Python lists | 4/100 Days of Python Algo trading

Python lists | 4/100 Days of Python Algo trading
100 Days Schedule Link
1drv.ms/w/s!AkJTmoKJV3m4gTGCT...
MCQs Link
gotraddy.com/python-lists-4-1...
Coding Task Link
github.com/thekuldeepsingh/10...
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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Tags
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[@KuldeepSinghAlgo]

2:40 Sorry, there is an underscore, not a hyphen.

[@rohanmishra3770]

It would be great if we can get the solutions for mini projects, as I'm beginner in python I'm just wondering where to start if I'm doing things right.

[@KuldeepSinghAlgo]

Sure
Will update on the solutions

[@rohanmishra3770]

I also have one question in my mind that sometimes we use ( ) these brackets sometimes we use[ ], it would be really helpful if you can share us the all kind of syntax logic reasons for it's use

[@KuldeepSinghAlgo]

For sure
We will create a special for the general doubts

[@Sandeep-tn8mz]

Bro, Honestly speaking there is a lot of python beginner level content on the internet. It would be really helpful if you directly go with Algorithemic trading

[@KuldeepSinghAlgo]

Great suggestion!
And I understand your thought process completely but as we have planned from very basic to advanced level and for that these topics are very important by the way now the basic part is about to finish 👏

[@Sandeep-tn8mz]

@@KuldeepSinghAlgo So, How many days will it take for Algo trading content?

[@prashantsingh3664]

19:10 1D heterogeneous list

[@kuldeepsinghrathore4416]

Thanks @prashant for highlighting this , we will mention comment here

[@prashantsingh3664]

Do list have .find attribute like strings?

[@KuldeepSinghAlgo]

No, lists in Python do not have a .find method like strings do. However, you can achieve similar functionality using other methods. For example, you can use a loop or a list comprehension to find elements, or the .index() method to find the first occurrence of an element

[@prashantsingh3664]

@@KuldeepSinghAlgoI think in one mcq it was shown that as a answer

[@KuldeepSinghAlgo]

If that so then we will run a validation check in MCQ meanwhile it would be really great if you could help with the erroneous MCQ

[@KunalPatva-fz2gt]

1:03:19 is it b=a.copy() ?

[@kuldeepsinghrathore4416]

Yes that is correct
Congratulations 🎉

[@KunalPatva-fz2gt]

@@kuldeepsinghrathore4416 Thank you sir ❤️