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Data Science Notes Part-3 | Python Data Structures

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Data Science Notes Part-3 | Python Data Structures

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Table of Contents-

Chapter 1: Introduction to Python Data Structures

1.1 Overview of Data Structures in Python

--Understanding the importance of data structures

--Why Python is a preferred choice for data manipulation

1.2 Sets in Python

--Definition and characteristics of sets

--Creating and manipulating sets

--Set operations: union, intersection, difference, and more

--Practical examples and use cases

1.3 Dictionaries in Python

--Understanding dictionaries: key-value pairs

--Creating dictionaries and accessing elements

--Modifying dictionaries: adding, updating, and deleting entries

--Iterating over dictionaries

--Applications of dictionaries in real-world scenarios

1.4 Namedtuples

--Introduction to namedtuple: a lightweight data structure

--Creating namedtuples and accessing fields

--Advantages of namedtuples over traditional tuples

--Use cases and examples

Chapter 2: Basic Operations: Indexing, Slicing, and Matrixes

2.1 Indexing and Slicing in Python

--Basics of indexing and slicing in Python sequences

--Accessing elements using positive and negative indices

--Slicing: extracting subsets of sequences

--Advanced slicing techniques and examples

2.2 Matrix Operations in Python

--Introduction to matrices and their representation in Python

--Performing matrix operations: addition, multiplication, and transpose

--Applications of matrices in data analysis and scientific computing

--NumPy: an overview of the powerful matrix manipulation library

Chapter 3: List, Tuples, and Dictionaries Revisited

3.1 Python Lists: Beyond Basics

--Recap of Python lists and their properties

--Advanced list operations: sorting, reversing, and list comprehension

--List manipulation techniques and best practices

3.2 Exploring Tuples in Depth

--Understanding the immutability of tuples

--Tuple unpacking and packing

--Tuple methods and operations

--When to use tuples over lists: guidelines and examples

3.3 Deep Dive into Dictionaries

--Advanced dictionary techniques: comprehension, merging, and filtering

--Working with nested dictionaries

--Efficient dictionary manipulation strategies

Chapter 4: Exercises on List, Tuples, and Dictionary

4.1 Practice Problems: Lists

--A series of exercises to reinforce list manipulation skills

--Solutions and explanations provided for each problem

4.2 Practice Problems: Tuples

--Challenges designed to strengthen tuple-handling abilities

--Detailed solutions for effective learning

4.3 Practice Problems: Dictionaries

--Hands-on tasks to master dictionary operations

--Step-by-step solutions for each exercise


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