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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 ?

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.

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

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

Traffic lights

Read about what's good
what should give you pause
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

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Reviews summary

Python ds&a for coding interviews

According to students, this course is an excellent resource for those aiming to ace coding interviews and improve their Python programming skills. Learners frequently highlight the clear explanations, often enhanced by helpful animations, which make complex data structures and algorithms more digestible. Many find the inclusion of Leetcode challenges with video solutions to be particularly valuable for practical application. While it provides a solid foundation, some learners suggest a basic understanding of Python is beneficial. The course is widely regarded as a comprehensive guide to core DS&A concepts, making it highly effective for interview preparation.
Provides thorough understanding of fundamental DS&A concepts.
"The breadth of topics covered, from linked lists to graphs, is impressive and thorough for an intro course."
"I feel like I've gained a complete understanding of fundamental data structures and their implementations."
"This course offers a great overview of all the common data structures and algorithms."
Prepares learners effectively for technical coding interviews.
"As someone preparing for interviews, this course covered exactly what I needed to know."
"It gave me the confidence and knowledge to tackle various DS&A problems in interviews."
"I now feel much more prepared for technical interviews after completing this course."
Offers hands-on practice directly relevant to coding interviews.
"The Leetcode challenges are perfectly integrated and the video solutions are a lifesaver for understanding."
"I found the practical coding exercises and Leetcode problems invaluable for applying what I learned."
"I developed my problem-solving skills, especially with the interview-style questions."
Simplifies complex DS&A concepts with effective teaching methods.
"The instructor's explanations are incredibly clear, making complex data structures easy to grasp."
"I really appreciate how the animations helped visualize the algorithms; it made a huge difference."
"This course breaks down difficult topics into understandable chunks, excellent for learning DSA from scratch."
Basic Python familiarity is highly recommended before starting.
"While excellent, I recommend having a solid grasp of Python basics before diving in."
"I found the pace challenging without prior programming experience in Python."
"It was helpful that I already knew Python, allowing me to focus on DS&A concepts."

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
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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