This video illustrates the four major pillars of object-oriented programming: encapsulation, abstraction, polymorphism, and inheritance.

In this lesson, we will learn about constructors, a block of code that initializes a newly created object, and access specifiers that determine if other classes can use a particular method.

Furthering our program writing skills, we will learn to create a program that determines the maximum value in an array.

We will learn to use the IF statement to check if a block of conditions is true and the ELSE statement if false and write a program to evaluate test scores.

In this lesson, we will learn to use a feature called typecasting to change one datatype to another and look at the two methods of typecasting.

Continuing on our previous lesson, where we learned about the datatypes in Java, in this lesson, we will look at the string datatype in more detail.

In this video, we will learn to write a simple program that uses the DateTime class to calculate the age difference between two siblings.

We will look at the Java built-in API that contains classes for representing data and time, the java.util, java.time, java.sql, and java.text packages.

In this lesson, we will perform basic arithmetic calculations used in Java for mathematical operations.

We will learn to accept user inputs, a critical step for any software program. We will learn to use the scanner library to achieve this.

In this lecture, we will learn about the Boolean datatype and also look at logical operators in Java. We will create statements and have our program evaluate whether the statements are true or false.

In this lesson, we will learn about variables and look at the various datatypes available in Java. We will create a new Java project and understand the different data types.

In this video, we will understand what functions and classes are in Python. This clip is from the chapter "Python Crash Course on Basics" of the series "Deep Learning - Crash Course 2023".In this section, we will work on our foundation...

This video demonstrates the comprehension part. 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 helps you learn the concept of retrying an operation with a single higher order function and reuse to refactor the code of readDataOfBirthRetry and readSubscribeToMailingListRetry. This clip is from the chapter "Actions with...

In this video, you will learn to define the project's story length and question length, determined by the number of words in the story or question.

This video demonstrates how we can update the image view. We will use binding variables defining the image, color, and size. We will also adjust the image view based on the device that the app will run. This clip is from the chapter...

Let's understand how to change the image preview in the image view. We will use the repeat function to define the number of times the image view appears and add scroll views. This clip is from the chapter "Emoji App" of the series...

In this lesson, we will explore steppers in detail. We will create a SwiftUI view, “StepperExampleViewâ€, to accept user input and display information/messages. This clip is from the chapter "Beyond the Basics" of the series "SwiftUI...

In this lesson, we will explore the basics of Xcode 14. The lecture explains the interface and then takes us to the basic concepts of Xcode and what we can do with the program. This clip is from the chapter "Introduction" of the series...

This video provides three sets of differentiated GCSE exam style practice questions on the topic of collecting like terms and simplifying. The answers to the questions are provided and solutions explained.

In this lesson, you will learn to develop our content-based filtering for the song project.

In this video, we will develop a histogram to visualize the age distribution for users.

In this video, you will learn to implement Python to develop item-based collaborative filtering using Pandas, NumPy, and Matplotlib.