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Will reply if u direct mention me on GitHub or Twitter/X.
John Shelburne
thecatfix
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Will reply if u direct mention me on GitHub or Twitter/X.
Former sales guy that had zero coding experience who accidentally bought the IP for a ml platform that identifies bond trade opportunities.
Detailed Breakdown of Understanding Keys in RDBMS Using Your Personal Contact Database
In a scenario, where you manage contacts across multiple platforms (iMessage, LinkedIn, email accounts, WhatsApp, GroupMe), implementing relational database keys is essential to organize, maintain, and retrieve your contact information effectively. Here’s how different types of keys can be applied using your contact database as an example:
How to Integrate GLEIF LEI Data with MySQL Using Zapier: A Comprehensive Guide
Integrating Global Legal Entity Identifier Foundation (GLEIF) data into a MySQL database can optimize your entity management system. LEIs (Legal Entity Identifiers) are essential for identifying legal entities in global transactions, ensuring transparency and compliance. With Zapier, you can automate the integration of LEI data from GLEIF into your MySQL database, reducing manual entry and improving accuracy.
Step 1: Understand the GLEIF Data Structure
1.1 Research the Data Format
GLEIF provides Legal Entity Identifier (LEI) data in JSON and XML formats. For integration with a MySQL database, JSON is preferred, as it allows easy parsing and transformation into SQL queries.
Why Am I creating Pairs For ALL possible pair combinations??????????
ALL POSSIBLE PAIR COMBINATIONS ARE CONSIDERED! THAT'S TOO MUCH DATA
My Question
I want to know how the bonds are identified for this process
cartesian_bonds_product.py cartesian_bonds_product.py:16-29 katana-master
In the cartesian_bonds_product.py file, bonds are distinguished by their ISIN (International Securities Identification Number), which serves as a unique identifier for each bond. This allows the code to differentiate between various bonds.
The to_bond_pairs method is responsible for creating pairs of BondWithPricingHistory objects. It iterates over a collection of bonds, comparing their ISINs to ensure that each pair is unique. The method ensures that a pair is generated only once by checking that the ISIN of the first bond (bond1) comes alphabetically before the ISIN of the second bond (bond2). This is accomplished using the condition:
Core Scientific - CoreWeave Partnership: Deal Overview and Strategic Analysis
The CoreWeave partnership represents a critical strategic evolution for Core Scientific, transitioning the company into high-performance computing (HPC) and AI hosting while diversifying its operations beyond Bitcoin mining. This $8.7 billion, 12-year agreement anchors Core Scientific as a key player in digital infrastructure, positioning it to meet the rising demand for AI and machine learning (ML) computing.
Partnership Highlights and Strategic Shift
Revenue Stability: The deal provides Core Scientific with long-term, predictable revenue, averaging around $725 million annually, with gross margins projected between 75% and 80%.
Capacity and Expansion Goals: Core Scientific will allocate 500 MW of its critical IT load to CoreWeave for HPC hosting and aims to expand to 1 GW of HPC capacity by 2027, positioning the company within the fast-growing AI infrastructure market.
Core Scientific secured a key expansion with CoreWeave, which exercised final options for 232 MW, filling Core’s 500 MW critical IT load commitment for high-performance computing (HPC).
The company completed a successful $460 million convertible note offering, significantly improving its capital structure, lowering interest rates, and paying off prior high-interest debt.
Core Scientific reallocated 100 MW of infrastructure initially designated for Bitcoin mining to HPC hosting, increasing total capacity for HPC to approximately 570 MW.
Site acquisitions are underway: Core leased a data center in Alabama with 11 MW of initial load and potential for an additional 55 MW, as well as a 100 MW expansion in Pecos, Texas for Bitcoin mining.
Comparable Companies to CoreWeave: HPC and AI-Focused Data Centers
CoreWeave's focus on high-performance computing (HPC) and AI hosting places it in a specialized segment of the cloud infrastructure market, where it competes with data centers that are increasingly prioritizing support for HPC and AI workloads. Providers like Digital Realty and Equinix offer infrastructure that is often optimized for AI, machine learning (ML), and other compute-intensive applications, providing relevant comparisons in terms of capabilities, services, and market positioning.
1. Digital Realty
Business Model: Digital Realty is one of the largest global providers of data center, colocation, and interconnection solutions, supporting various industries, including HPC and AI. The company’s PlatformDIGITAL® infrastructure is designed to facilitate enterprise AI and HPC workloads by providing high-density, low-latency connectivity to cloud and network ecosystems.
Operational capacity exceeding 500 megawatts (MW) is significant for the following:
Revenue Potential and Stability
High-Powered Hosting for AI and HPC: With a capacity of over 500 MW, Core Scientific can offer hosting services to high-demand sectors such as artificial intelligence (AI) and high-performance computing (HPC), beyond cryptocurrency mining. The CoreWeave deal alone utilizes 500 MW for AI and HPC workloads, underscoring the scale of power needed to attract large, stable revenue contracts.
Revenue Diversification: This capacity allows Core Scientific to host a variety of clients across industries (e.g., tech, finance, biotech), reducing its dependency on cryptocurrency mining. This diversification stabilizes revenue streams, especially when cryptocurrency markets are volatile.
Competitiveness in a Growing Market
Demand for Compute Power: The rapid growth of AI and m
Explain the following as if i were 70 years old. Paint a clear picture.
A Dockerfile enables a self-contained environment, making cloud deployment easy and consistent. The entire environment can be recreated just by pulling and running the image, with no manual setup needed. This approach provides a reliable and efficient way to deploy applications directly from your GitHub repo to the cloud.
Special Lasagna
Imagine you have a recipe book with a favorite recipe--let's say, your special lasagna. This recipe book is like a Dockerfile. It has all the instructions needed to make that exact lasagna every time, just the way you like it.
Now, let's say your friend wants to make that lasagna too. Instead of them calling you up to ask about every ingredient and every step, they can just use your recipe. That recipe makes it easy to get the same results each time, no matter who's making it. This recipe book can travel anywhere, and as long as someone follows it, they'll
Interesting to discover that another acronym that I glossed over actually ties back to my interest in the history of the internet and the keys of the internet
What is SSL/TLS. Why don't we talk about it more often
SSL (Secure Sockets Layer) and TLS (Transport Layer Security) are cryptographic protocols that secure communications over a network, such as the internet. They ensure that data sent between a user’s browser and a website (or between two systems) is encrypted, authenticated, and tamper-proof.