150+ Exercises – Data Structures in Python – Hands-On

150+ Exercises – Data Structures in Python – Hands-On, available at $59.99, has an average rating of 4.25, with 183 lectures, 154 quizzes, based on 70 reviews, and has 39548 subscribers.

You will learn about Built-in data structures: list, tuple, set, dict, frozenset collections package: namedtuple, ChainMap, Counter, deque, defaultdict Implementations: Queue, Double-Ended Queue, Stacks Numpy arrays solve 150+ exercises with data structures in Python deal with real programming problems work with documentation and Stack Overflow guaranteed instructor support This course is ideal for individuals who are Python developers or programmers who want to strengthen their understanding and implementation of various data structures in Python or students or individuals studying computer science or software engineering who want to gain practical experience with different data structures and their operations using Python or programmers transitioning to Python from other programming languages who want to learn how to implement and utilize data structures in Python or professionals working on projects that involve handling and managing data, who want to enhance their skills in choosing and using appropriate data structures in Python or self-learners or enthusiasts interested in improving their knowledge of data structures and developing their programming skills using Python or interview candidates preparing for technical interviews that require knowledge of data structures in Python It is particularly useful for Python developers or programmers who want to strengthen their understanding and implementation of various data structures in Python or students or individuals studying computer science or software engineering who want to gain practical experience with different data structures and their operations using Python or programmers transitioning to Python from other programming languages who want to learn how to implement and utilize data structures in Python or professionals working on projects that involve handling and managing data, who want to enhance their skills in choosing and using appropriate data structures in Python or self-learners or enthusiasts interested in improving their knowledge of data structures and developing their programming skills using Python or interview candidates preparing for technical interviews that require knowledge of data structures in Python.

Enroll now: 150+ Exercises – Data Structures in Python – Hands-On

Summary

Title: 150+ Exercises – Data Structures in Python – Hands-On

Price: $59.99

Average Rating: 4.25

Number of Lectures: 183

Number of Quizzes: 154

Number of Published Lectures: 183

Number of Published Quizzes: 154

Number of Curriculum Items: 337

Number of Published Curriculum Objects: 337

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Built-in data structures: list, tuple, set, dict, frozenset
collections package: namedtuple, ChainMap, Counter, deque, defaultdict
Implementations: Queue, Double-Ended Queue, Stacks
Numpy arrays
solve 150+ exercises with data structures in Python
deal with real programming problems
work with documentation and Stack Overflow
guaranteed instructor support

Who Should Attend

Python developers or programmers who want to strengthen their understanding and implementation of various data structures in Python
students or individuals studying computer science or software engineering who want to gain practical experience with different data structures and their operations using Python
programmers transitioning to Python from other programming languages who want to learn how to implement and utilize data structures in Python
professionals working on projects that involve handling and managing data, who want to enhance their skills in choosing and using appropriate data structures in Python
self-learners or enthusiasts interested in improving their knowledge of data structures and developing their programming skills using Python
interview candidates preparing for technical interviews that require knowledge of data structures in Python

Target Audiences

Python developers or programmers who want to strengthen their understanding and implementation of various data structures in Python
students or individuals studying computer science or software engineering who want to gain practical experience with different data structures and their operations using Python
programmers transitioning to Python from other programming languages who want to learn how to implement and utilize data structures in Python
professionals working on projects that involve handling and managing data, who want to enhance their skills in choosing and using appropriate data structures in Python
self-learners or enthusiasts interested in improving their knowledge of data structures and developing their programming skills using Python
interview candidates preparing for technical interviews that require knowledge of data structures in Python

The “150+ Exercises – Data Structures in Python – Hands-On” course is an in-depth, practical guide designed to provide learners with a comprehensive understanding of Python’s core data structures. These include built-in types like lists, tuples, sets, dictionaries, and strings, as well as advanced structures such as stacks, queues, linked lists, trees, and graphs.

Each unit in this course is dedicated to a particular data structure with a series of hands-on exercises that challenge learners to solve problems using that particular data structure. These exercises range in complexity, catering to various skill levels and providing opportunities for learners to apply and consolidate their knowledge.

In addition, each exercise is accompanied by a thorough solution, giving learners the chance to review their work and understand different approaches to problem-solving. This approach reinforces learning and boosts confidence in handling Python’s data structures.

This course is suitable for learners who have a basic understanding of Python and want to delve deeper into how data can be organized and manipulated within the language. Through practical, hands-on exercises, learners will gain the ability to select and implement the appropriate data structure for a given problem, an essential skill in software development and data analysis.

The “150+ Exercises – Data Structures in Python – Hands-On” course is the perfect choice for aspiring Python programmers, data scientists, or anyone seeking to enhance their problem-solving skills in Python.

Python – Code with Simplicity and Power!

Python is a versatile and powerful high-level programming language known for its simplicity and readability. It provides a clean and expressive syntax that emphasizes code readability, making it easier to write and understand compared to many other programming languages. Python supports multiple programming paradigms, including procedural, object-oriented, and functional programming, allowing developers to choose the most suitable approach for their projects.

Python boasts a vast standard library and a rich ecosystem of third-party packages, providing a wide range of tools and functionalities for diverse application domains. It is widely used in web development, scientific computing, data analysis, artificial intelligence, machine learning, automation, and more. Python’s popularity stems from its ease of use, extensive community support, and cross-platform compatibility, enabling developers to write code once and run it on various operating systems.

With its beginner-friendly nature and extensive resources for learning, Python has become an excellent language for individuals starting their programming journey. Its simplicity and versatility make it an ideal choice for prototyping, rapid development, and solving complex problems with concise and elegant code. Python’s philosophy of readability, combined with its broad application domain, has propelled it to be one of the most widely adopted programming languages across industries and disciplines.

Course Curriculum

Chapter 1: Tips

Lecture 1: A few words from the author

Lecture 2: Configuration

Lecture 3: Requirements

Chapter 2: Starter

Lecture 1: Solution 0

Chapter 3: —– BUILT-IN DATA STRUCTURES —–

Lecture 1: Intro

Chapter 4: List

Lecture 1: list – Intro

Lecture 2: Solution 1

Lecture 3: Solution 2

Lecture 4: Solution 3

Lecture 5: Solution 4

Lecture 6: Solution 5

Lecture 7: Solution 6

Lecture 8: Solution 7

Lecture 9: Solution 8

Lecture 10: Solution 9

Lecture 11: Solution 10

Lecture 12: Solution 11

Lecture 13: Solution 12

Lecture 14: Solution 13

Lecture 15: Solution 14

Lecture 16: Solution 15

Lecture 17: Solution 16

Lecture 18: Solution 17

Lecture 19: Solution 18

Lecture 20: Solution 19

Lecture 21: Solution 20

Lecture 22: Solution 21

Lecture 23: Solution 22

Lecture 24: Solution 23

Lecture 25: Solution 24

Lecture 26: Solution 25

Lecture 27: Solution 26

Lecture 28: Solution 27

Lecture 29: Solution 28

Lecture 30: Solution 29

Chapter 5: Tuple

Lecture 1: tuple – Intro