
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
Duración:00:00:21
Opening credits for practical guide to learn algorithms for beginners
Duración:00:00:11
Introduction
Duración:00:02:38
Chapter 1: Introduction to algorithms
Duración:00:14:52
Chapter 2: Types of algorithms
Duración:00:15:46
Chapter 3: Describing algorithms
Duración:00:04:06
Chapter 4: Error handling
Duración:00:14:16
Chapter 5: Analysis of algorithms
Duración:00:15:12
Chapter 6: An introduction to writing programs
Duración:00:28:43
Chapter 7: Types of programming languages
Duración:00:11:29
Chapter 8: Important programming techniques
Duración:00:32:16
Chapter 9: Testing the program
Duración:00:06:15
Chapter 10: Sorting and searching algorithms
Duración:01:02:03
Chapter 11: Loop control and decision making
Duración:00:16:36
Chapter 12: Introduction to data structures
Duración:00:15:05
Chapter 13: Comments and formatting
Duración:00:11:12
Chapter 14: Debugging
Duración:00:05:39
Conclusion
Duración:00:00:54
Closing credits for practical guide to learn algorithms for beginners
Duración:00:00:23
Opening credits for design algorithms to solve common problems
Duración:00:00:14
Chapter 1: Designing an algorithm
Duración:00:21:49
Chapter 2: Divide and conquer
Duración:00:49:55
Chapter 3: Greedy algorithms
Duración:01:20:37
Chapter 4: Dynamic programming
Duración:00:47:11
Chapter 5: Branch and bound
Duración:00:18:09
Chapter 6: Randomized algorithm
Duración:00:19:58
Chapter 7: Recursion and backtracking
Duración:00:39:50
Closing credits for design algorithms to solve common problems
Duración:00:00:22
Opening credits for advanced data structures for algorithms
Duración:00:00:13
Part 1: Advanced lists
Duración:01:10:46
Part 2: Advanced trees
Duración:01:52:26
Part 3: Disjoint sets
Duración:00:17:42
Part 4: Advanced heaps and priority queues
Duración:01:27:17
Closing credits for advanced data structures for algorithms
Duración:00:00:20
Ending Credits
Duración:00:00:27