Algorithms
Andy Vickler
Book 1: Have you ever wondered how a programmer develops games and writes code without having to think too much? Do you want to know what makes a programmer confident about the code they write? Do you want to learn how programmers use algorithms to determine how to structure their programs before they develop it? Then this is the book for you.
An algorithm is a set of rules or instructions you provide to a system. The system performs a specific process to answer a question using these instructions. As an amateur or expert, it is important for you to understand what an algorithm is and how you should define it. Once you learn to develop an algorithm, you can easily learn to develop code to execute that algorithm.
Book 2: Are you interested in furthering your knowledge of algorithms? Do you want to learn how they work for real-world problems? Then you've come to the right place. This guide will walk you through algorithm design before digging into some of the top design techniques.
Book 3: Are you studying data science and want to take your learning further? Data structures are an integral part of data science, machine learning, and algorithms, all aimed at solving programming challenges that might seem insurmountable at the outset. Advanced Data Structures for Algorithms builds on your current knowledge, taking your learning much deeper and teaching you how to solve even the trickiest of challenges.
You’ll find plenty of code examples to help you make sense of it all.
Duration - 13h 54m.
Author - Andy Vickler.
Narrator - Helpful Matthew.
Published Date - Thursday, 04 January 2024.
Copyright - © 2021 Andy Vickler ©.
Location:
United States
Description:
Book 1: Have you ever wondered how a programmer develops games and writes code without having to think too much? Do you want to know what makes a programmer confident about the code they write? Do you want to learn how programmers use algorithms to determine how to structure their programs before they develop it? Then this is the book for you. An algorithm is a set of rules or instructions you provide to a system. The system performs a specific process to answer a question using these instructions. As an amateur or expert, it is important for you to understand what an algorithm is and how you should define it. Once you learn to develop an algorithm, you can easily learn to develop code to execute that algorithm. Book 2: Are you interested in furthering your knowledge of algorithms? Do you want to learn how they work for real-world problems? Then you've come to the right place. This guide will walk you through algorithm design before digging into some of the top design techniques. Book 3: Are you studying data science and want to take your learning further? Data structures are an integral part of data science, machine learning, and algorithms, all aimed at solving programming challenges that might seem insurmountable at the outset. Advanced Data Structures for Algorithms builds on your current knowledge, taking your learning much deeper and teaching you how to solve even the trickiest of challenges. You’ll find plenty of code examples to help you make sense of it all. Duration - 13h 54m. Author - Andy Vickler. Narrator - Helpful Matthew. Published Date - Thursday, 04 January 2024. Copyright - © 2021 Andy Vickler ©.
Language:
English
Opening Credits
Duration:00:00:21
Opening credits for practical guide to learn algorithms for beginners
Duration:00:00:11
Introduction
Duration:00:02:38
Chapter 1: Introduction to algorithms
Duration:00:14:52
Chapter 2: Types of algorithms
Duration:00:15:46
Chapter 3: Describing algorithms
Duration:00:04:06
Chapter 4: Error handling
Duration:00:14:16
Chapter 5: Analysis of algorithms
Duration:00:15:12
Chapter 6: An introduction to writing programs
Duration:00:28:43
Chapter 7: Types of programming languages
Duration:00:11:29
Chapter 8: Important programming techniques
Duration:00:32:16
Chapter 9: Testing the program
Duration:00:06:15
Chapter 10: Sorting and searching algorithms
Duration:01:02:03
Chapter 11: Loop control and decision making
Duration:00:16:36
Chapter 12: Introduction to data structures
Duration:00:15:05
Chapter 13: Comments and formatting
Duration:00:11:12
Chapter 14: Debugging
Duration:00:05:39
Conclusion
Duration:00:00:54
Closing credits for practical guide to learn algorithms for beginners
Duration:00:00:23
Opening credits for design algorithms to solve common problems
Duration:00:00:14
Chapter 1: Designing an algorithm
Duration:00:21:49
Chapter 2: Divide and conquer
Duration:00:49:55
Chapter 3: Greedy algorithms
Duration:01:20:37
Chapter 4: Dynamic programming
Duration:00:47:11
Chapter 5: Branch and bound
Duration:00:18:09
Chapter 6: Randomized algorithm
Duration:00:19:58
Chapter 7: Recursion and backtracking
Duration:00:39:50
Closing credits for design algorithms to solve common problems
Duration:00:00:22
Opening credits for advanced data structures for algorithms
Duration:00:00:13
Part 1: Advanced lists
Duration:01:10:46
Part 2: Advanced trees
Duration:01:52:26
Part 3: Disjoint sets
Duration:00:17:42
Part 4: Advanced heaps and priority queues
Duration:01:27:17
Closing credits for advanced data structures for algorithms
Duration:00:00:20
Ending Credits
Duration:00:00:27