Programming Across Platforms: Leveraging Python and C# to Create Dynamic, Responsive, and High-Performance Applications
Language: English
Published by Independently published, 2025
- Softcover
- New
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
AbeBooks seller since March 25, 2015
Condition: New
£ 20.36
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In English.
Seller Inventory # ria9798313117072_new
- Title
- Programming Across Platforms: Leveraging Python and C# to Create Dynamic, Responsive, and High-Performance Applications
- Author
- CARTER, THOMPSON
- Publisher
- Independently published
- Publication year
- 2025
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 13
- 9798313117072
- Item weight
- 487 grams
Programming Across Platforms: Leveraging Python and C# to Create Dynamic, Responsive, and High-Performance Applications is your guide to building dynamic and responsive applications that run seamlessly across multiple platforms using Python and C#. This book will show you how to harness the strengths of both languages to create high-performance, scalable, and cross-platform software for web, mobile, desktop, and cloud environments.
You’ll learn to combine Python’s power for data manipulation, scripting, and automation with C#’s performance for enterprise-level software, UI design, and mobile app development. Whether you're developing web applications, enterprise systems, or mobile apps, this book equips you with the knowledge to create robust software that delivers great user experiences across all platforms.
What You’ll Learn:
- Cross-Platform Programming with Python and C#: Learn how to leverage Python’s flexibility and C#’s performance to develop applications that work seamlessly across Windows, macOS, Linux, and mobile platforms.
- Building Scalable Web Applications: Discover how to use Flask, Django (Python), and ASP.NET Core (C#) to build RESTful APIs and scalable, high-performance web apps that can handle large amounts of traffic.
- Mobile App Development with Xamarin: Master Xamarin to develop cross-platform mobile apps for iOS and Android using a single C# codebase, maximizing efficiency and performance.
- Cloud-Native Solutions: Learn how to create cloud-native applications using Python and C#, and deploy them to platforms like AWS, Azure, or Google Cloud to scale efficiently.
- Real-Time Communication: Implement WebSockets to build real-time applications that allow for live data updates, chat features, and interactive notifications.
- Data Integration: Understand how to integrate SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB) databases into your Python and C# applications to manage data effectively across platforms.
- Security Best Practices: Apply modern security protocols such as JWT, OAuth2, and data encryption to safeguard your applications and ensure safe user interactions.
- Optimizing Application Performance: Learn how to optimize performance through techniques like lazy loading, caching, multi-threading, and efficient memory management to ensure your apps are fast and responsive.
- Microservices and Scalability: Design microservices for creating modular, scalable applications that can handle growth and high traffic. Learn how to manage services using Docker and Kubernetes.
- CI/CD and DevOps: Learn how to automate your development pipeline with CI/CD tools like GitHub Actions, Jenkins, and Azure DevOps for continuous integration and deployment.
- Testing and Debugging Across Platforms: Understand how to test and debug your applications in Python and C# using tools like pytest, Jest, and Visual Studio, ensuring your code is robust and bug-free across platforms.
By the end of this book, you’ll have the tools and knowledge to create dynamic, high-performance applications that run across all platforms, leveraging the strengths of Python and C# to build responsive, scalable, and secure software solutions for the modern software engineering world.
"Synopsis" may belong to another edition of this title.
Ria Christie Collections
Uxbridge, United Kingdom
AbeBooks seller since March 25, 2015
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