Data Structures and Algorithms In Python ( DSA ) from Udemy

This "Data Structures and Algorithms In Python" course is thoroughly detailed and uses lots of animations to help you visualize the concepts.

Instructor is author of popular books "C In Depth" and "Data Structures Through C In Depth" helped 250,000+ students & professionals.

This "Data Structures and Algorithms In Python" tutorial will help you develop a strong background in Data Structures and Algorithms (DSA). The course is broken down into easy to assimilate short lectures, and after each topic there is a quiz that can help you to test your newly acquired knowledge. The examples are explained with animations to simplify the learning of this complex topic. Complete working programs are shown for each concept that is explained.

This Data Structures and Algorithms in Python course provides a comprehensive explanation of data structures like linked lists, stacks and queues, binary search trees, heap, searching and hashing. Various sorting algorithms with implementation and analysis are included in this tutorial.

This Data Structures in Python course covers following topics with Python implementation :

Algorithm Analysis, Big O notation, Time complexity, Singly linked list, Reversing a linked list, Doubly linked list, Circular linked list, Linked list concatenation, Sorted linked list.

Stack, Queue, Circular Queue, Dequeue, Priority queue, Polish Notations, Infix to Postfix, Evaluation of Postfix, Binary Tree, Binary Search Tree, Tree Traversal (inorder, preorder, postorder, level order), Heap, Searching, Hashing

Sorting : Selection, Bubble, Insertion, Shell, Merging, Recursive Merge, Iterative Merge, Quick, Heap, Binary tree, Radix, Address calculation sort

Here is the course content-

Algorithm Analysis
Linked List
Stack and Queue
Binary Tree
Binary Search Tree
Heap
Sorting
Searching
Hashing

Throughout this Data Structures and Algorithms in Python course, a step by step approach is followed to make you understand different Data Structures and Algorithms. You will see code implementation of different data structures in python and algorithms are explained in step-wise manner. Through this course you can build a strong foundation and it will help you to crack Data Structures and Algorithms in Python coding interviews questions and work on projects. Good foundation on Data Structures and Algorithms in Python interview topics helps you to attempt tricky interview questions.

In this Data Structures and Algorithms Through Python In Depth course, Python programs are used for implementing various concepts, but you can easily code them in any other programming language like C++, Java or C#.

This Data Structures and Algorithms In Python online course on udemy will help software developers to refresh the concepts studied in Data Structures and Algorithms In Python book / pdf and also to students learning from referred book / pdf.

This DSA Self Paced course helps students to have great foundation to solve DSA In Python problems. This will help them to solve LeetCode problems and in google faang coding interviews.

What students are saying about this course -

"Very detailed and covers a wide range of topics so far. Great content and explanations. "

"This is an excellent course. One of the best I've seen in udemy. The lecturer's use of visuals is refreshing. Her step-by-step explanations are very clear."

"The examples are really good, which further make the explaining of concept a lot easier. I would highly recommend this class to whoever has not learned any data structures before. "

"The course meets my expectations. Much of this material is review for me, but I am still learning quite a bit. Deepali's accent is hard for me to understand at first, but I got use to it fairly quickly. I try to code the examples myself while Deepali is presenting them. I am enjoying the course."

"I got the C Data Structures book by Deepali Srivastava earlier and it was a great book. So I had no doubt while purchasing this Data Structures course in Python and the course is great. Absolutely 5 star experience."

"It's a great course. I love it. "

"good explanation. good lectures"

"Properly explained each and every topic with in-depth knowledge as well as example.happy to take this course"

"The pace is about right and everything is explained clearly and concisely with relevant examples."

"Excellent stuff.

"I have been a programmer for a few years, and have learned a lot of these concepts "on the job." But this is helping give me a much better foundation."

"Easy language. Understandable. Good use of interactive examples after every theory for explanation."

"Yes, it was more than what I've expected."

"Excellent teaching and demonstration of the material. It is more beneficial for learners to develop their own codes or at least mimic the ones described in the tutorial. I highly recommend this course for anyone interested in Data Structures and Algorithms"

"She was explaining it quite clearly"

"good explanation. good lectures"

"The instructor has selected the topics very intelligently, so that core of data structures is covered. She does not confuse you with plenty of topics. Also for a given problem the internet is full of code examples that are not very straightforward. The instructor of this course has selected the code examples that are very clear. I am discarding tens of python books in favor of her examples. I wish she finds time to give a second volume of the lessons that can cover more topics."

