How does math keep a folded slice from drooping? And what does pizza have to do with the speed of light?

Fourteen Greenlands could fit in Africa— but you wouldn't guess it from most maps of the world. The fact is, every world map humans have ever made is wrong. Actually, it's impossible to make a flat map of the whole spherical world 100%...

This video explains about Non-Blocking IO.
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This clip is from the chapter "Project: Search Flight Aggregator" of the series "Supercharge Scala Future | FP-Tower".This section focuses on building a project on a search flight...

This video explains the concept of refactoring.<br<br/>/>

This clip is from the chapter "Build Your Own IO" of the series "Supercharge Scala Future | FP-Tower".This section focuses on building your own IO (Input/Output).

This video demonstrates the comprehension part.<br<br/>/>

This clip is from the chapter "Build Your Own IO" of the series "Supercharge Scala Future | FP-Tower".This section focuses on building your own IO (Input/Output).

This video explains about IO composition.<br<br/>/>

This clip is from the chapter "Build Your Own IO" of the series "Supercharge Scala Future | FP-Tower".This section focuses on building your own IO (Input/Output).

Welcome to this 7-part video series that is excerpted from Oregon State University's Online Permaculture Design Certificate Course

f='https://workspace.oregonstate.edu/cou...' target='_blank' rel='nofollow'>Course

The...

A humorous look at the topology of curved space.

In this lesson, we will look at an example on word count.
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This clip is from the chapter "Project" of the series "Scala & Spark-Master Big Data with Scala and Spark".This section primarily focuses on building a project on...

In this session, we will discuss flat maps.<br<br/>/>

This clip is from the chapter "Project" of the series "Scala & Spark-Master Big Data with Scala and Spark".This section primarily focuses on building a project on Scala Spark.

In this lecture, you will learn about some core considerations for implementing streaming aggregates.
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This clip is from the chapter "Real-time Aggregates" of the series "Apache Kafka - Real-time Stream Processing (Master...

In this lecture, you will learn the notion of the Topology in more detail. We will also explore some available transformation methods that we can use to create a processor topology. Further, we will take a fairly complex business...

In this lecture, we will implement a complex Streams Topology that we designed in the earlier lecture.
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This clip is from the chapter "Enter the Stream Processing" of the series "Apache Kafka - Real-time Stream Processing...

Let's learn about map and flat map transformations in this session.
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This clip is from the chapter "RDD Crash Course" of the series "Apache Spark 3 for Data Engineering and Analytics with Python".This section primarily...

Swift 2 is a multi-paradigm programming language that has expressive features familiar to modern functional languages, and does not forget the object-oriented features of Objective-C. Things that took a block of code in...

Let's discuss the solution for the quiz on Filter() function.<br/<br/>>

This clip is from the chapter "Spark RDDs" of the series "PySpark and AWS: Master Big Data with PySpark and AWS".This section focuses on PySpark RDDs.

In this lesson, we will take a look at the grouping transformation using the GroupByKey(). GroupByKey is used to create groups based on keys in RDD.
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This clip is from the chapter "Spark RDDs" of the series "PySpark and AWS:...

In this lesson, you will learn about Filter() function.<br/<br/>>

This clip is from the chapter "Spark RDDs" of the series "PySpark and AWS: Master Big Data with PySpark and AWS".This section focuses on PySpark RDDs.

In this lesson, you will learn about the Distinct() RDD function.<br/<br/>>

This clip is from the chapter "Spark RDDs" of the series "PySpark and AWS: Master Big Data with PySpark and AWS".This section focuses on PySpark RDDs.

In this session, you will learn about how to save RDD to a text file using the saveAsTextFile() function.
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This clip is from the chapter "Spark RDDs" of the series "PySpark and AWS: Master Big Data with PySpark and AWS".This...

In this lesson, we will explore the concepts of partition.<br/<br/>>

This clip is from the chapter "Spark RDDs" of the series "PySpark and AWS: Master Big Data with PySpark and AWS".This section focuses on PySpark RDDs.

In this session, we will explore ReduceByKey(). ReduceByKey is used to combine data based on keys in RDD.
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This clip is from the chapter "Spark RDDs" of the series "PySpark and AWS: Master Big Data with PySpark and AWS".This...

Let's explore another Spark RDD function, which is the FlatMap() in this session.
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This clip is from the chapter "Spark RDDs" of the series "PySpark and AWS: Master Big Data with PySpark and AWS".This section focuses on...

In this session, you will learn about Count() and CountByValue() functions.<br/<br/>>

This clip is from the chapter "Spark RDDs" of the series "PySpark and AWS: Master Big Data with PySpark and AWS".This section focuses on PySpark RDDs.