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Python lists | 4/100 Days of Python Algo trading
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Welcome to Day 4 of our 100-day Python algo trading challenge! In today's video, we're unraveling the power of Python lists, a versatile data structure that's essential for managing collections of information in your trading algorithms.
Here's a breakdown of what you'll learn:
00:00 Introduction: Get ready to explore the capabilities of Python lists!
00:01:42 Topics we cover in this Video: A quick overview of the essential concepts you'll master.
00:02:02 Python Lists: Discover what makes lists so useful for organizing data.
00:03:24 Array vs List (Theory): Understand the key differences between these two structures in Python.
00:09:28 Array vs List (Practical): See real-world examples to solidify your understanding.
00:12:27 Types of List: Explore different types of lists you can create in Python.
00:17:57 Create and access a list (Theory): Learn the syntax and techniques for building and accessing lists.
00:23:53 Create and access a list (Practical): Get hands-on experience with list creation and manipulation.
00:34:37 Editing items in a list: Discover how to modify existing elements within your lists.
00:37:07 Deleting items from a list: Learn techniques for removing unwanted items.
00:41:38 Operations on Lists: Explore operations like concatenation, repetition, and more.
00:43:51 List functions: Dive into built-in functions for sorting, reversing, counting, and more.
00:49:36 List Comprehension: Master this concise way to create and modify lists.
01:00:45 Disadvantages of Python Lists: Get a balanced perspective by understanding the limitations of lists.
By the end of this video, you'll be proficient in using lists to store, organize, and analyze financial data, laying a solid foundation for your algo trading journey. Let's get started!
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