Just Enough Data Structures in Python By Examples

Learn core Python built-in data structures such as lists, dictionaries, tuples and sets that are used in different Apps.

What you'll learn

Creating Lists and storing Different Types of Data using lists.
Multiple Tasks like inserting, extending, sorting, counting or reversing sequences .
Using Operators to Extending Lists in Python
Implementing Queue in Python and Filtering the items.
Working with Sequences of immutable Python objects.
Creating and Handling keys and Values for Dictionaries and copying sequences.
Working with collections of mutable and immutable data.

Requirements

Python Basics such as variables, loops, conditions, operators and methods.

Description

Hi, Welcome to Just Enough Data Structures in Python By Examples course.

In this course we will discuss in details the core built-in data structures such as lists, dictionaries, tuples and sets that are used in different types of Python Apps .

The Data Structure is a data organization, management, and storage format that enables efficient access and modification.

It is a collection of data values, the relationships among them, and the functions or operations that can be applied to the data.

By the end of the course, you will understand:

Creating Lists and storing Different Types of Data using lists.

Multiple Tasks like inserting, extending, sorting, counting or reversing sequences .

Using Operators for Extending Lists in Python.

Implementing Queue in Python and Filtering the items.

Working with Sequences of immutable Python objects.

Working with different Types of built-in methods for sequences.

Creating and Handling keys and Values for Dictionaries and copying sequences.

Working with collections of mutable and immutable data.

In this quick course you’ll learn more than just enough about Python Data Structures very Fast .

Who this course is for:

Anyone who wants to dive deep into Python Data Structures.
Programmers who know the Basics of Python.
Junior Python Developer.
Programmers who are looking for jobs.