Data Science Notes Part-3 | Python Data Structures
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