Introduction

Hello everyone! I finished learning Numpy a few days ago and am learning Pandas from today. Here is what I learned today:

Background

Squeeze Every Drop of Efficiency with Iterators

Identifying patterns and relationships between different stocks can provide valuable insights for making informed investment decisions. One common approach is to uncover synergies between stocks…

As I see the increase of local Indonesian perfumery brands, which I love it so much. As a layman, with that so many choices, it just makes…

Data structures in programming can be seen as a way of storing and organizing data to ensure that the data stored therein can be efficiently utilized in a program, thereby improving the functionality…

In today’s world, we’re constantly surrounded by AI assistants. Siri, Alexa, Google Assistant — they’re all readily available, offering…

Volatility spikes in the financial markets can present both opportunities and risks for traders and investors. Understanding and effectively trading these spikes can lead to profitable results in a…

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I’m pleased to announce the second edition of “OpenAI GPT for Python Developers”. Building on the robust foundation set by the first…

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Automating Presentations using LLMs and Python-pptx

CatBoost is one of the best ML algorithms for tabular data. In this blog, we will try to understand the internal workings of CatBoost.

A Guide to Key Terms and Features

Introduction :

As an investor I use several brokerage platforms, with a particular emphasis on Interactive Brokers and Degiro. In a previous article, we…