Book Image

Python and SQL Bible

By : Cuantum Technologies LLC
Book Image

Python and SQL Bible

By: Cuantum Technologies LLC

Overview of this book

Embark on a transformative journey with this course designed to equip you with robust Python and SQL skills. Starting with an introduction to Python, you'll delve into fundamental building blocks, control flow, functions, and object-oriented programming. As you progress, you'll master data structures, file I/O, exception handling, and the Python Standard Library, ensuring a solid foundation in Python. The course then transitions to SQL, beginning with an introduction and covering basics, and proceeding to advanced querying techniques. You'll learn about database administration and how Python integrates seamlessly with SQL, enhancing your data manipulation capabilities. By combining Python with SQLAlchemy, you'll perform advanced database operations and execute complex data analysis tasks, preparing you for real-world challenges. By the end of this course, you will have developed the expertise to utilize Python and SQL for scientific computing, data analysis, and database management. This comprehensive learning path ensures you can tackle diverse projects, from basic scripting to sophisticated data operations, making you a valuable asset in the tech industry. You'll also gain hands-on experience with real-world datasets, enhancing your problem-solving skills and boosting your confidence.

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Table of Contents (29 chapters)
Free Chapter
1
Who we are
Who we are
Our Philosophy:
Our Expertise:
2
Introduction
Introduction
3
Chapter 1: Python: An Introduction
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 1 Conclusion
4
Chapter 2: Python Building Blocks
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
Chapter 2 Conclusion
5
Chapter 3: Controlling the Flow
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
Chapter 3 Conclusion
6
Chapter 4: Functions, Modules, and Packages
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
Chapter 4 Conclusion
7
Chapter 5: Deep Dive into Data Structures
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
5.6 Practical Exercises
Chapter 5 Conclusion
8
Chapter 6: Object-Oriented Programming in Python
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
6.6 Metaclasses in Python
6.7 Practical Exercises
Chapter 6 Conclusion
9
Chapter 7: File I/O and Resource Management
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
7.6 Memory Management in Python
7.7 Practical Exercises
Chapter 7 Conclusion
10
Chapter 8: Exceptional Python
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
Chapter 8 Conclusion
11
Chapter 9: Python Standard Library
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
Chapter 9 Conclusion
12
Chapter 10: Python for Scientific Computing and Data Analysis
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
10.6 Introduction to Scikit-Learn
10.7 Introduction to Statsmodels
10.8 Introduction to TensorFlow and PyTorch
10.9 Practical Exercises
Chapter 10: Conclusion
13
Chapter 11: Testing in Python
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
Chapter 11 Conclusion
14
Chapter 12: Introduction to SQL
Chapter 12: Introduction to SQL
12.1 Brief History of SQL
12.2 SQL Syntax
12.3 SQL Data Types
12.4 SQL Operations
12.5 SQL Queries
12.6 Practical Exercises
Chapter 12 Conclusion
15
Chapter 13: SQL Basics
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
13.6 Filtering and Sorting Query Results
13.7 NULL Values
13.8 Practical Exercises
Chapter 13 Conclusion
16
Chapter 14: Deep Dive into SQL Queries
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
Chapter 14 Conclusion
17
Chapter 15: Advanced SQL
Chapter 15: Advanced SQL
15.1 Subqueries
15.2 Stored Procedures
15.3 Triggers
15.4 Practical Exercises
Chapter 15 Conclusion
18
Chapter 16: SQL for Database Administration
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
Chapter 16 Conclusion
19
Chapter 17: Python Meets SQL
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
17.6 Handling SQL Errors and Exceptions in Python
17.7 Practical Exercises
Chapter 17 Conclusion
20
Chapter 18: Data Analysis with Python and SQL
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
18.6 Practical Exercises
Chapter 18 Conclusion
21
Chapter 19: Advanced Database Operations with SQLAlchemy
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
19.6 Querying with Joins in SQLAlchemy
19.7 Transactions in SQLAlchemy
19.8 Managing Relationships in SQLAlchemy
19.9 SQLAlchemy SQL Expression Language
19.10 Practical Exercise
Chapter 19 Conclusion
22
References
References
23
Conclusion
Conclusion
24
Where to continue?
Where to continue?
25
Know more about us
Know more about us
Appendix A: Python Interview Questions
Appendix A: Python Interview Questions
Appendix B: SQL Interview Questions
Appendix B: SQL Interview Questions
Appendix C: Python Cheat Sheet
Basic Python Syntax
Data Structures
List Comprehensions
Appendix D: SQL Cheat Sheet
SQL Syntax
CRUD Operations
Who we are

Welcome to this book created by Cuantum Technologies. We are a team of passionate developers who are committed to creating software that delivers creative experiences and solves real-world problems. Our focus is on building high-quality web applications that provide a seamless user experience and meet the needs of our clients.

At our company, we believe that programming is not just about writing code. It's about solving problems and creating solutions that make a difference in people's lives. We are constantly exploring new technologies and techniques to stay at the forefront of the industry, and we are excited to share our knowledge and experience with you through this book.

Our approach to software development is centered around collaboration and creativity. We work closely with our clients to understand their needs and create solutions that are tailored to their specific requirements. We believe that software should be intuitive, easy to use, and visually appealing, and we strive to create applications that meet these criteria.

This book aims to provide a practical and hands-on approach to starting with Python and SQL. Whether you are a beginner without programming experience or an experienced programmer looking to expand your skills, this book is designed to help you develop your skills and build a solid foundation in Python and SQL.

 

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