Just Enough Data Structures in Python By Examples

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.
Data Structures
Description

Hi, Welcome to Just Enough Data Structures in Python By Examples course for Python Built-in DS .

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.