Data Structures and Algorithms Made Easy
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This document provides an overview of an approach to learning data structures and algorithms that focuses on enumerating possible solutions to problems with different complexities, rather than just presenting theorems and proofs. It is intended to help with interview, course, and competition exam preparation by improving thinking skills. All code examples are written in C but are not language-specific. It recommends completely reading each chapter, which presents required theory and related problems, and then practicing applying techniques to new questions in order to analyze multiple solutions.
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LIST OF REFERENCES
Topic : DACA and DREAM Act.
What is DACA? (Deferred Action for Childhood Arrivals)
How did DACA come into action?
How does DACA reflect from the southern border of the United States?
How does it benefit children and adults that were brought into the U.S as children?
How much is the cost to keep all paperwork up to date?
What is the DREAM Act?
How does/did this act help immigrants?
How did it come into action?
How does this benefit people that are not U.S citizens?
Web-Centric Alternative Certification Program 2005
Lesson Planning Worksheet (Please save this form on your computer to complete, and upload your completed one day lesson plan.)
TEKS (What TEKS will this lesson cover?)
Texas Essential Knowledge & Skills
Content-specific & technology
Objectives (What will my students learn, comprehend, and master?)
Begins with action verbs or might be written in easier to understand language for children to understand
Written before lesson plan - the specific goals of what is to be taught and accomplished
Precisely states content-specific target
What students have to achieve to learn, comprehend, and master
Tells students what must be accomplished
Helps teachers view if it was accomplished
Assessment (How will I assess their progress?)
Beginning with the end in mind
Must be based on same behavior stated in objective
Tells how well students actually attained the objectives.
Strategies to develop creativity and critical thinking
This document outlines strategies for developing critical thinking and creativity in the classroom. It discusses using debates, brainstorming, teamwork, problem/project based learning, and guest speakers to enhance critical thinking. For creativity, it recommends using art, role playing, games, presentations, and media/technology in research. Specific activity ideas are provided, such as creating maps, role playing important historical figures, and playing vocabulary games. Guidelines for enhancing creativity include finding flow, encouraging diverse ideas, and giving supportive feedback and sufficient time for assignments.
Actucation
The document introduces an app called ACTUCATION that aims to make learning simple through a practice-read-grasp methodology. It notes traditional learning involves deep theory without questions, causing confusion. ACTUCATION starts with easy questions to build confidence before introducing relevant theory for each concept. Students then solve similar questions to memorize the concept. This breaks exam questions into concepts students have already practiced. The goal is for students to feel ready for exams by solving target questions in 20-25 minutes by applying concepts learned through the approach.
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Strategies to develop creativity and critical thinking
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It interview questions
SALIENT FEATURES OF BOOK
Provides insight into what drives the recruitment process and what an interviewer looks for while interviewing an engineering student
Covers concepts, problems, and interview questions for each topic
Covers latest buzzwords like Cloud Computing, Virtualization, Big Data, and many more
All the concepts are discussed in a lucid, easy to understand manner
A reader without any basic knowledge in computers can comfortably follow this book
Coders/Programmers are in demand, but to land the job, you must demonstrate knowledge of those things expected by today's employers. This guide sets you up for success. Not only does it provide the most commonly asked interview questions and answers, but it also offers insight into the interview process in today's marketplace. This book is a comprehensive guide for experienced and first-time programmers alike.
The book is specifically designed for freshers, who despite being brilliant at the technical aspects of the interview, tend to fail when it comes to soft skills and HR interviews. The book provides readers with a relevant blueprint when it comes to planning for pre-interview preparation. It provides candidates with guidelines on the preparation of their resumes and the format that should be followed.
