Learn Java8 Streams By Coding it with Hands on Example

Dive deep into Java Streams with this comprehensive course, designed for developers already familiar with the basics of Java programming. Unlock the power of efficient data processing using both sequential streams and parallel streams.

Here's a detailed look at what you'll learn:

• Introduction to Functional Interfaces: Understand the foundation of stream operations.
• Streams Introduction: Get a solid grasp of what streams are and how they work.
• Streams Examples: Practical, hands-on examples to solidify your understanding.
  • Streams Example Part 1: Basic stream operations.
  • Streams Example Part 2: Building upon fundamental concepts.
  • Streams Example Part 3: Advanced stream manipulations.
• Stream Operations: Master essential stream operations for data transformation.
  • Streams Map Example: Transforming stream elements.
  • Streams FlatMap Example: Flattening streams for complex data structures.
    • Streams FlatMap Example Part 1
    • Streams FlatMap Example Part 2
    • Streams FlatMap Example Part 3
    • Streams FlatMap Example Part 4
  • Streams Filter Example: Selecting specific elements from a stream.
  • Streams Reduce Example: Reducing a stream to a single value.
    • Streams Reduce Example Part 1
    • Streams Reduce Example Part 2
  • Streams Filter Map Reduce Example: Combining filtering, mapping, and reducing.
  • Streams MinBy, MaxBy Example: Finding the minimum and maximum values in a stream.
  • Streams Limit Skip Example: Controlling the number of elements processed.
  • Streams AllMatch, AnyMatch Example: Checking for specific conditions within a stream.
  • Streams FindAny, FindFirst Example: Retrieving elements from a stream.
  • Streams Factory Method Example: Creating streams in different ways.
• Numeric Streams: Specially designed for working with numeric data.
  • Numeric Stream Example: Performing operations on numeric streams.
  • Numeric Stream Factory Method Example: Creating numeric streams.
  • Numeric Stream Factory Aggregation Method Example: Aggregating numeric data.
  • Stream Boxing and Unboxing Example: Understanding type conversions within streams.
  • Numeric Stream Map Example: Transforming numeric streams.
• Stream Joining: Combining streams for more complex data manipulation.
• Stream Mapping and Counting: Efficiently count and transform stream elements.
• Stream Summing and Averaging: Calculate sums and averages of stream data.
• Stream Grouping By Example: Grouping stream elements based on a key.
  • Stream Grouping By Example Part 1
  • Stream Grouping By Example Part 2
• Stream Partitioning By: Partitioning a stream into multiple streams based on a condition.
• Sequential vs. Parallel Streams: Understand the differences and when to use each.
  • Sequential vs Parallel Stream Example Part 1
  • Sequential vs Parallel Stream Example Part 2
• When to Use Parallel Streams: Learn the best practices for leveraging parallel processing.
  • Parallel Stream When Not to Use Case Part 1
  • Parallel Stream When Not to Use Case Part 2

Get ready to enhance your Java skills and write more efficient and scalable code! Happy Learning!