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Python and SQL Bible From Beginner to World Expert

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 wi...

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Bibliographic Details
Format: eBook
Language:English
Published: Birmingham Packt Publishing, Limited 2024
Subjects:
Sql (computer Program Language) / Http://id.loc.gov/authorities/subjects/sh86006628
Python (langage De Programmation)
Sql (langage De Programmation)
Computer Programming / Aat
Computer Programming / Http://id.loc.gov/authorities/subjects/sh85107310
Python (computer Program Language) / Http://id.loc.gov/authorities/subjects/sh96008834
Programmation (informatique)
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Table of Contents:
  • Intro
  • Who we are
  • Our Philosophy:
  • Our Expertise:
  • Introduction
  • Chapter 1: Python: An Introduction
  • 1.1 Brief History of Python
  • 1.2 Benefits of Python
  • 1.2.1 Readability and Simplicity
  • 1.2.2 High-Level Language
  • 1.2.3 Extensive Libraries
  • 1.2.4 Cross-Platform Compatibility
  • 1.2.5 Dynamically Typed
  • 1.2.6 Support for Multiple Programming Paradigms
  • 1.2.7 Strong Community and Widespread Adoption
  • 1.2.8 Integration with Other Languages
  • 1.2.9 Versatility
  • 1.3 Python Applications
  • 1.3.1 Web Development
  • 1.3.2 Data Analysis and Data Visualization
  • 3.1.1 Conditional Statements (if, elif, else)
  • 3.1.2 Loop Structures (for, while)
  • 3.2 Error and Exception Handling
  • 3.2.1 Handling Exceptions with try and except
  • 3.2.2 The else and finally Clauses
  • 3.2.3 Raising Exceptions
  • 3.2.4 The assert Statement
  • 3.3 Understanding Iterables and Iterators
  • 3.3.1 Iterators in Python
  • 3.3.2 The for loop and Iterators
  • 3.3.3 Iterators and Built-in Types
  • 3.3.4 Python's itertools Module
  • 3.3.5 Python Generators
  • 3.4 Practice Exercises
  • Exercise 1: Conditional Statements
  • Exercise 2: Loops
  • Exercise 3: Error and Exception Handling
  • 1.3.3 Machine Learning and Artificial Intelligence
  • 1.3.4 Game Development
  • 1.3.5 Automation and Scripting
  • 1.3.6 Cybersecurity
  • 1.3.7 Internet of Things (IoT)
  • 1.3.8 Robotics
  • 1.3.9 Bioinformatics and Computational Biology
  • 1.3.10 Education
  • 1.4 Setting up the Python Environment and Writing Your First Python Program
  • 1.4.1 Setting up Python Environment
  • 1.4.2 Your First Python Program
  • Chapter 1 Conclusion
  • Chapter 2: Python Building Blocks
  • 2.1 Python Syntax and Semantics
  • 2.1.1 Python Syntax
  • 2.1.2 Python Semantics
  • 2.2 Variables and Data Types
  • 2.2.1 Integers
  • Exercise 4: Iterables and Iterators
  • Chapter 3 Conclusion
  • Chapter 4: Functions, Modules, and Packages
  • 4.1 Function Definition and Call
  • 4.1.1 Function Definition
  • 4.1.2 Function Call
  • 4.1.3 Function Parameters
  • 4.1.4 Docstrings
  • 4.1.5 Local and Global Variables
  • 4.2 Scope of Variables
  • 4.2.1 Global Scope
  • 4.2.2 Local Scope
  • 4.2.3 Nonlocal Scope
  • 4.2.4 Built-In Scope
  • 4.2.5 Best Practices for Variable Scope
  • 4.3 Modules and Packages
  • 4.3.1 Modules in Python
  • 4.3.2 Packages in Python
  • 4.3.3 Python's import system
  • 4.4 Recursive Functions in Python
  • 2.2.2 Floating-Point Numbers
  • 2.2.3 Strings
  • 2.2.4 Booleans
  • 2.2.5 Lists
  • 2.2.6 Tuples
  • 2.2.7 Dictionaries
  • 2.2.8 Type Conversion
  • 2.2.9 Dynamic Typing
  • 2.2.10 Variable Scope
  • 2.3 Basic Operators
  • 2.3.1 Arithmetic Operators
  • 2.3.1 Comparison Operators
  • 2.3.2 Logical Operators
  • 2.3.3 Assignment Operators
  • 2.3.4 Bitwise Operators
  • 2.3.5 Membership Operators
  • 2.3.6 Identity Operators
  • 2.3.6 Operator Precedence
  • 2.4 Practice Exercises
  • Chapter 2 Conclusion
  • Chapter 3: Controlling the Flow
  • 3.1 Control Structures in Python

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