School taught us that programs need instructions to accomplish dedicated tasks like sequencing numbers, sorting tables, etc. The virtual system must store, retrieve, and perform these operations to be symmetrical. In other words, a data structure stores retrieves and organizes data efficiently using algorithms. 

DSA requires at least one programming language, and Python is the best option today. According to reports, Python ranked #1 among Java, C/C++, etc.. Additionally, there are over 32,000 Python Developer jobs in India and 134,000+ worldwide, so people prefer Python.

Python is easy to learn, supporting object-oriented, functional, and procedural programming paradigms. Learning DSA in Python can be enjoyable. 

What are the requirements for learning DSA in Python?

• Python is built on various factors. Write and run tiny Python programs in an editor or IDE.
• Learn Python lists, tuples, dictionaries, and strings. Do indexing, slicing, adding, removing, sorting, searching, and iterating right. Know each data structure’s time and space complexity pros and downsides.
• Know arithmetic, algebra, geometry, calculus, discrete mathematics, set theory, logic, and proofs. Asymptotic notation, recurrence relations, induction, and recursion should help you assess algorithms and data structures for efficiency and accuracy.

Reason to learn DSA in Python

Programmers can easily organize, manage, and store data for access and modification using Python data structures. Python has user-defined and built-in data structures like lists, tuples, sets, and dictionaries. Programmers can fully manipulate DSA in Python. 

LinkedIn reports that 15,000+ DSA positions are available for grads and professionals at leading firms worldwide. Python Data Structures and Algorithms developers earn $114,545 annually. This exceeds Indeed.com’s average by 8.31%. Learn generic Python data structures and techniques without wasting time. 

Example of the Resources

Some of the examples of the resources that you can use for learning DSA in Python are:

1. Basics of Python with Data Structures and Algorithms [Coding Ninjas Best Coures]

This DSA in Python course is one of the most popular courses in Coding Ninjas. If you wish to acquire knowledge of DSA from scratch (concept building), the course is beneficial. Accessible via Coding Ninjas’ website, the Basics of Python with Data Structures and Algorithms certification program is an online course. Those who enrol in the course will already be familiar with Python-related programming principles. It will be possible for students to comprehend concepts like recursion, loops, conditions, and dynamic programming. 

• Applicants will be able to pick up the basics of programming.
• Students will gain an understanding of algorithms and how they work.
• Two-dimensional lists will be covered in the Basics of Python with Data Structures and Algorithms course for participants.
• Candidates will gain knowledge of time and space complexity as well as recursion.
• Students will learn about linked lists and OOPs.
• Stacks, queues, BST, and other concepts are covered in the Basics of Python with Data Structures and Algorithms program for candidates.
• Dynamic programming and Tries and Huffman coding will be taught to the students. 

This course offers a comprehensive set of tools that will help you advance your coding abilities. With the certification, students can raise their profile. They can also highlight on their CVs and resumes the abilities they have acquired over the course.

2. Algorithms and Data Structures in Python [Udemy Best Course]

Udemy offers another hands-on DSA in Python course. This course shows how to build modern arrays, linked lists, graph algorithms, and sorting from scratch. One of the most extensive Python data structure and algorithm courses, created by Holczer Balazs, has over 160 lessons and 14.5 hours of information.

• The first portion covers basic data structures, including linked lists, stacks, queues, binary search trees, heaps, and complex ones like AVL and red-black trees.
• The second half of this Python course covers sophisticated graph algorithms like spanning trees, shortest path methods, and graph traversing.
• Instruction begins each chapter with a theoretical explanation of each algorithm or data structure, then produces the Python code. This program is excellent for beginners and teaches theory and practice.

The course has over 14K students and an average rating of 4.2 from 22000 reviews, proving its quality. 2’189 reviews

3. Python for Data Structures, Algorithms, and Interviews!

This is the best Python Data Structure and Algorithms Udemy course. Python data structure training teaches you the data structures and techniques you need for daily programming and coding interviews. It helps to solve basics like how to check the Python version in CMD. 

Jose Portilla, instructor of Complete Python 3 Bootcamp, designed this course. Social proof: This course has over 51,309 students and an average rating of 4.4 from 7,892 ratings.

Key topics in this course:

Making an amazing CV

• Build a recruiter-friendly LinkedIn and Github profile
• All major Python data structures and algorithms like arrays, lists, and dictionaries
• Hack your following coding interview with mocks.

This Python course systematizes your algorithm and data structure knowledge and provides wonderful activities to evaluate your skills.

4. Python Data Structures [Coursera Best Course]

This is a popular online Python Data Structure course with over 561,102 students.

Coursera’s most popular Python for Everybody Specialization includes this University of Michigan course. More than 50K reviews give Charles Russell Severance’s course a 4.9 average rating, which is fantastic.

Here are the course’s primary lessons.

• Install and build Python programs and utilize Python 3 to read, write, and manipulate accurate data.
• How to store, organize, and retrieve values from a variable using lists.
• Discover how to store critical data in dictionaries as a Python variable. 
• Master Python tuples for data sorting.
• Get lifetime access to 10+ readings, 7 quizzes, and 24 videos, with a shareable digital certificate and graded assignment feedback.

5. LeetCode In Python: 50 Algorithms Coding Interview Questions

This is one of Udemy’s unique 2023 DSA in Python courses. Python programmers who wish to practice data structure and algorithm challenges for coding interviews will find it handy.

In this course, LeetCode questions are solved in Python and explained, which helps you learn problem-solving, data structures, and algorithms for technical interviews at Google and Amazon.

The title says it solves 50 hand-picked leet code problems involving text, arrays, lists, dictionaries, trees, hash tables, graphs, stacks, queues, etc.

You will also master valuable techniques like sliding windows, backtracking, dynamic programming, and problem-solving tips for actual interviews.

Although the course has sound issues, its substance and elegance make up for it. Enjoy how two videos—explanation and implementation—make learning easy and productive. Impressive social proof: the course has a 4.5 average rating.

6. Python Data Structure [edX]

The course EdX Data Structure in Python is designed to allow everyone to explore data-filled variables. People will be able to know how to keep a string, a list, and a dictionary. It’s the whole Python programming course. This will help you understand some fundamental elements of data structure and analysis.

• This five-module edX Online Python Data Structure Tutorial covers Python’s strings, lists, and tuples.
• Use lists, dictionaries, and tuples to store, represent, and manipulate data.
• List creation in Python and libraries.
• Create dictionaries to store several datasets.
• Sort and organize for subsequent processing. 
• How to utilize Python tuples.
• Get unlimited study materials, mentorship, and graded assignments.

Conclusion

Python syntax, semantics, data structures, and mathematical and logical reasoning are needed to study DSA. Choose books, online courses, videos, and more to learn DSA in Python that match your goals, preferences, and degree of competence. 

Python DSA should be practiced and applied in coding platforms, projects, and challenges to solve real-world problems and construct helpful and exciting software solutions.

DSA in Python lets you study programming and problem-solving, improve your job, and experiment with new methods.