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Matplotlib in Python: A Beginner’s Guide to Data Visualization 33/100 Days

algo trading, algorithmic trading, Python, Quizzes

Matplotlib is a powerful Python library that is widely used for data visualization. Creating graphs and charts is essential for effectively analyzing data in algorithmic trading and crypto trading. In this guide, we will discuss the usage of Matplotlib and its various plots that are useful for quantitative traders. What is Matplotlib? Matplotlib is an […]

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Vectorized String Operations | 32/100 Days of Python Algo Trading

algo trading, algorithmic trading, Python, Quizzes

Hello friends, welcome to Day 32 of 100 Days of Hell with Python Algo Trading. In the last session, we learned about Multi-Indexing and understood it with many good examples. Hope you got everything clear. We also shared some Multiple Choice Questions, Task Questions and a Mini Project, which you must have seen. Today we

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Pivot Table & Melt in Pandas – Algorithmic Trading Python for Quantitative Traders 31/100 Days

algo trading, algorithmic trading, Python, Quizzes

Use of Melt, Pivot Table and String Operations in Python Pandas – Pandas is a very important library for data analysis in Python. In today’s blog, we will discuss three major concepts – Melt Function, Pivot Table, and Vectorized String Operations. These three functions are very useful in data science, machine learning and algorithmic trading.

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Multi-Indexing in Pandas: Why is it important for Algo Trading? 30/100 Days

algo trading, algorithmic trading, Python, Quizzes

Multi-Indexing is a very important and powerful feature in Python’s Pandas library, especially when you are doing Algorithmic Trading. Because whenever you fetch data from an API or external source, it mostly comes in Multi-Index form. Let’s understand this in simple language. Series vs DataFrame – Basic Understanding Series is a 1D data structure of

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Pandas GroupBy for Algorithmic Trading: Data Aggregation 27/100 Days

algo trading, Python, Quizzes

A Powerful Tool for Algo Trading Day – 27 | 100 Days of Hell with Python Algo Trading Series Time is valuable in Algo Trading. Keeping this in mind, in today’s blog, we will learn Pandas GroupBy Object, which not only makes data processing easier but also makes analysis on trading data faster and efficient.

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