Zhicheng's Blog
A Chronicles of a Self-taught Programmer: Learn to Debug Life
Welcome to my blog! This blog chronicles my personal exploration into the worlds of coding and life itself. Here, I share the things I encounter while learning to program. Think of it as me trying to debug life while getting better at debugging code. Fueled by my own insatiable curiosity (and LLM's endless patience), bolstered by my humble attitude of learning (with millions of searches on Google), I'm pretty confident this debugging process will be wrapped up by the end of this century. ✉️: zcmmwang@gmail.com
This post is the beginning of the implementation phase for Inomad’s infrastructure on Azure. As the usual like other posts in Inomad series, I will just highlight the key points I’ve encountered instead of making the series an instruction of ‘How to’. This post will cover the initial steps and considerations for deploying Inomad’s infrastructure on Azure.
This post will conduct the final section of the weighted score calculation for an individual stock, which is the Final Score. The actual final score in this case does not matter since all the data is searched and represented by ChatGPT, of which the accuracy is not guaranteed. I will provide the considerations and next steps instead to further guide the investment decision-making process.
This post will conduct the final section of the weighted score calculation for an individual stock, which is the Risks section. The key metrics, weights, and final scores are detailed below.
This post is the caculation of Valuation score for the weighted score calculation of an individual stock. This is a very straightforward calculation as it’s all data based similar to Financial Performance section. The key metrics, weights and final scores are in the content below.
In the this post, I will continue the calculation of the weighted scores for three Competitive Position, Industry Trends and Management/Governance. Following the same quantifying process of the previous post on Business Model and Diversification Analysis, here I will just list the key metrics, weights and final scores.
This post is a part of the series on Weighted Score Calculation for individual stock analysis. We will continue the calculation of th weighted scores for Business Model and Diversification Analysis.
Following last one in the series, to avoid having a way too long blog, I will break down the calculation of the weighted score for each section in this separated post. Let’s start with “Financial Performance Analysis”.
In this post, I’ll continue to explore the ChatGPT’s capability to introduce the concept of factor and weight in stock investment using the previous analysis report as an example.
Auditing, monitoring, and logging are critical components in the realm of cloud computing, ensuring operational integrity, security, and compliance. In this post, I will discuss the importance of auditing, monitoring, and logging in the cloud, and give it a detailed overview and study of these technologies.
In this post, I will explore the concepts of security, compliance, and governance in modern cloud infrastructure and their importance in ensuring the confidentiality, integrity, and availability of data and services. Security, compliance, and governance are critical aspects of cloud infrastructure that help organizations protect their assets, comply with regulations, and maintain operational efficiency.