Advanced Data Structures and Algorithms in Python

Advanced Data Structures and Algorithms in Python, available at $54.99, has an average rating of 3.3, with 33 lectures, 7 quizzes, based on 26 reviews, and has 300 subscribers.

You will learn about Improve your problem-solving skills by learning how to approach some out-of-the-box problems Develop new algorithms and solutions to problems by combining other algorithms in creative ways Write clean implementations that significantly improve an algorithm’s runtime by taking advantage of various tips and tricks Avoid certain misconceptions circulating online by discovering how they (probably) got started and learning how to avoid falling for similar ones in the future Find out why algorithms are not scary things professors and interviewers use to frighten people This course is ideal for individuals who are The topics presented here are suitable for programmers with various levels of experience. It is particularly useful for The topics presented here are suitable for programmers with various levels of experience.

Enroll now: Advanced Data Structures and Algorithms in Python

Summary

Title: Advanced Data Structures and Algorithms in Python

Price: $54.99

Average Rating: 3.3

Number of Lectures: 33

Number of Quizzes: 7

Number of Published Lectures: 33

Number of Published Quizzes: 7

Number of Curriculum Items: 40

Number of Published Curriculum Objects: 40

Original Price: $109.99

Quality Status: approved

Status: Live

What You Will Learn

Improve your problem-solving skills by learning how to approach some out-of-the-box problems
Develop new algorithms and solutions to problems by combining other algorithms in creative ways
Write clean implementations that significantly improve an algorithm’s runtime by taking advantage of various tips and tricks
Avoid certain misconceptions circulating online by discovering how they (probably) got started and learning how to avoid falling for similar ones in the future
Find out why algorithms are not scary things professors and interviewers use to frighten people

Who Should Attend

The topics presented here are suitable for programmers with various levels of experience.

Target Audiences

The topics presented here are suitable for programmers with various levels of experience.

As a developer, you’ll have certainly heard about various data structures and algorithms. However, have you ever thought profoundly about them and their impact on the performance of your applications? If not, it’s high time to take a look at this topic, and this course is a one-stop guide to master it!

This course will teach you the necessary theory and applications to properly understand the advanced algorithms and data structures that are critical to various problems and how to implement them. We’ll also go hands-on and reveal tips and tricks for optimizations, identifying the right approaches and presenting convincing explanations. And, you will get it all in a modern, popular, and well-documented language: Python. Finally, you’ll learn how to develop complex algorithms that are easy to understand, debug, and reusable in various applications.

By the end of the course, you’ll know how to develop complex algorithms that are easy to understand, debug, and reusable in various applications.

About the Author

Vlad Sebastian Ionescu is first and foremost a teacher. He holds a Ph.D. in Machine Learning and currently various university courses and tutorials covering languages and concepts such as Python, Java, algorithms and data structures, C#, machine learning, and web development.

He also possesses a Stack Overflow gold badge in algorithmic tagging.

His philosophy is “if I can’t explain it well enough for most people to understand it, I need to go back and understand it better myself before trying again”. He has personally run into all of the problems discussed in the course at some point in his professional life. This makes him adept at understanding programming problems – and, more critically, how to resolve them… and how to explain the solutions

Course Curriculum

Chapter 1: Doing a Lot with Very Little

Lecture 1: The Course Overview

Lecture 2: From Painfully Slow to Optimal: The Maximum Sum Subarray

Lecture 3: Find the Factorial with a Given Number of Zeros

Lecture 4: Find the Given-Length Subarray with the Maximum Minimum

Lecture 5: Array Problems Involving Modulos

Lecture 6: Useful Math: The Inclusion-Exclusion Principle

Chapter 2: More Complex Algorithms on Arrays

Lecture 1: Rolling Hashes for Constructing a Palindrome

Lecture 2: Efficiently Counting Subarrays with a Given Sum

Lecture 3: Binary Searching for an Optimal Subarray Length

Lecture 4: Manacher’s Algorithm

Lecture 5: Optimizing the Sieve of Eratosthenes

Chapter 3: General Recursive Algorithms

Lecture 1: The Towers of Hanoi with Four Pegs

Lecture 2: Evaluating Arithmetic Expressions with a Recursive Descent Parser

Lecture 3: Matrix Exponentiation and Fibonacci-Like Functions

Lecture 4: A Sum of Powers

Lecture 5: Finding a Permutation with a Given Property

Chapter 4: Dynamic Programming

Lecture 1: What Is DP?

Lecture 2: The Minimum Sum Path in a Matrix

Lecture 3: A More Complex Minimum Sum Path in a Matrix

Lecture 4: Counting the Number of Ways to Paint a Fence

Lecture 5: Counting Increasing Subsequences

Chapter 5: Advanced Dynamic Programming

Lecture 1: Counting Digit Sums Divisible by d

Lecture 2: Range Minimum Queries with DP

Lecture 3: Another Matrix Path Problem

Lecture 4: Dynamic Programming on Trees

Lecture 5: TSP and the Held-Karp Algorithm

Chapter 6: Tree-Based Data Structures

Lecture 1: Segment Trees and the RMQ Problem

Lecture 2: Segment Trees with Lazy Updates

Lecture 3: Binary Indexed Trees

Lecture 4: Binary Indexed Trees for the RMQ Problem

Lecture 5: Treaps

Chapter 7: Graph Theory Algorithms

Lecture 1: The Lowest Common Ancestor

Lecture 2: The Shortest Path and Back

Instructors

Packt Publishing
Tech Knowledge in Motion

Rating Distribution

1 stars: 2 votes
2 stars: 3 votes
3 stars: 4 votes
4 stars: 7 votes
5 stars: 10 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

Menu