- ISBN: 979-8660010767
- Published: June 29, 2020
- Pages: 420
- Publisher: TechPress Publications
Deep Learning with Javascript: Example-Based Approach
A comprehensive guide to modern development practices and cutting-edge technologies that will transform your approach to software engineering.
- Scenarios for scaling teams and systems in tandem
- Real-time data flow and event-driven design
- Real-world design trade-offs explained clearly
- Performance tuning techniques
- Guidance on choosing the right tech stack
Deep Learning with Javascript: Example-Based Approach is an essential resource for developers looking to master modern software development practices. Through clear explanations and practical examples, this book covers everything from fundamental concepts to advanced techniques.
Whether you're a beginner looking to build a solid foundation or an experienced developer seeking to update your skills, this book provides valuable insights that you can immediately apply to your projects.
- Introduction to Modern Development Practices
- Core Concepts and Fundamentals
- Advanced Techniques and Patterns
- Real-World Applications
- Best Practices and Optimization
- Future Trends and Technologies
- Appendix: Additional Resources
Author
With over 15 years of experience in software development and education, The author has worked with leading tech companies and universities to develop cutting-edge curriculum and training programs.
Community Reviews
The section on API design alone saved me hours of refactoring. Brilliantly structured.
Every chapter feels like a mentorship session with someone who’s been in the trenches.
As a senior developer, I found this book refreshing. It covers advanced topics without being overly academic.
I was skeptical at first, but this book exceeded my expectations. The real-world examples make all the difference.
This helped me rethink how I approach scalability and modularity in my projects.
I've been recommending this to all my colleagues. The insights on architecture patterns are invaluable.
I've been recommending this to all my colleagues. The insights on architecture patterns are invaluable.
Finally, a technical book that respects your time. No fluff, just solid engineering wisdom.
I was skeptical at first, but this book exceeded my expectations. The real-world examples make all the difference.
This helped me rethink how I approach scalability and modularity in my projects.
The section on API design alone saved me hours of refactoring. Brilliantly structured.
As a senior developer, I found this book refreshing. It covers advanced topics without being overly academic.
The section on API design alone saved me hours of refactoring. Brilliantly structured.
As a senior developer, I found this book refreshing. It covers advanced topics without being overly academic.
The author explains complex concepts in a way that's accessible to beginners but still valuable for experienced devs.
Finally, a technical book that respects your time. No fluff, just solid engineering wisdom.
The diagrams and flowcharts are top-notch—ideal for visual learners like me.
The diagrams and flowcharts are top-notch—ideal for visual learners like me.
I was skeptical at first, but this book exceeded my expectations. The real-world examples make all the difference.
This is now my go-to reference for best practices. The code samples alone are worth the price.
I’ve read dozens of dev books, and this one actually made me excited to refactor legacy code.
I’ve read dozens of dev books, and this one actually made me excited to refactor legacy code.
Clear, concise, and packed with actionable advice—this book is a must-read for any serious developer.
Every chapter feels like a mentorship session with someone who’s been in the trenches.
Finally, a technical book that respects your time. No fluff, just solid engineering wisdom.
As a senior developer, I found this book refreshing. It covers advanced topics without being overly academic.
I appreciated the balance between theory and implementation. It’s rare to find both done well.
I’ve read dozens of dev books, and this one actually made me excited to refactor legacy code.
It’s not just a book—it’s a toolbox. I keep coming back to it during code reviews and planning sessions.
I appreciated the balance between theory and implementation. It’s rare to find both done well.
Clear, concise, and packed with actionable advice—this book is a must-read for any serious developer.
I’ve read dozens of dev books, and this one actually made me excited to refactor legacy code.
The author explains complex concepts in a way that's accessible to beginners but still valuable for experienced devs.
This helped me rethink how I approach scalability and modularity in my projects.
I appreciated the balance between theory and implementation. It’s rare to find both done well.
I appreciated the balance between theory and implementation. It’s rare to find both done well.
Finally, a technical book that respects your time. No fluff, just solid engineering wisdom.
It’s not just a book—it’s a toolbox. I keep coming back to it during code reviews and planning sessions.
This is now my go-to reference for best practices. The code samples alone are worth the price.
Finally, a technical book that respects your time. No fluff, just solid engineering wisdom.
The writing style is engaging without sacrificing depth. I didn’t expect to enjoy it this much.
I appreciated the balance between theory and implementation. It’s rare to find both done well.
The writing style is engaging without sacrificing depth. I didn’t expect to enjoy it this much.
This is now my go-to reference for best practices. The code samples alone are worth the price.
I’ve read dozens of dev books, and this one actually made me excited to refactor legacy code.
I've been recommending this to all my colleagues. The insights on architecture patterns are invaluable.