Table of Contents
Organization of Chapters 17
Getting Ready 22
Group Discussions 37
Operating System Concepts 54
C/C++/Java Interview Questions 81
Scripting Languages 157
Bitwise Hacking 194
Concepts of Computer Networking 203
Database Management Systems 256
Brain Teasers 271
Algorithms Introduction 274
Recursion and Backtracking 285
Linked Lists 290
Stacks 322
Queues 336
Trees 345
Priority Queues and Heaps 397
Graph Algorithms 407
Sorting 417
Searching 441
Hashing 466
String Algorithms 473
Algorithms Design Techniques 479
Greedy Algorithms 482
Divide and Conquer Algorithms 486
Dynamic Programming 489
Basics of Design Patterns 496
Non-Technical Help 505
Quantitative Aptitude Concepts 511
Basics of Cloud Computing 524
Miscellaneous Concepts 539
Career Options 559
Pdp cover
This document provides information about a book on design patterns. The book is written in Java and covers common interview questions related to design patterns without requiring any prior software design experience. It serves as a reference guide for professionals. The author, Narasimha Karumanchi, has industry experience at Amazon and previously worked at IBM, Mentor Graphics, and Microsoft. He has a B.Tech and M.Tech in Computer Science. The book is published by CareerMonk Publications.
Peeling design patterns
"Peeling Design Patterns: For Beginners and Interviews" by Narasimha Karumanchi and Prof. Sreenivasa Rao Meda is a book that presents design patterns in simple and straightforward manner with a clear-cut explanation. This book will provide an introduction to the basics and covers many real-time design interview questions. It comes handy as an interview and exam guide for computer scientists.
Salient Features of Book:
Readers without any background in software design will be able to understand it easily and completely.
Presents the concepts of design patterns in simple and straightforward manner with a clear-cut explanation.
After reading the book, readers will be in a position to come up with better designs than before and participate in design discussions which happen in their daily office work.
The book provides enough real-time examples so that readers get better understanding of the design patterns and also useful for the interviews. We mean, the book should cover design interview questions.
Table of Contents:
Introduction
UML Basics
Design Patterns Introduction
Creational Patterns
Structural Patterns
Behavioral Patterns
Glossary and Tips
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Miscellaneous Concepts
Scope, binding, papameter passing techniques
Chapter 1 Introduction 9
Variables 9
Data types 9
System defined data types (Primitive data types) 10
User defined data types 10
Data Structure 10
Abstract Data Types (ADT’s) 11
Memory and Variables 11
Size of a Variable 12
Address of a Variable 12
Pointers 13
Declaration of Pointers 13
Pointers Usage 13
Pointer Manipulation 14
Arrays and Pointers 15
Dynamic Memory Allocation 15
Function Pointers 16
Parameter Passing Techniques 16
Actual and Formal Parameters 16
Semantics of Parameter Passing 17
Language Support for Parameter Passing Techniques 17
Pass by Value 17
Pass by Result 18
Pass by Value-Result 19
Pass by Reference (aliasing) 20
Pass by Name 21
Binding 22
Binding Times 22
Static Binding (Early binding) 22
Dynamic Binding (Late binding) 23
Scope 23
Static Scope 23
Dynamic Scope 24
Storage Classes 25
Auto Storage Class 25
Extern storage class 26
Register Storage Class 31
Static Storage Class 31
Storage Organization 32
Static Segment 32
Stack Segment 33
Heap Segment 35
Shallow Copy versus Deep Copy 36
Introductionto Analysis Of Algorithms
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Data Structures and Algorithms made Easy (Cover Page)
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Data Structures and Algorithms Made Easy
- 3. Followed a pattern of improving the problem solutions with different complexities (for each problem, observe multiple solutions with different 𝑖𝑚𝑝𝑟𝑜𝑣𝑒𝑑 complexities).
- 4. Enumeration of possible solutions.
- 5. With this approach, even if we get a new question it gives us a way to 𝑡h𝑖𝑛𝑘 about all possible solutions..
- 10. 𝐼𝑛𝑠𝑡𝑟𝑢𝑐𝑡𝑜𝑟𝑠
- 13. It won’t be difficult for 𝐽𝑎𝑣𝑎 (or any other language) readers as the solutions were not language specific.
- 15. Give one complete reading for better understanding and to know about different techniques.
- 16. For every new question try to 𝑎𝑝𝑝𝑙𝑦 the techniques from previous chapters to solve it.
- 17. Observe 𝑚𝑢𝑙𝑡𝑖𝑝𝑙𝑒 solutions for same problem and analyze.
- 18. For new questions please follow our facebook/twitter/blogs.