steps and complete the exercises.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Solve LeetCode problems on streams
Show steps
Challenge yourself and improve your problem-solving skills by tackling LeetCode problems.
Browse courses on
Java
Show steps
Show steps
Show steps
- Create a LeetCode account.
- Select the "Streams" category.
- Choose a problem and attempt to solve it.
- Review the solution and identify areas for improvement.
Join a study group to discuss streams concepts
Show steps
Collaborate with peers to reinforce your learning and gain new perspectives.
Show steps
Show steps
Show steps
- Find a study group or create your own.
- Meet regularly to discuss course materials.
- Share your thoughts and ask questions.
Write a blog post on the benefits of using streams
Show steps
Solidify your understanding by sharing your knowledge with others.
Show steps
Show steps
Show steps
- Choose a topic related to the benefits of using streams.
- Research and gather information to support your points.
- Write a clear and concise blog post.
- Proofread and publish your blog post.
Attend a workshop on advanced Java streaming techniques
Show steps
Expand your knowledge and learn about advanced streaming techniques.
Show steps
Show steps
Show steps
- Research and identify relevant workshops.
- Register for a workshop that aligns with your interests.
- Attend the workshop and actively participate.
Career center
Learners who complete Using Java Streams will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data analysts use their knowledge of statistics and programming to analyze data and draw conclusions from it. They are responsible for collecting, cleaning, and interpreting data, and then presenting their findings to stakeholders. The Stream API is a powerful tool that can help data analysts to automate many of their tasks, such as filtering and manipulating data, and computing statistics. By taking this course, data analysts can learn how to use the Stream API to improve their productivity and efficiency.
Software Engineer
Software Engineer
Software engineers design, develop, and maintain software systems. They are responsible for writing code, testing it, and deploying it to production. The Stream API is a valuable tool for software engineers because it can help them to write more efficient and maintainable code. By taking this course, software engineers can learn how to use the Stream API to improve the quality of their code.
Data Scientist
Data Scientist
Data scientists use their knowledge of statistics, programming, and machine learning to extract insights from data. They are responsible for developing and deploying machine learning models, and then interpreting the results. The Stream API is a powerful tool that can help data scientists to automate many of their tasks, such as cleaning and preparing data, and training machine learning models. By taking this course, data scientists can learn how to use the Stream API to improve their productivity and efficiency.
Database Administrator
Database Administrator
Database administrators are responsible for managing and maintaining databases. They are responsible for ensuring that databases are available, reliable, and secure. The Stream API is a valuable tool for database administrators because it can help them to automate many of their tasks, such as backing up and restoring databases, and monitoring database performance. By taking this course, database administrators can learn how to use the Stream API to improve their productivity and efficiency.
Business Analyst
Business Analyst
Business analysts use their knowledge of business and technology to solve business problems. They are responsible for gathering requirements, analyzing data, and developing solutions. The Stream API is a valuable tool for business analysts because it can help them to automate many of their tasks, such as collecting and cleaning data, and performing statistical analysis. By taking this course, business analysts can learn how to use the Stream API to improve their productivity and efficiency.
Statistician
Statistician
Statisticians use their knowledge of statistics to analyze data and draw conclusions from it. They are responsible for designing and conducting statistical studies, and then interpreting the results. The Stream API is a powerful tool that can help statisticians to automate many of their tasks, such as computing statistics and generating visualizations. By taking this course, statisticians can learn how to use the Stream API to improve their productivity and efficiency.
Quantitative Analyst
Quantitative Analyst
Quantitative analysts use their knowledge of mathematics and statistics to analyze financial data and make investment decisions. They are responsible for developing and deploying financial models, and then interpreting the results. The Stream API is a powerful tool that can help quantitative analysts to automate many of their tasks, such as collecting and cleaning data, and performing statistical analysis. By taking this course, quantitative analysts can learn how to use the Stream API to improve their productivity and efficiency.
Machine Learning Engineer
Machine Learning Engineer
Machine learning engineers design, develop, and deploy machine learning models. They are responsible for gathering data, cleaning it, and training models. The Stream API is a valuable tool for machine learning engineers because it can help them to automate many of their tasks, such as cleaning and preparing data, and training machine learning models. By taking this course, machine learning engineers can learn how to use the Stream API to improve their productivity and efficiency.