So what are you waiting for, click on Buy button to enroll now and start learning.

What's inside

Learning objectives

Understand the details of data structures and algorithms (dsa) through animations
Learn to write programs for different data structures and algorithms in python
Get the confidence to face programming interviews

Test your knowledge with over 100 quiz questions
Learn how to analyse algorithms
Get the ability to write and trace recursive algorithms

Understand the details of data structures and algorithms (dsa) through animations
Learn to write programs for different data structures and algorithms in python
Get the confidence to face programming interviews
Test your knowledge with over 100 quiz questions
Learn how to analyse algorithms
Get the ability to write and trace recursive algorithms

Syllabus

About course

Introduction to Data Structures and Algorithms Through Python In Depth

Introduction to Data Structures and Algorithms

Important : Source Code Repository required for course

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Provides a comprehensive explanation of fundamental data structures, including linked lists, stacks, queues, and binary search trees, which are essential for software development

Includes implementation and analysis of various sorting algorithms, such as selection, bubble, insertion, and merge sort, which are crucial for efficient data processing

Aims to build a strong foundation to solve DSA problems, which can help learners tackle LeetCode problems and excel in coding interviews at FAANG companies

Uses Python programs for implementing various concepts, but the concepts can be easily translated to other languages like C++, Java, or C#, which promotes versatility

Instructor is the author of popular books on C and data structures, which may provide learners with additional confidence in the course material

Uses animations to help visualize the concepts, which can simplify the learning of this complex topic and make it more accessible to visual learners

Reviews summary

Comprehensive dsa in python

According to students, this course on Data Structures and Algorithms in Python is largely positive, offering detailed and clear explanations of complex concepts. Learners particularly appreciate the effective use of animations to visualize data structures and the really good examples and clear code implementations provided. The course covers a wide range of topics intelligently, making it suitable both for beginners who haven't learned DSA before and experienced programmers needing a strong foundation. A few reviewers noted the instructor's accent was an initial adjustment, but most got used to it quickly. Overall, it's considered an excellent course that exceeded expectations for many.

Some initially find the accent challenging

"Deepali's accent is hard for me to understand at first, but I got use to it fairly quickly."

Animations aid in understanding complex topics

"uses lots of animations to help you visualize the concepts."

"The lecturer's use of visuals is refreshing."

Beneficial for new learners and experienced

"I would highly recommend this class to whoever has not learned any data structures before."

"I have been a programmer for a few years... this is helping give me a much better foundation."

"Much of this material is review for me, but I am still learning quite a bit."

Wide range of topics covered in detail

"Very detailed and covers a wide range of topics so far."

"The instructor has selected the topics very intelligently, so that core of data structures is covered. She does not confuse you with plenty of topics."

Helpful examples simplify learning complex topics

"The examples are really good, which further make the explaining of concept a lot easier."

"Complete working programs are shown for each concept that is explained."

"The instructor... has selected the code examples that are very clear. I am discarding tens of python books in favor of her examples."

Explains concepts clearly and concisely

"The lecturer's step-by-step explanations are very clear."

"good explanation. good lectures"

"She was explaining it quite clearly"

"The pace is about right and everything is explained clearly and concisely with relevant examples."

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 Data Structures and Algorithms In Python ( DSA ) with these activities:

Review Python Fundamentals

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Strengthen your Python foundation to better understand the code examples and implementations used in the course.

Browse courses on Python Syntax

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Review Python syntax and data structures.
Practice writing basic Python functions.
Complete online Python tutorials or exercises.

Review 'Grokking Algorithms'

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Reinforce your understanding of fundamental algorithms and data structures with a visually intuitive guide.

View Grokking Algorithms, Second Edition on Amazon

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Read chapters related to course topics.
Work through the examples and exercises.
Implement the algorithms in Python.

LeetCode Easy Problems

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Sharpen your problem-solving skills by practicing easy-level LeetCode problems related to data structures and algorithms covered in the course.

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Solve 2-3 easy LeetCode problems daily.
Focus on problems related to current course topics.
Analyze solutions and optimize your code.

Four other activities

Expand to see all activities and additional details

Show all seven activities

Create a Data Structure Visualization

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Deepen your understanding by creating a visual representation (e.g., using a diagramming tool or animation) of how a specific data structure works.

