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Python & SQL Bible

Chapter 22 - Appendix C: Python Cheat Sheet

Chapter 1: Python: An Introduction

1.1 Brief History of Python

1.2 Benefits of Python

1.3 Python Applications

1.4 Setting up the Python Environment and Writing Your First Python Program

Chapter 2: Python Building Blocks

2.1. Python Syntax and Semantics

2.2 Variables and Data Types

2.3 Basic Operators

2.4 Practice Exercises of Chapter 2: Python Building Blocks

Chapter 3: Controlling the Flow

3.1 Control Structures in Python

3.2 Error and Exception Handling

3.3 Understanding Iterables and Iterators

3.4 Practice Exercises of Chapter 3: Controlling the Flow

Chapter 4: Functions, Modules, and Packages

4.1 Function Definition and Call

4.2 Scope of Variables

4.3 Modules and Packages

4.4 Recursive Functions in Python

4.5 Practical Exercises of Chapter 4: Functions, Modules, and Packages

Chapter 5: Deep Dive into Data Structures

5.1 Advanced Concepts on Lists, Tuples, Sets, and Dictionaries

5.2 Implementing Data Structures (Stack, Queue, Linked List, etc.)

5.3 Built-in Data Structure Functions and Methods

5.4 Python's Collections Module

5.5 Mutability and Immutability

Chapter 6: Object-Oriented Programming in Python

6.1 Classes, Objects, and Inheritance

6.2 Polymorphism and Encapsulation

6.3 Python Special Functions

6.4 Abstract Base Classes (ABCs) in Python

6.5 Operator Overloading

Chapter 7: File I/O and Resource Management

7.1 File Operations

7.2 Context Managers

7.3 Directories and Filesystems

7.4 Working with Binary Data: The pickle and json modules

7.5 Working with Network Connections: The socket Module

Chapter 8: Exceptional Python

8.1 Error and Exception Handling

8.2 Defining and Raising Custom Exceptions

8.3 Good practices related to raising and handling exceptions

8.4 Logging in Python

8.5 Practical Exercises of Chapter 8: Exceptional Python

Chapter 9: Python Standard Library

9.1 Overview of Python Standard Library

9.2 Exploring Some Key Libraries

9.3 Choosing the Right Libraries

9.4 Practical Exercises of Chapter 9: Python Standard Library

Chapter 10: Python for Scientific Computing and Data Analysis

10.1 Introduction to NumPy, SciPy, and Matplotlib

10.2 Digging Deeper into NumPy

10.3 Working with SciPy

10.4 Visualizing Data with Matplotlib

10.5 Exploring Pandas for Data Analysis

Chapter 11: Testing in Python

11.1 Unit Testing with unittest

11.2 Mocking and Patching

11.3 Test-Driven Development

11.4 Doctest

11.5 Practical Exercises of Chapter 11: Testing in Python

Chapter 12: Introduction to SQL

12.1 Brief History of SQL

Chapter 13: SQL Basics

13.1 Creating Databases and Tables

13.2 Inserting Data into Tables

13.3 Selecting Data from Tables

13.4 Updating Data in Tables

13.5 Deleting Data from Tables

Chapter 14: Deep Dive into SQL Queries

14.1 Advanced Select Queries

14.2 Joining Multiple Tables

14.3 Aggregate Functions

14.4 Practical Exercises of Chapter 14: Deep Dive into SQL Queries

Chapter 15: Advanced SQL

15.1 Subqueries

15.2 Stored Procedures

15.3 Triggers

15.4 Practical Exercises of Chapter 15: Advanced SQL

Chapter 16: SQL for Database Administration

16.1 Creating, Altering, and Dropping Tables

16.2 Database Backups and Recovery

16.3 Security and Permission Management

16.4 Practical Exercises of Chapter 16: SQL for Database Administration

Chapter 17: Python Meets SQL

17.1 Python's sqlite3 Module

17.2 Python with MySQL

17.3 Python with PostgreSQL

17.4 Performing CRUD Operations

17.5 Handling Transactions in Python

Chapter 18: Data Analysis with Python and SQL

18.1 Data Cleaning in Python and SQL

18.2 Data Transformation in Python and SQL

18.3 Data Visualization in Python and SQL

18.4 Statistical Analysis in Python and SQL

18.5 Integrating Python and SQL for Data Analysis

Chapter 19: Advanced Database Operations with SQLAlchemy

19.1 SQLAlchemy: SQL Toolkit and ORM

19.2 Connecting to Databases

19.3 Understanding SQLAlchemy ORM

19.4 CRUD Operations with SQLAlchemy ORM

19.5 Managing Relationships with SQLAlchemy ORM

Chapter 20 - Appendix A: Python Interview Questions

Python Interview Questions

Chapter 21 - Appendix B: SQL Interview Questions

Appendix B: SQL Interview Questions

Chapter 22 - Appendix C: Python Cheat Sheet

Chapter 23 - Appendix D: SQL Cheat Sheet

SQL Syntax

CRUD Operations

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Chapter 22 - Appendix C: Python Cheat Sheet

List Comprehensions

squares = [x**2 for x in range(10)]

List Comprehensions

squares = [x**2 for x in range(10)]

List Comprehensions

squares = [x**2 for x in range(10)]

List Comprehensions

squares = [x**2 for x in range(10)]

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