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Day 19 of learning python as a beginner. Topic: JSON file (exploring surface). JSON stands for JavaScript Object Notation however it is not limited to JavaScript only. JSON is used to store and share structured data which is both readable by human

AI agents that use 50 cents of compute to do $5000 of work will mean that the scale of economic opportunity from AI amounts to "lightning in a bottle. ~ Sam Altman

Hi Everyone! if is looking for project. Please DM me! Salary Depends on experience. What We're Looking For: • 5+ years of industry experience applying machine learning methods (user modeling, personalization, recommender systems, search, ranking, na

https://pub.dev/packages/flutterdb FlutterDB is a sqflite backed database with APIs like MongoDB for Flutter applications. It provides a simple and efficient way to store and retrieve JSON data using SQLite, making it easy to manage local data in yo

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Filing GST is confusing, especially for freelancers and small business owners in India. Most tools are complex or expensive — making tax filing stressful instead of simple. 🚀 Just built my MVP! A tool that helps Indian freelancers file GSTR-1 easi

How I can accumulate data? I'm running a Video Editing Agency and I've clients, I would like to use their social media profile to have some data what I can use for my own benefit. But I don't have any idea about data collection. Can anyone help me

Many argue that Data Engineering is a part of data science and analytics. It's different from data science, but they work together closely. Data Engineers come first in the process. They gather and organize data. This data is then used by Data Scien

Algorithmic trading, often referred to as algo trading, involves the use of computer programs to execute trades automatically based on pre-defined criteria such as time, price, and volume. This approach leverages the speed and computational power of

What is the difference between data scientist, data engineer, data analyst and business intelligence? 🧑🔬 Data Scientist Focus: Using data to build models, make predictions, and solve complex problems. Cleans and analyzes data Builds machine learn