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Select a data structure to visualize.
Choose a visualization tool or method.
Create a step-by-step visual explanation.
Share your visualization with peers for feedback.

Implement a Data Structure Library

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Solidify your understanding by building your own Python library of common data structures, including linked lists, stacks, queues, and trees.

Show steps

Choose data structures to implement.
Write Python code for each data structure.
Write unit tests to ensure correctness.
Document your library for future use.

Review 'Introduction to Algorithms'

Show steps

Expand your knowledge with a comprehensive textbook on algorithms, providing a deeper theoretical understanding.

View Introduction to Algorithms, fourth edition on Amazon

Show steps

Read chapters related to course topics.
Work through the examples and exercises.
Focus on the mathematical analysis of algorithms.

Tutor other students

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Reinforce your understanding by helping other students with course concepts and assignments.

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Offer assistance to classmates in need.
Explain concepts in your own words.
Answer questions in online forums.

Career center

Learners who complete Data Structures and Algorithms In Python ( DSA ) will develop knowledge and skills that may be useful to these careers:

Software Engineer

A software engineer designs, develops, and tests software applications. This Data Structures and Algorithms In Python course helps build a strong foundation in data structures and algorithms, which are essential for efficient software design and problem-solving. The course's coverage of linked lists, stacks, queues, binary search trees, heaps, searching, and hashing directly applies to building robust and scalable software. The animations and step-by-step explanations in the course enable a software engineer to understand and implement the concepts effectively. Furthermore, the course provides implementation in Python, which is a very popular and widely-used programming language.

See salaries and explore the career path for Software Engineer

Algorithm Developer

An algorithm developer designs and implements algorithms for various applications. This Data Structures and Algorithms In Python course provides a thorough understanding of algorithm design principles and implementation techniques. The course covers a wide range of sorting algorithms, searching algorithms, and data structures like linked lists, stacks, queues, heaps, and binary search trees. An algorithm developer can benefit from the course's animations and step-by-step explanations, which make complex concepts easier to grasp. By learning how to analyze algorithms through Big O notation, an algorithm developer can develop more efficient and scalable solutions.

See salaries and explore the career path for Algorithm Developer

Backend Developer

A backend developer builds and maintains the server-side logic and databases of web applications. This Data Structures and Algorithms In Python course gives one the tools to design and optimize data storage and retrieval mechanisms. The course's implementation examples of linked lists, stacks, queues, binary search trees, and hashing assist in building efficient backend systems. A backend developer can use the course's coverage of algorithm analysis through Big O notation to improve server performance. The animations and step-by-step explanations enable a backend developer to understand and implement the concepts in Python, a popular language for backend development.

See salaries and explore the career path for Backend Developer

Full-Stack Developer

A full stack developer works on both the frontend and backend of web applications. This Data Structures and Algorithms In Python course gives a full stack developer an all-around view of how data is handled, stored, and displayed. The course's coverage of data structures and algorithms helps optimize both the client-side and server-side performance. A full stack developer needs to be able to solve problems and this course will help them practice with coding examples, quizzes, and animations. Furthermore, a full stack developer can learn to analyze algorithms through Big O notation.

See salaries and explore the career path for Full-Stack Developer

Machine Learning Engineer

A machine learning engineer develops and deploys machine learning models. This Data Structures and Algorithms In Python course helps optimize the performance of machine learning algorithms. The course may be particularly useful for understanding and implementing data structures such as heaps for priority queues in machine learning applications. A machine learning engineer can also learn to analyze algorithms, covered in this course using Big O notation, which is important to assessing the scalability of machine learning models. Additionally, the course provides hands-on experience with Python, a primary language in machine learning.

See salaries and explore the career path for Machine Learning Engineer

Research Scientist

A research scientist, typically requiring an advanced degree, conducts research in various fields, often involving data analysis and algorithm development. This Data Structures and Algorithms In Python course helps to analyze data and develop algorithms. The course's introduction to data structures and algorithm analysis through Big O notation provides skills to assess the efficiency and scalability of research methods. A research scientist can also use skills taught in the course such as linked lists, stacks, and queues.

See salaries and explore the career path for Research Scientist

Data Analyst

A data analyst collects, processes, and analyzes data to identify trends and insights. This Data Structures and Algorithms In Python course contributes to the efficiency of data manipulation and analysis tasks. The course's examination of searching and sorting algorithms helps a data analyst improve data retrieval and organization. By learning about Big O notation, a data analyst can also improve their knowledge of the time and space complexity of data operations. A data analyst can leverage skills taught in the course such as binary trees, heaps, and hashing.

