This is the code repository for Java for beginners: Step-by-step hands-on guide to Java [Video], published by Packt. It contains all the supporting project files necessary to work through the video course from start to finish.
We are a group of coders and programmers ourselves. So we understand the importance of learning by doing. This course is jam-packed with practical demos, homework assignments and a lot of live coding which will help you immensely in grasping these complex topics. We begin by downloading and installing a free programming editor also known as an integrated development environment (IDE). The IDE is called Eclipse and is pretty popular amongst Java programmers. Then we will go through some basic and foundational concepts of the Java programming language. Many of these concepts also apply to other programming languages. After these core concepts – we will put things into high gear and talk about control flow statements which can help you write dynamic programs. We will discuss object-oriented programming and its various pillars. We will introduce you to important OOP concepts like objects, classes, inheritance, interfaces, and packages. Each discussion will focus on how these concepts relate to the real world, while simultaneously providing an introduction to the syntax of the Java programming language. The added power of OO programming which Java provides gives programmers a huge edge over the relative simplicity of procedural programming. OOP concepts make it easier for programmers to relate the code to the real world objects we see around us. Generally speaking, learning OOP could be very simple and complex at the same time. We strive to explain these essential concepts with the help of simple real world scenarios and exercises.
- Perform data science tasks using a set of robust Java tools and libraries
- Develop robust Java code that correctly executes in multiple environments
- Load and analyze data from databases and flat files irrespective of the size and variety of the data
- Clean and filter data and handle null values for data formatting
- Visualize data to understanding its distribution and discover hidden patterns
- Compare supervised and unsupervised machine learning models and their use cases
- Implement machine learning and deep learning models with real-world data sets
- Split training and testing datasets and determine the accuracy of models using different techniques
To fully benefit from the coverage included in this course, you will need:
Anyone who wants to learn how to code in Java. Absolute beginners with no previous coding experience, to intermediates looking to sharpen their skills. Programmers looking to write applications in Java apps and get high-paying jobs or freelance contracts.
This course has the following software requirements:
NA