Chapter 1: Introduction
- 1.1 Overview of Coding Interviews
- Understanding the purpose and structure of coding interviews.
- Commonly tested skills and topics.
- 1.2 Why Python for Coding Interviews?
- Advantages of using Python in the interview process.
- Popularity and readability.
Chapter 2: Python Basics Review
- 2.1 Variables and Data Types
- Numbers, strings, and booleans.
- Variable assignment and naming conventions.
- 2.2 Control Flow
- Conditional statements (if, elif, else).
- Loops (for, while).
- 2.3 Functions and Modules
- Defining and calling functions.
- Importing modules.
Chapter 3: Data Structures in Python
- 3.1 Lists
- Operations, indexing, and slicing.
- List comprehension.
- 3.2 Sets
- Basic operations and use cases.
- 3.3 Dictionaries
- Key-value pairs and dictionary methods.
- 3.4 Tuples
- Immutable sequences.
Chapter 4: Algorithms
- 4.1 Searching Algorithms
- Linear search, binary search.
- 4.2 Sorting Algorithms
- Bubble sort, insertion sort, quicksort.
- 4.3 Recursion
- Understanding and implementing recursive solutions.
Chapter 5: String Manipulation
- 5.1 Basic String Operations
- Concatenation, slicing, and indexing.
- 5.2 String Algorithms
- String matching, anagrams, palindrome.
Chapter 6: Tree and Graph Data Structures
- 6.1 Trees
- Binary trees, tree traversal algorithms.
- 6.2 Graphs
- Basic graph representations and traversal.
Chapter 7: Dynamic Programming
- 7.1 Introduction to Dynamic Programming
- Understanding the concept.
- 7.2 Dynamic Programming Techniques
- Memoization, bottom-up approach.
Chapter 8: Object-Oriented Programming (OOP)
- 8.1 Classes and Objects in Python
- Defining classes, creating objects.
- 8.2 Inheritance and Polymorphism
- Utilizing OOP concepts in coding interviews.
Chapter 9: Advanced Topics
- 9.1 Big O Notation
- Understanding time and space complexity.
- 9.2 Bit Manipulation
- Solving problems using bitwise operations.
Chapter 10: Common Interview Questions
- 10.1 Problem-Solving Strategies
- Breaking down problems, understanding requirements.
- 10.2 Examples of Real Interview Questions
- Walkthroughs and solutions.
Chapter 11: Coding Interview Tips and Strategies
- 11.1 Time Management
- Balancing time during interviews.
- 11.2 Debugging Skills
- Strategies for finding and fixing bugs.
- 11.3 Soft Skills in Coding Interviews
- Communication and problem-solving approach.
Chapter 12: Practice Problems and Mock Interviews
- 12.1 The Importance of Practice
- Setting up a practice routine.
- 12.2 Mock Interviews
- Simulating real interview scenarios.
Chapter 13: Conclusion
- 13.1 Recap of Key Concepts
- Summarizing essential Python and coding interview topics.
- 13.2 Next Steps
- Further resources and continued learning.