Data Engineer
Data Engineer
Data engineers design, develop, and maintain data pipelines. They are responsible for ensuring that data is available, reliable, and secure. The Stream API is a valuable tool for data engineers because it can help them to automate many of their tasks, such as building and maintaining data pipelines, and monitoring data quality. By taking this course, data engineers can learn how to use the Stream API to improve their productivity and efficiency.
Software Developer
Software Developer
Software developers design, develop, and maintain software applications. They are responsible for writing code, testing it, and deploying it to production. The Stream API is a valuable tool for software developers because it can help them to write more efficient and maintainable code. By taking this course, software developers can learn how to use the Stream API to improve the quality of their code.
Operations Research Analyst
Operations Research Analyst
Operations research analysts use their knowledge of mathematics and statistics to solve business problems. They are responsible for developing and deploying mathematical models, and then interpreting the results. The Stream API is a powerful tool that can help operations research analysts to automate many of their tasks, such as collecting and cleaning data, and performing statistical analysis. By taking this course, operations research analysts can learn how to use the Stream API to improve their productivity and efficiency.
Financial Analyst
Financial Analyst
Financial analysts use their knowledge of finance and economics to analyze financial data and make investment decisions. They are responsible for developing and deploying financial models, and then interpreting the results. The Stream API is a powerful tool that can help financial analysts to automate many of their tasks, such as collecting and cleaning data, and performing statistical analysis. By taking this course, financial analysts can learn how to use the Stream API to improve their productivity and efficiency.
Actuary
Actuary
Actuaries use their knowledge of mathematics and statistics to assess and manage risk. They are responsible for developing and deploying actuarial models, and then interpreting the results. The Stream API is a powerful tool that can help actuaries to automate many of their tasks, such as collecting and cleaning data, and performing statistical analysis. By taking this course, actuaries can learn how to use the Stream API to improve their productivity and efficiency.
For more career information including salaries, visit:
OpenCourser.com/course/2cqtf1/using
Reading list
We've selected 12 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
Using Java Streams.
Provides a comprehensive overview of Java 8 lambdas and functional programming techniques, making it an excellent resource to supplement the course's coverage of the Stream API and its implementation.
Delves deeper into functional programming concepts and techniques, offering practical examples and case studies that complement the theoretical foundations covered in the course.
Save
Highly accessible and engaging introduction to Java programming, providing a solid foundation for understanding the fundamentals of the language, including object-oriented programming concepts.
This classic book offers practical advice and best practices for writing robust and efficient Java code, complementing the course's focus on clean and effective coding techniques.
While not directly related to streams, this book provides a comprehensive guide to Java concurrency, which can be a valuable resource for learners interested in understanding how to write concurrent and parallel code.
Timeless classic in software development, offering practical wisdom and insights into the principles and best practices of software craftsmanship, complementing the course's emphasis on writing clean and maintainable code.
Save
Provides practical guidance on writing clean and well-structured code, emphasizing principles such as readability, maintainability, and testability, which are essential for developing high-quality software, including code that leverages the Stream API.
Save
This classic book introduces fundamental design patterns and their application in software development, providing a deeper understanding of how to structure and organize code effectively, including code that utilizes the Stream API.
Provides an in-depth exploration of Java generics and collections, offering a deeper understanding of the underlying mechanisms and best practices for using them effectively, which can be beneficial for learners interested in leveraging generics and collections in their Stream API code.
Save
Presents a collection of challenging Java puzzles and their solutions, providing a fun and engaging way to test and improve one's understanding of the language, including its nuances and potential pitfalls, which can be valuable for learners interested in writing robust and error-free Stream API code.
Save
Introduces the concepts and principles of functional programming, providing a theoretical foundation for understanding the Stream API's functional programming underpinnings.
Save
While not directly related to Java, this book provides an introduction to Scala, a functional programming language that shares similarities with Java, offering insights into alternative approaches to functional programming and stream processing.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/2cqtf1/using
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Time
155 hours
Level
Intermediate
Via
Pluralsight
Instructor
Jose Paumard
Language
English
Good to know
Develops foundational knowledge and skills in Java and industry-standard in-memory data processing techniques
Taught by Jose Paumard, a seasoned Java expert
Provides hands-on labs and interactive materials to reinforce learning
Examines the map/filter/reduce pattern, which is used extensively in data processing
Explores how the Stream API efficiently implements the map/filter/reduce pattern
Covers common use cases in data processing to enhance practical knowledge
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