Python libraries handle real business tasks like APIs, data analysis, and machine learning at scaleUsing ready-made libraries ...

Plotly announces major update to AI-native data analytics platform Plotly Studio, turning data into production-ready ...

Analyze employee performance and productivity using SQL and Python. Build HR dashboards to evaluate departmental KPIs, efficiency trends, and workload balance. Generates actionable insights through ...

SaaS Financial Analytics Dashboard built in SQL and Mode Analytics. Tracks ARR, NRR, GRR, CAC, LTV, ARPU, and Payback to show how retention and customer acquisition efficiency drive growth in a ...

The boundaries between traditional finance and decentralized technology are blurring faster than ever. Traders are no longer confined to a single ecosystem, they move fluidly between centralized ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

Shopify merchants usually track sales or revenue, but they sometimes forget about the other important metrics that drive profit. For example, contribution margin, MET, and customer retention are all ...

String manipulation is a core skill for every Python developer. Whether you’re working with CSV files, log entries, or text analytics, knowing how to split strings in Python makes your code cleaner ...

JSON Prompting is a technique for structuring instructions to AI models using the JavaScript Object Notation (JSON) format, making prompts clear, explicit, and machine-readable. Unlike traditional ...

Multiplication in Python may seem simple at first—just use the * operator—but it actually covers far more than just numbers. You can use * to multiply integers and floats, repeat strings and lists, or ...