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Fundamentals Of Integration Of Systems With Python 2024 Edition An Essential Guide For Students And Professionals Rodrigues

  • SKU: BELL-58549796
Fundamentals Of Integration Of Systems With Python 2024 Edition An Essential Guide For Students And Professionals Rodrigues
$ 31.00 $ 45.00 (-31%)

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Fundamentals Of Integration Of Systems With Python 2024 Edition An Essential Guide For Students And Professionals Rodrigues instant download after payment.

Publisher: Autopublished
File Extension: EPUB
File size: 1.08 MB
Pages: 126
Author: Rodrigues, Diego
ISBN: B0CWQ7MYWY
Language: English
Year: 2024

Product desciption

Fundamentals Of Integration Of Systems With Python 2024 Edition An Essential Guide For Students And Professionals Rodrigues by Rodrigues, Diego B0CWQ7MYWY instant download after payment.

Imagine your business systems, databases, and web services working in perfect harmony, communicating effortlessly, and maximizing operational efficiency. In "Fundamentals of System Integration with Python," Diego Rodrigues, a renowned expert with decades of experience and a series of bestsellers, guides you through advanced techniques to achieve this ideal integration.

This essential guide is not just a technical manual; it’s a transformative journey revealing how system integration can revolutionize your business operations using Python, one of the most versatile and powerful programming languages. From basic fundamentals to complex applications involving APIs, artificial intelligence, machine learning, and cloud services, each chapter is meticulously structured to provide deep and practical understanding.

Overview of Contents

Introduction: Importance of system integration, Python's role, evolution and trends. Fundamentals: Basic concepts, types of integration, challenges, and benefits. Python for Integration: Why Python, features, success stories. Communication: Protocols (HTTP/HTTPS, WebSockets, MQTT, AMQP), creating and consuming RESTful APIs with Flask and Django. Web and Cloud Services: Integrating SOAP/REST services, AWS, Google Cloud, Azure SDKs. Databases: SQLAlchemy, MongoDB, Redis, ensuring data consistency. Messaging and Queues: RabbitMQ, Kafka, Celery, asynchronous communication. Legacy Systems: Strategies, middleware, bridge, and gateway technologies. EAI: EAI/SOA principles, web services, microservices, Apache Camel, MuleSoft. Data Integration: ETL process, data warehousing, using Pandas. AI and ML: Incorporating AI/ML, TensorFlow, Scikit-learn, PyTorch. Security: Authentication, authorization, encryption, OAuth2, JWT, SSL/TLS. Case Studies and Projects: Real examples, implemented solutions, practical projects.

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