The traditional employer-employee dynamic is quietly but meaningfully evolving. Power is shifting—tilting away from corporations and toward elite individual contributors. In a world increasingly shaped by innovation and intellectual leverage, top-tier talent is beginning to resemble Hollywood stars more than factory line workers. The Rise of the “Star” Engineer and Creator Much like how movie … Continue reading Future Working Relationship: From Employment to Partnership

A high-level architectural diagram to visualize the system /index-platform/ ├── 📁 docs/ │ ├── methodology_guides/ │ ├── api_documentation.md │ └── architecture.md │ ├── 📁 libs/ (Shared Libraries & Core Logic) │ ├── 📁 data-connectors/ (Code to talk to Bloomberg, Refinitiv, etc.) │ │ ├── bloomberg.py │ │ └── refinitiv.py │ ├── 📁 index-methodologies/ (The "Rules … Continue reading Architecture Diagram of Indexing Engine

API Rate Limiting Rate limiting ensures you don’t overwhelm an API. Use tools like time.sleep() to limit the frequency of API requests. __enter__ and __exit__ for Context Management Custom context managers can be created using __enter__ and __exit__. Use with to ensure proper setup and teardown. Timing Blocks for Performance Analysis Use time or timeit … Continue reading Advancing Python Knowledge_1

When I first started exploring the possibilities of AI, I thought acquiring new skills, especially in fields like programming, would be much quicker. The idea of using AI tools to speed up the learning process seemed like a game-changer. I imagined that understanding complex concepts and mastering new languages or techniques would take far less … Continue reading Triple Learning Speed in the AI Era

!\2. CREATIONAL DESIGN PATTERNS\ 0:07:22 1. Singleton 0:22:24 2. Factory method 0:32:20 3. Abstract factory 0:43:04 4. Builder 0:54:46 5. Prototype !\3. STRUCTURAL DESIGN PATTERNS 1:04:05 1. Adapter 1:15:23 2. Bridge 1:24:00 3. Composite 1:32:38 4. Decorator 1:43:14 5. Facade 1:52:49 6. Flyweight 2:06:00 7. Proxy !\4. BEHAVIOURAL DESIGN PATTERNS 2:16:40 1. Chain of responsibility … Continue reading Design Patterns Content Outline

First, what are the Key Differences Between Scripts and Applications Scripts: Linear execution flow Single responsibility Minimal error handling Direct database access Hardcoded values Limited user interaction Applications:  Logging and monitoring Modular architecture Multiple components working together Robust error handling Configuration management User interfaces (CLI, Web, API) Essential Concepts for Application Development a. Project Structure … Continue reading Transition from writing scripts to building complex applications

What is it, NSS is a Http service that takes a search criteria and generates results from it, returning it to the requester. The search input format: POST of http://<host>/news/search?params; POST data being the search meta data + search criteria Search meta information sample: {"databases":[ {"databases":["BW"], "start_date":"20090901", "end_date":"20090905"}, {"databases":["FRC"]} ], "returned_fields":["headline","story_date","story_time","product"], "search_timeout":28000, "max_docs":200, "sort_spec":"story_date ASC", … Continue reading NewsSearchServer Diving Deep

By asking the same question in Gemini and OpenAI, not only can I further the understanding of the topic but also assess the two AIs. Here is the question for both: "help me systematically learn elastic search, i have basic understanding already but want to have a comprehensive view and particularly know how the query/search … Continue reading Further Understanding ES (Second Iteration)

It is essential to approach tasks methodically; however, I often rush into completing research or serious work. I find myself wasting considerable time attempting to rectify mistakes, especially with the assistance of AI tools. This tendency leads to a more challenging outcome, as I become trapped in a vicious cycle repeatedly. Even when I manage … Continue reading Methodical in Research and Work

Whole life insurance promises a sense of security: lifelong coverage, cash value growth, even the potential for dividends. But while policies like the one issued by MassMutual appear straightforward on the surface, there are several subtle but critical pitfalls that often catch policyholders by surprise. These issues are not unique to MassMutual—they’re systemic concerns across … Continue reading What You Might Miss in Your Whole Life Insurance Policy—Until It’s Too Late