Day 34 Fast: Python Lists and Tuples – Beginner’s Guide for AI Coding | #DailyAIWizard - video Dailymotion

DailyAIWizard

Wizards, join Anastasia, Isabella, Ethan, Sophia, and Olivia for Day 34 of the DailyAIWizard Python for AI series! 🚀 Learn how to use lists and tuples to organize data for AI projects, from dynamic feature sets to fixed model parameters. Sophia leads two demos with NumPy, Ethan explains every line, and Olivia adds tips. Perfect for beginners building on Day 33! 💻 Get ready for Day 35: Python Dictionaries and Sets. Subscribe, like, and share your ai_data.py output in the comments! Join our Discord or X for more tips! Code the Future, Wizards! 🔗 Links:  • Python: python.org  • VS Code: code.visualstudio.com  • Discord: discord.com/channels/1397945816349675600/1397945819260391521  • X: x.com/dailyaiwizard  • Instagram: www.instagram.com/dailyaiwizard  Hashtags: #Python #LearnPython #PythonForAI #AICoding #PythonTutorial #CodingForBeginners #PythonLists #PythonTuples #AIProgramming #TechTutorial #DailyAIWizard #CodeTheFuture Tags: Python, Learn Python, Python for AI, AI Coding, Python Tutorial, Coding for Beginners, Python Lists, Python Tuples, AI Programming, Tech Tutorial, Python 3, Coding Journey, VS Code, Beginner Programming, Data Science, DailyAIWizard, Code the Future

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00:00Wizards, lists are like magical spell books that hold multiple data items in Python, such as numbers, strings, or even other lists.

00:07You can add, remove, or change items, making lists perfect for dynamic AI data, like feature sets or sensor readings.

00:14Create a list with square brackets, like features, 0.5, 1.2, 2.8, and get ready to see them in action.

00:23Anastasia, how do lists help with AI projects? Are they used a lot?

00:26Great question, Olivia. Lists are everywhere in AI. Think of storing input data for a neural network or tracking model outputs.

00:34They're flexible so you can update them as your AI model evolves, which we'll show in our demos. Lists are AI spell books.

00:42Tuples are like enchanted boxes in Python, wizards, holding data that shouldn't change, like model parameters or fixed settings.

00:48You create them with parentheses, like params, charker, 0.01, 100.

00:54They're fast, secure, and perfect for AI tasks where data needs to stay constant.

00:59Exactly. In AI, tuples store things like a model's learning rate or number of epochs, ensuring they don't accidentally change.

01:06Unlike lists, tuples are immutable, meaning they're locked after creation.

01:11We'll see how they shine in our demos, wizards.

01:13Tuples lock your AI data.

01:14Wizards, lists, and tuples both store data, but they serve different AI purposes.

01:21Lists are mutable, so you can update data like a growing dataset for machine learning.

01:25Tuples are immutable, ideal for fixed settings like a model's configuration that must stay constant during training.

01:32Think of lists as your dynamic AI notebooks, where you can add or edit data, like sensor inputs.

01:37Tuples are like sealed AI blueprints, keeping critical parameters safe.

01:41Our demos will show you how to use both for AI projects, wizards.

01:46Wizards, creating a list is super easy.

01:49Use square brackets like data, jeart, 1, 2, 3, to store numbers, strings, or mixed data.

01:57In AI, you might use a list like features, jeart, 0.5, 1.2, 2.8 for model inputs, and you can modify it anytime.

02:06Great point, Olivia.

02:08Lists are flexible, so you can add or change items as your AI project grows.

02:11Save your list in a .pi file or try it in the Python shell.

02:15We'll show you how in the demos.

02:17Let's start organizing data, wizards.

02:19Lists are so simple.

02:20Wizards.

02:21Tuples are created with parentheses, like params.

02:260 and so true, 1, 100, model.

02:29They're perfect for AI settings that shouldn't change, like a model's learning rate or name.

02:34Once created, tuples stay locked, keeping your data safe and reliable.

02:38Tuples are lightweight and fast, which is great for AI performance.

02:41You can't modify them, but you can access their data, like params, 0, to get 0.01.

02:48We'll show you how tuples work in our demo, wizards.

02:52Tuples secure your data.

02:54Wizards.

02:55You can access list items using their index, starting at 0.

02:59For features equals, 0.5, 1.2, 2.8, features, 0, gives 0.5, and features, 1, gives 1.2.

03:08This is super useful in AI for grabbing specific data points, like model inputs.

03:15Ethan, what happens if I try an index that doesn't exist?

03:18Great question, Olivia.

03:20You'll get an indexer, so always check the list's length with LAN, features.

03:25We'll show indexing in our demo, wizards, so you can access data like pros.

03:29Grab list data easily.

03:32Wizards.

03:33Tuples use indexing just like lists.

03:35For params, sonder 0.01, 100, params ada gives 0.01.

03:41This is great for AI when you need to pull fixed parameters, like a learning rate, without changing the tuple.

03:47Exactly.

03:48Tuples are immutable, so you can only read data, not change it.

03:52Use params, 1, to get 100, or LAN, params, for the tuple's length.

03:57We'll demonstrate this in our AI demo, wizards.

04:01Wizards lists are mutable, so you can change them.

04:03Use features.

04:05Chart refers 1.5 to update the second item, or features.append 3.5, to add a new item.

04:12This flexibility is key in AI for updating data sets or model inputs dynamically.

04:18You can also use methods like features.remove 1.5 to delete items or features.pop to remove the last one.

04:25These operations make lists perfect for evolving AI data.

04:29We'll show append in our demo, wizards.

04:31Wizards, tuples can't be changed after creation, which is a superpower for AI.

04:37Immutable tuples ensure critical data, like model parameters, stays consistent during training.

04:43For example, params, darj, 0.01, 100, stays locked, keeping your AI reliable.

04:49Anastasia, why not just use lists for everything?

04:53Great question. Tuples are faster and safer for fixed data, like AI settings, while lists handle changing data.

05:00You'll see this difference in our demos, wizards.

05:02Wizards, lists come with powerful methods.

05:05Use append to add items, remove to delete specific values, or sort to order your list.

05:11For AI, methods like extend can combine data sets, making lists a go-to tool for data manipulation.

05:18These methods make lists super versatile for AI tasks, like sorting model predictions or adding new data points.

05:25Try features.sort to arrange numbers in order.

05:28We'll use append as in our demo to show its magic, wizards.

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Day 34 Fast: Python Lists and Tuples – Beginner’s Guide for AI Coding | #DailyAIWizard

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