Essential Guide to Python for All Levels (2024 Collection: Forging Ahead in Tech and Programming)

Are you eager to learn Python, but overwhelmed by the technical jargon and complex concepts? Look no further! The "

169 14 13MB

English Pages 314 Year 2023

Table of contents :
Introduction to Python
Setting up the Development Environment
Running Python Code
Variables and Operators
Input and Output
Control Flow (if-else, loops, etc.)
Functions
Modules and Packages
Error Handling and Exceptions
Introduction to Object-Oriented Programming (OOP)
Python Data Structures: Lists
Python Data Structures: Tuples
Python Data Structures: Sets
Python Data Structures: Dictionaries
Python Data Structures: Arrays
Python Data Structures: Stacks and Queues
Python Data Structures: Linked Lists
Python Data Structures: Trees
Python Data Structures: Graphs
Python Data Structures: Heaps
Python Data Structures: Hash Tables
Reading and Writing Text Files
CSV File Processing
JSON File Processing
Working with Binary Files
File and Directory Manipulation
Python Libraries and Frameworks: NumPy
Python Libraries and Frameworks: Pandas
Python Libraries and Frameworks: Matplotlib
Python Libraries and Frameworks: SciPy
Python Libraries and Frameworks: Scikit-learn
Python Libraries and Frameworks: TensorFlow
Python Libraries and Frameworks: Keras
Python Libraries and Frameworks: Flask
Python Libraries and Frameworks: Django
Python Libraries and Frameworks: SQLAlchemy
Relational Databases
SQLite
Connecting to Databases
Executing SQL Queries
Fetching and Manipulating Data
Database Transactions
Network programming in Python
Socket Programming
HTTP Requests and Responses
Working with APIs (REST, JSON, XML)
Web Scraping
Concurrency and Multithreading
Testing and Debugging: Unit Testing
Test Coverage
Debugging Techniques & Logging
Performance Optimization
Performance Tips and Tricks
Decorators
Generators
Context Managers, Metaprogramming, Regular Expressions, and F. C Extensions (Python/C API)
Best Practices and Design Patterns
Web Development
Data Science and Machine Learning in python
Deployment and Cloud Computing: Packaging and Distributing Python Applications
Virtual Environments
Containerization
Cloud Platforms
Serverless Computing
Continuous Integration and Deployment (CI/CD)

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