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Python Data Structures & Algorithms

Ace Coding Interviews

Ahmed Elsakka

Welcome to the Data Structures and Algorithms in Python Course.

Are you a Python programmer who wants to write efficient code and improve your programming and problem solving skills ?

Read more

Welcome to the Data Structures and Algorithms in Python Course.

Are you a Python programmer who wants to write efficient code and improve your programming and problem solving skills ?

Do you have an upcoming coding interview and you want to ace it with confidence ?

If the answer is yes, then this course is the right choice for you.

In this course you will learn everything about Data Structures and Algorithms and how to implement and use them in Python.

The concepts are explained with animations which makes it much more easier to understand and memorize.

You will also apply your knowledge throughout the course via coding exercises and Leetcode coding challenges with video solutions.

The course covers the following topics:

General

  • Why Should You Learn Data Structures and Algorithms ?

  • What are Data Structures ?

  • What are Algorithms ?

Big O Notation

  • Linear Complexity - O(n)

  • Constant Complexity - O(1)

  • Quadratic Complexity - O(n^2)

  • Logarithmic Complexity - O(logn)

  • Constants in Big O

  • Dominant and Non-Dominant Factors in Big O

  • Complexities Comparison

Data Structures

  • Linked Lists

  • Doubly Linked Lists

  • Stacks

  • Queues

  • Sets

  • Trees

  • Tries

  • Heaps

  • Hash Tables

  • Graphs

Algorithms

  • Linear Search

  • Binary Search

  • Bubble Sort

  • Insertion Sort

  • Selection Sort

  • Merge Sort

  • Recursion

  • Tree Traversal

  • Graph Traversal

I'm confident that you will enjoy this course, but if you for some reason are not happy with the course it's backed by Udemy's 30 day money back guarantee, so nothing to lose :)I'm excited to see you in the course, hit that enroll button and start your mastering Data Structures & Algorithms journey :)

Enroll now

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What's inside

Learning objectives

  • Understand data structures and algorithms & how to implement and use them in python
  • Understand big o notation and how to calculate space & time complexities
  • Improve your problem solving skills
  • Enhance your programming skills
  • Leetcode challenges with video solutions
  • Understand how to decide when to use a specific algorithm or data structure for different use cases
  • Ace coding interviews

Syllabus

Introduction
Why Should You Learn Data Structures and Algorithms ?
What are Data Structures ?
What are Algorithms ?
Read more
Big O Notation
Introduction to Big O Notation
Linear Complexity - O(n)
Constant Complexity - O(1)
Quadratic Complexity - O(n^2)
Logarithmic Complexity - O(logn)
Constants in Big O
Dominant and Non-Dominant Factors in Big O
Complexities Comparison
Big O Notation: Practical
Big O Notation's Quiz
Big O Calculation
Linked Lists
Introduction to Linked Lists
Linked List Class Implementation
Linked List: Add Element
Linked List: Append Implementation
Linked List: Prepend Implementation
Linked List: Iterating
Linked List: Iterating Implementation
Linked List: Removing Elements
Linked List: Removing Elements Implementation
Time Complexity of Linked Lists Operations
When to Use Linked Lists
Linked List Use Case: Shopping Cart
Linked Lists: Practical
Linked List's Quiz
Leetcode Challenge - Reverse Linked List
Leetcode Challenge - Reverse Linked List: Solution
Leetcode Challenge - Middle of the Linked List
Leetcode Challenge - Middle of the Linked List: Solution
Doubly Linked Lists
Introduction to Doubly Linked Lists
Doubly Linked List Class Implementation
Doubly Linked List: Append Implementation
Doubly Linked List: Prepend Implementation
Doubly Linked List: Delete Implementation
Time Complexity of Doubly Linked Lists Operations
Doubly Linked List Use Case: Text Cursor
Doubly Linked Lists: Practical
Doubly Linked Lists Quiz
Stacks
Introduction to Stacks
Stack Implementation: Stack and Node Classes
Stack Implementation: Push
Stack Implementation: Pop & isEmpty
Python Built-In List as Stack
Stack Use Case: Text Editor Undo Functionality
Stacks: Practical
Stack's Quiz
Reverse String using a Stack
Leetcode Challenge - Valid Parentheses
Leetcode Challenge - Valid Parentheses: Solution
Queues
Introduction to Queues
Queue Implementation: Queue and Node Classes
Queue Implementation: isEmpty
Queue Implementation: Enqueue
Queue Imeplementation: Dequeue
Queue Use Case: Print Service
Queues: Practical
Queue's Quiz
Leetcode Challenge - Implement Queue Using Two Stacks
Leetcode Challenge - Implement Queue Using Two Stacks: Solution
Sets
Introduction to Sets
Creating and Initializing Sets
Set's Methods and Operations
Sets Big O
Set Use Case: Unique Words Count
Sets Practical
Set's Quiz
Remove Duplicates
Trees
Introduction to Trees
Binary Trees
Complete Binary Trees
Binary Search Trees
Binary Search Trees: Insert Operation
Binary Search Trees: Class Implementation
Binary Search Trees: Insert Operation Implementation
Binary Search Trees: Search Operation Implementation
Trees: Practical
Tree's Quiz
Leetcode Challenge: Search in a Binary Search Tree
Leetcode Challenge - Search in a Binary Search Tree: Solution
Heaps
Introduction to Heaps
Heaps: Insert
Heaps: Pop
Heap Implementation
Heap Implementation: Insert & Heapify Up
Heap Implementation: Pop
Heap Implementation: Heapify Down
Using heapq as Minimum Heap in Python
Heap Operations Time Complexities