See salaries and explore the career path for Data Analyst

Game Developer

A game developer designs, develops, and tests video games. This Data Structures and Algorithms In Python course gives one skills in optimizing game performance and creating engaging gameplay mechanics. The course's consideration of data structures such as binary trees and graphs may be particularly useful for game development. A game developer can use algorithm analysis, described in this course using Big O notation, to assess the performance of different game algorithms. Additionally, the course provides practical examples in Python, which can be used for game scripting and prototyping.

See salaries and explore the career path for Game Developer

Database Administrator

A database administrator manages and maintains databases, ensuring data integrity and availability. This Data Structures and Algorithms In Python course provides knowledge needed to optimize database performance and efficiency. The course's exploration of hashing, indexing techniques, and search algorithms will help a database administrator make databases run more efficiently. A database administrator who wishes to advance their career can also benefit from the course's coverage of binary search trees and other data structures. Furthermore, the course's use of Python shows how to use programming with databases.

See salaries and explore the career path for Database Administrator

Data Scientist

A data scientist analyzes large datasets to extract meaningful insights and develop data-driven solutions. This Data Structures and Algorithms In Python course may be useful in optimizing data processing and analysis pipelines. The course's exploration of search algorithms, sorting algorithms, and hashing aids in efficient data retrieval and manipulation. By learning how to analyze algorithms through Big O notation, one can better understand the time and space complexity of data science operations. For a data scientist who wishes to become more skilled, there are also topics covered such as linked lists, stacks, and queues.

See salaries and explore the career path for Data Scientist

Web Developer

A web developer creates and maintains websites and web applications. This Data Structures and Algorithms In Python course may be useful for optimizing website performance and improving user experience. The course's exploration of searching and sorting algorithms will help a web developer more efficiently retrieve and display data. By learning about Big O notation, a web developer can also improve their knowledge on the time and space complexity of web operations. A web developer can learn to program in Python, a language that is sometimes used for backend web services.

See salaries and explore the career path for Web Developer

Quantitative Analyst

A quantitative analyst, often requiring an advanced degree, develops and implements mathematical models for financial analysis and risk management. This Data Structures and Algorithms In Python course may be helpful for optimizing the performance of quantitative models. The course's coverage of algorithm design, data structures, and algorithm analysis through Big O notation helps a quantitative analyst more efficiently process and analyze financial data. Furthermore, the course provides hands-on experience with Python, a common language in quantitative finance. Numerical methods are not covered in this course.

See salaries and explore the career path for Quantitative Analyst

Mobile App Developer

A mobile app developer creates applications for mobile devices. This Data Structures and Algorithms In Python course provides skills to optimize application performance and improve user experience. The course's explanation of data structures and algorithms, including algorithm analysis through Big O notation, helps write efficient code. A mobile app developer should be skilled in data structures such as linked lists, stacks, and queues. Although mobile apps are not typically programmed in Python, the course will still be useful.

See salaries and explore the career path for Mobile App Developer

DevOps Engineer

A DevOps engineer automates and streamlines software development and deployment processes. This Data Structures and Algorithms In Python course may be useful for optimizing infrastructure management and automation scripts. The course's consideration of data structures and algorithm analysis through Big O notation may help a DevOps engineer more efficiently manage infrastructure resources and automate software deployments. The course may also be useful for writing automation scripts in Python. The animations and step-by-step explanations enable a DevOps engineer to understand and implement the concepts efficiently.

See salaries and explore the career path for DevOps Engineer

Embedded Systems Engineer

An embedded systems engineer designs and develops software for embedded systems. This Data Structures and Algorithms In Python course may be useful for optimizing code performance and resource utilization. The course's introduction to data structures and algorithms, along with algorithm analysis through Big O notation, helps write more efficient code. The course's coverage of data structures such as linked lists, stacks, and queues, may be helpful for embedded systems development. Although embedded systems are often programmed in C, there may be opportunities to program them in Python.

See salaries and explore the career path for Embedded Systems Engineer

Data Structures and Algorithms In Python ( DSA )

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What's inside

Learning objectives

Syllabus

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Reviews summary

Comprehensive dsa in python

Activities

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