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Java Programming Lab Manual - JNIT

JAGANNATH GUPTA INSTITUTE OF ENGINEERING AND TECHNOLOGY. (Approved by AICTE and Affiliated to RTU, Kota). LABORATORY Manual . (2019-2020). JAVA LAB. II Year & IV Semester Computer Science & Engineering 1. TABLE OF CONTENTS. Contents Page No. 1 Syllabus 2. 2 Marks Scheme 3. 3 Lab Plan 4-5. 4 Lab objective 6. 5 Experiments 7-36. 2. Syllabus 3. MARKS SCHEME. RTU Marks Scheme Maximum Marks Allocation Sessional End-Term Total 30 20 50. 4. LAB PLAN. Java Programming Lab(4CS4-25). Contents Experiments Lab Turn 1 Simple Programs without classes and Byte code generation objects, methods its meaning Role of JDK, JRE, JVM. Data types Various operators Turn-01. 2 Program based on the concepts of classes Object instantiation Turn-02. and objects, constructor, parameterized Constructors constructor Methods (defining &. Calling). Types of constructor Parameter passing to methods 3 Method overloading, constructor Method overloading Turn-03. overloading Constructor overloading 4 Single level Inheritance Turn-04.

Apr 04, 2020 · C++ supports structures and unions. Java doesn't support structures and unions. Thread Support C++ doesn't have built-in support for threads. It relies on third-party libraries for thread support. Java has built-in thread support. Virtual Keyword C++ supports virtual keyword so that we can decide whether or not override a function.

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LAB MANUAL Python Programming Lab-6CS4-23

www.jnit.org

Program 4:-Write a Program to demonstrate list and tuple in python. Write a program using a for loop that loops over a sequence. Write a program using a while loop that asks the user for a number, and prints a countdown from that number to zero. Solution:- # Python program to create a list of tuples # from given list having number and

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MACHINE LEARNING LABORATORY MANUAL - JNIT

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Deep learning Falling hardware prices and the development of GPUs for personal use in the last few years have contributed to the development of the concept of deep learning which consists of multiple hidden layers in an artificial neural network. This approach tries to model the way the human brain processes light and sound into vision and hearing.

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