Assignments

Name: Airtable Automation: Turning Your Real Estate Business into a Well-Oiled Machine 🏠🔧

Type: Medium

Do you feel like you’re juggling a million tasks in your real estate business? 🤹‍♀️ Well, put down those flaming torches and pick up your keyboard, because Airtable Automation is here to save the day (and your sanity)!

Posted Date: 19-October-2024 | Tags: #Airtable, #EtlPipeline, #Etl, #RealEstate, #Automation

Name: Is Data Normalization Always Necessary Before Training Machine Learning Models? A Deep Dive into Use Cases

Type: Medium

machine learning (ML) continues to transform industries and revolutionize the way we approach data-driven decision-making, the need for accurate and reliable training data has never been more critical. In the realm of ML, normalization is a crucial preprocessing step that helps ensure the quality and reliability of our models’ performance. But how do you know when to normalize your data? What are some common use cases where normalization can make or break an ML model’s success? In this article.

Posted Date: 08-July-2024 | Tags: Data Normalization, Machine Learning, Pre-Processing, Data Science, Feature Engineering

Name: Rust Voyage: A Guide to Memory Management

Type: Personal

Rust is a powerful systems programming language that prioritizes safety, performance, and memory management. One of the key features that sets Rust apart is its ownership model. In this blog post, we’ll delve into the concept of ownership, how Rust manages memory, and explore the intricacies of borrowing and lifetimes.

Posted Date: 20-May-2024 | Tags: #RustProgramming #MemoryManagement #OwnershipModel #SystemsProgramming #SafeCode

Name: Rust Voyage: Daily Dispatches from the Learning Frontier - Handle errors in Rust

Type: Personal

Join me on my journey through the Rust programming language, where each day brings new insights and skills. From the foundational concepts to advanced features, we’ll explore how Rust’s unique approach to systems programming enables us to write fast, safe, and concurrent applications. Stay tuned for daily updates filled with code snippets, best practices, and lessons learned.

Posted Date: 19-May-2024 | Tags: #RustBasics #SystemsProgramming #SafeConcurrency #Struct

Name: Demystifying Makefiles: A Gentle Guide for Beyond Compilation 🤓🔧

Type: Personal

Ah, Makefiles. Those mystifying, text-based spellbooks that programmers use to conjure up software from the abyss of source code. If you've ever looked at a Makefile and felt like you were trying to read hieroglyphics, you're not alone. I built this guide because, like many, I found myself lost in the world of Makefiles, navigating through a sea of cryptic commands and mysterious symbols.

Posted Date: 25-April-2024 | Tags: Entertaining Guides, Compiler, Productivity

Name: Spark Memory Management Unveiled: “The Hidden Cheese in Your Data Fondue 🧀”

Type: Medium

Apache Spark, our beloved distributed computing system, is like a master chef in the world of data processing. It knows precisely how much of each ingredient to use to whip up the perfect dish. In Spark’s case, these ingredients are executor memory, driver memory, and overhead memory.

Posted Date: 22-September-2023 | Tags: Apache Spark, Pyspark, Memory Management, Spark Executor, Deployment

Name: MongoDB Alchemist: Chapter #03 — “Harnessing the Power of Data Analysis with TrinoDB and MongoDB”

Type: Medium

TrinoDB, formerly known as PrestoSQL, is an open-source distributed SQL query engine designed for high-performance data analytics. It allows you to query and analyze data from various sources, including relational databases, data lakes, and even NoSQL databases like MongoDB.

Posted Date: 19-September-2023 | Tags: Trinodb, Mongodb, NoSQL, Sql, Data Engineering

Name: MongoDB Alchemist: Chapter #02 — Unveiling the Installation Magic

Type: Medium

Welcome back to the second chapter of our MongoDB Alchemist series! In this instalment, we’ll dive into the exciting realm of MongoDB installation methods. 🌟

Posted Date: 16-September-2023 | Tags: Mongodb, Database, Dataops, Data Engineering, Docker

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