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Ideal for Python programmers seeking to enhance their programming and problem-solving capabilities
Provides a comprehensive foundation in Data Structures and Algorithms, enabling learners to understand and implement them effectively in Python
Suitable for learners preparing for coding interviews, as it includes Leetcode challenges with video solutions
Emphasizes practical application, with exercises and coding challenges throughout the course
Taught by Ahmed Elsakka, an experienced instructor with a strong understanding of Data Structures and Algorithms
May require familiarity with basic programming concepts and Python syntax before enrolling

Save this course

Save Python Data Structures & Algorithms: Ace Coding Interviews to your list so you can find it easily later:
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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Python Data Structures & Algorithms: Ace Coding Interviews with these activities:
Read 'Grokking Algorithms'
Provides a clear and intuitive explanation of algorithms
View Grokking Algorithms, Second Edition on Amazon
Show steps
  • Purchase or borrow the book
  • Read the book and take notes
  • Complete the exercises in the book
Learn about Big O with VisuAlgo
VisuAlgo provides a visual and interactive way to understand big O notation
Show steps
  • Go to the VisuAlgo website
  • Select the 'Big O' tab
  • Follow the interactive tutorials
Attend a Python Meetup
Attending meetups allows you to connect with others in the field
Show steps
  • Find a Python meetup in your area
  • Attend the meetup
  • Network with other Python developers
Six other activities
Expand to see all activities and additional details
Show all nine activities
Form a Study Group with Coursemates
Study groups provide an environment for collaboration and peer learning
Show steps
  • Reach out to coursemates and form a study group
  • Schedule regular meetings
  • Discuss course material and work on projects together
Practice Linked List Problems
Solve leetcode problems on linked lists to improve understanding
Show steps
  • Pick a leetcode problem on linked lists
  • Implement a solution in Python
  • Compare your solution to the optimal solution
Build a Simple Python Calculator
Building a project helps apply knowledge and skills
Show steps
  • Plan the calculator's functionality
  • Implement the calculator's logic in Python
  • Test and debug the calculator
Practice Binary Search Tree Problems
Solving leetcode problems on binary search trees reinforces understanding
Show steps
  • Pick a leetcode problem on binary search tree
  • Implement the solution in Python
  • Compare your solution to the optimal solution
Practice Dynamic Programming Problems
Dynamic programming problems help develop problem-solving skills
Show steps
  • Pick a leetcode problem on dynamic programming
  • Implement the solution in Python
  • Compare your solution to the optimal solution
Blog Post: Data Structures in Python
Writing a blog post helps solidify knowledge
Show steps
  • Outline the key concepts of data structures in Python
  • Provide examples and code snippets
  • Edit and proofread
  • Publish the blog post

Career center

Learners who complete Python Data Structures & Algorithms: Ace Coding Interviews will develop knowledge and skills that may be useful to these careers:

Reading list

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Course image
Effort
6 total hours
Via
Udemy
Instructor
Ahmed Elsakka
Language
English
Good to know
Ideal for Python programmers seeking to enhance their programming and problem-solving capabilities
Provides a comprehensive foundation in Data Structures and Algorithms, enabling learners to understand and implement them effectively in Python
Suitable for learners preparing for coding interviews, as it includes Leetcode challenges with video solutions
Emphasizes practical application, with exercises and coding challenges throughout the course
Taught by Ahmed Elsakka, an experienced instructor with a strong understanding of Data Structures and Algorithms
May require familiarity with basic programming concepts and Python syntax before enrolling
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