Python and SQL Bible : From Beginner to World Expert

Python and SQL Bible From Beginner to World Expert

Dive into comprehensive learning with Python and SQL Bible. This course covers everything from Python fundamentals to advanced SQL, empowering technical professionals with essential programming and data analysis skills. Key Features Comprehensive coverage of Python and SQL from basics to advanced te...

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Detalles Bibliográficos
Otros Autores: Cuantum Technologies, LLC, issuing body (issuing body)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Birmingham : Packt Publishing, Limited 2024.
Materias:
Python (Computer program language)
SQL (Computer program language)
Computer programming.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009835432906719
Tabla de Contenidos:
  • 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
  • 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
  • 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
  • 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
  • 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

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