Recommended by: Srishti Gupta

Summary: Understanding tech is crucial for non-technical professionals, especially for product managers and leaders in tech companies. While learning tech can be challenging without a coding background, it is essential for effective communication, building empathy with development teams, and boosting confidence in decision-making. This book is designed to help non-technical professionals quickly grasp key tech concepts, bridging the gap that usually takes years to overcome, and empowering them to excel in their roles.

Contents:

Before We Start
1. The Problem With Tech Literature 02
2. To Learner Not to Learn Coding 05
3. What You Will Gain From the Book 07
4. How to Read This Book 09
Computers
5. Why Data is The New Oil 12
6. The Language of Computers 14
7. From Transistors to Computers 18
8. Performance of a Computer 23
9. Buying a laptop 31
10. Moore's Law 33
Software
1. Software is Eating the World 36
12. Programs and Software 38
13. Operating Systems 40
14. The Popularity of Microsoft Windows 44
15. Open Source Software 48
Internet
The Competitive Advantage of the Internet 52
17. How the Internet Reaches Your Home 55
18. WiFiand Small Range Networks 60
18. Moving Data Through the Internet 62
20. Protocols to Make the Internet Secure and Reliable 67
21. Data Encryption and VPNs 77
Websites
22. World Wide Web
22. World Wide Web
23. Dynamic Websites
24. Database
26. NoSQL databases
26. Programming Languages
27, Bringing it All Together
28. How Google.com Works
More Dev Concepts
29. APIs
30. Frame works and Libraries
&1, Data Structure
32. Algorithms
Mobile Apps
33. Mobile Apps.
34. Mobile Operating Systems
35. Building Mobile Websites
36. Building a Mobile App
37, Launching the App
DevOps
38. Stages of Code Development
39. Version Control System
40. Git and Github,
41. The Birth of DevOps
42, Testing and QA
43.CI/CD
44. Setting up an IT Infrastructure
45. Cloud Computing
46. Infrastructure as Code
47. Microservices
System Design
48. Why PMs Should Learn System Design
43, NFRs
50. Scalability Through Distributed Systems
51. Load Balancing Distributed System
52. Performance Through Partitioning
53. Performance: Caching
54, Availability and Robustness: Redundancy + Replication
55. Communication Protocols
56. CAP Theorem
57. Choosing a Database
Architecture Of Popular Apps
58. Approach for System design
59. Building a URL Shortener Like Bitly
60. Building a Social Media App Like Twitter
61. Building a Marketplace Like Airbnb
62. Building a Mobility App Like Uber
63. Building Messaging Service Like WhatsApp
How To Work With Tech
Epilogue