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Numpy Fundamentals | 20/100 Days of Python Algo Trading

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Welcome to Day 20 of our "100 Days of Python Algo Trading" series, where today we’re diving into the fundamentals of NumPy, one of the most powerful libraries in Python for numerical computing. This tutorial will provide you with a solid foundation in NumPy, essential for anyone looking to optimize their algorithmic trading strategies using Python.

What You'll Learn:

Coming Up Next (Starts at 00:00:00): A brief preview of what to expect in this comprehensive guide to NumPy.
Introduction (Starts at 00:00:44): An overview of NumPy’s role in Python and its importance in data analysis and algorithmic trading.
What is NumPy? (Starts at 00:01:31): A detailed explanation of NumPy and why it's a preferred tool for data scientists and traders.
NumPy Arrays vs Python Sequences (Starts at 00:04:24): Understand the advantages of NumPy arrays over traditional Python sequences for processing numerical data efficiently.
Use Cases of NumPy in Algo Trading (Starts at 00:06:04): Explore how NumPy can be used to model and solve quantitative problems in trading.
How to Create NumPy Arrays (Starts at 00:07:44): Learn the different methods to create and manipulate NumPy arrays effectively.
Array Attributes (Starts at 00:15:43): Dive into the essential attributes of NumPy arrays that help in analyzing data.
Changing Datatype (Starts at 00:19:23): A guide on how to alter the datatype of elements within NumPy arrays to optimize memory usage.
NumPy Array Operations (Starts at 00:20:05): Overview of basic operations that can be performed with NumPy arrays.
Examples of NumPy Array Operations (Starts at 00:32:44): Practical examples showcasing the application of NumPy operations in real-world trading scenarios.

This video is designed to make you proficient with NumPy, equipping you with the skills needed to implement complex mathematical computations with ease and precision in your trading algorithms.

Timestamps:

00:00:00 - Coming up next
00:00:44 - Introduction
00:01:31 - What is Numpy?
00:04:24 - NumPy Arrays vs Python Sequences
00:06:04 - Use Cases of NumPy in Algo Trading
00:07:44 - How to Create NumPy Arrays
00:15:43 - Array Attributes
00:19:23 - Changing Datatype
00:20:05 - NumPy Array Operations
00:32:44 - Examples of NumPy Array Operations

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