Data Structures & Algorithms in Python – Coding Interview
Data Structures & Algorithms in Python – Coding Interview, available at Free, has an average rating of 3.45, with 17 lectures, based on 126 reviews, and has 12749 subscribers.
You will learn about Data Structures, Algorithms, Coding, Cracking coding interviews, Python This course is ideal for individuals who are Beginner coders or Developers looking to crack coding interviews or Coders who want to learn the easy way of data structures through Python It is particularly useful for Beginner coders or Developers looking to crack coding interviews or Coders who want to learn the easy way of data structures through Python.
Enroll now: Data Structures & Algorithms in Python – Coding Interview
Summary
Title: Data Structures & Algorithms in Python – Coding Interview
Price: Free
Average Rating: 3.45
Number of Lectures: 17
Number of Published Lectures: 17
Number of Curriculum Items: 26
Number of Published Curriculum Objects: 26
Original Price: Free
Quality Status: approved
Status: Live
What You Will Learn
- Data Structures, Algorithms, Coding, Cracking coding interviews, Python
Who Should Attend
- Beginner coders
- Developers looking to crack coding interviews
- Coders who want to learn the easy way of data structures through Python
Target Audiences
- Beginner coders
- Developers looking to crack coding interviews
- Coders who want to learn the easy way of data structures through Python
This course will start from the very basics of algorithms and data structures and cover all the advanced data structures. We will discuss all the concepts that you need to learn and dive deeper into popular coding questions. You do not need any pre-requisite knowledge in data structures before taking this course. So, if you are a newbie or an advanced programmer looking to refresh your knowledge, this is the course for you. Moreover, it is in Python and the solutions to all the coding problems are given in Python, which makes it more interesting and gives you the opportunity to learn Python as well.
The highlight will be the coding problems that will be explained as well as given as exercise in this course. You will learn the following concepts in this course:
1. Big O
2. Arrays
o Basics
o Traverse an array in reverse
o Traverse from both ends
3. Linked List
o Implementation
o Add and delete nodes
4. Stack
o Implementation
5. Queues
o Implementation
6. Hash Maps
o Implementation
o Hash Functions
7. Binary Trees
o Traversal
o Top to Bottom
o Bottom to Top
8. Binary Search Tree
o Implementation
9. Heap
o Implementation
10. Graphs
o Basics
o DFS
o BFS
11. Tries
o Implementation
The following algorithms will be included in these topics:
– Searching
– Sorting
– Recursion
– Tree Traversal
– Breadth First Search
– Depth First Search
– Dynamic Programming
Course Curriculum
Chapter 1: Big O
Lecture 1: Big O
Chapter 2: Arrays
Lecture 1: Arrays
Chapter 3: Linked List
Lecture 1: Linked List – 1
Lecture 2: Linked List – 2
Chapter 4: Stacks
Lecture 1: Stacks – 1
Lecture 2: Stacks – 2
Chapter 5: Queues
Lecture 1: Queues
Chapter 6: Hash Maps
Lecture 1: HashMaps
Chapter 7: Binary Trees
Lecture 1: Binary Trees – 1
Lecture 2: Binary Trees – 2
Chapter 8: Binary Search Trees
Lecture 1: Binary Search Trees
Chapter 9: Heaps
Lecture 1: Heaps – 1
Lecture 2: Heaps – 2
Chapter 10: Graphs
Lecture 1: Graphs – 1
Lecture 2: Graphs – 2
Chapter 11: Tries
Lecture 1: Tries – 1
Lecture 2: Tries – 2
Instructors
-
Aakash Sachdeva
Programming Instructor
Rating Distribution
- 1 stars: 7 votes
- 2 stars: 6 votes
- 3 stars: 35 votes
- 4 stars: 37 votes
- 5 stars: 41 votes
Frequently Asked Questions
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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!
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