#16 Python Data Structures Made Easy | Data Science for Beginners in Tamil

AI Coach John (Tamil) · Beginner ·📐 ML Fundamentals ·1y ago

Key Takeaways

This video teaches Python data structures for data science beginners

Full Transcript

Welcome to episode 16 of this data science with machine learning course every Saturday to Friday but later Monday Friday. Same teaching concept but later because they wanted to come back and give some values to the community. So that guidance working data scientist. Bangalore just trying to reach out to them and asking them to come here share their journey. So from the very scratch So again, you need to subscribe to this teaching videos. You can give the like takeway points you can just put it in the comment section. Okay, so buckle up and be ready. Wonderful. Python built-in data structures already in the listed one-dimensional heterogeneous duplicate values indexing is possible. Slicing is also possible. Mutable possible 30 to 35 minutes found in the particular 20 minutes and again first time efficient way of learning again and again. First step I do you see. Second step I do you do. Third step you do. I see that is really great. Definitely help you out. There are four data structures in Python. List, sets, tpples and dictionaries. two sets learning techniques. So first empty story department open square bracket dat multiple values 87 89 But more than one more than one value data structures more than one value if I wanted to store I need to knock the door of data structures Python data structures assumption empty last set versus dictionary versus Right. values. Once assigned, it can be changed anytime in the future. for sett. So because application we are learning the fundamentals. So we are creating empty set and we are going to store it into empty cart. Empty card number two. for type of particular variable open. So values. Okay. values items to buy. to see in the bracket. Okay. Curly braces concepts. Okay. Syntaxes type of open and close. Second multiple values duplicate values. Okay. Set will allow only unique values. It didn't it won't allow duplicate values. first property. It's one-dimensional set is onedimensional. Second heterogeneous data numbers anyway it is heterogeneous genus heterogeneous data structure. Okay spelling correction it won't allow it won't allow duplicate values. It won't allow duplicate values. Okay. index number two index number set object is not subscriptable meaning okay index Slicing set object is not subscriptable means indexing and slicing is not possible. Negative indexing matter indexing and [Music] slicing application indexing and slicing is not possible. Okay. values in the particular position in the position list is already defined but now I'm just updating the values which is present inside the list mutable so values once assigned to a variable it can changed anytime in the future. Set elements can't be indexable in the items to buy document. Sorry. variable data structure set creating a function user defined function predefined function sorry in the set data structures already list set and data frame already defined predefined or built-in data structures in Python. Okay. function. So items setticular variable Add clear. Okay. Items to buy it. Python daty. So difference it is going to perform some kind of task. function function and close button add an element to a set. This is a built-in function add items to two. Okay, fine. This has no effect if the element is already present. Add an element to this set. Orange pomegranate. Banana. Okay. Execut V. items by two discard. So shift tap sorry in the open and close function open and close remove an element from the set if it is already present remove an element if the element is not a number do nothing remove function first. Okay. Okay. Open and close. Shift remove an element from a set if it is if it is a member. Okay difference of two or more sets as a new set Python data structures. Okay. Gigs for gigs list. Python data datcept order dictionary function. Python lists function. See append extend clear copy open and close function. Items to buy object to the end of the list. items to buy. Okay. Maybe banana red. Red banana. Okay. And go to the next cell. I want to create a new cell above the current cell. So I'm just clicking on A. Okay. Items to buy. functions in the gigs for gigs w3 schools programmers.com the upend functions clear copy delete Mostly for sets sets is mutable mutable. So number one set elements values mutable set function set is mutable properties. So Python data structure I would deserve a like second what is something that you're taking from this com I will definitely take it as a constructive feedback and I'll try to work on it and last two episodes right bottom corner com. So I feel I've changed this particular part because problem program. So please wait 6:30 p.m. only ask them to subscribe to this and keep following this particular channel. So yeah, this is your AO John. Let's make a simplified. See you all in the next episode. Bye. Cheers. [Music]

Original Description

Access the Materials from here: https://drive.google.com/drive/folders/1vrKg_dtk-RAWNyyacdhpAUr_DCC0oZkc?usp=sharing Want to become a Data Analyst, Data Scientist, or GenAI Engineer? Service Enquiry Form : https://www.proitbridge.com/contact-us-2/ ----------------------------------------------------------------------------------------------------------------------------------------------------------- 📲 Connect with Me: ✔ Instagram: https://www.instagram.com/john_the_ai_coach/ ✔ LinkedIn: https://www.linkedin.com/in/johngabrielcareerbuildingcoach?utm_source=share&utm_campaign=share_via&utm_content=profile&utm_medium=android_app ----------------------------------------------------------------------------------------------------------------------------------------------------------- Welcome to Episode 16 of our Data Science with Python & Machine Learning series in Tamil! In this video, we’re diving into one of the most important basics for every data science learner — Python’s built-in data structures. Whether you’re just starting out or brushing up your skills, this episode will make these concepts super simple and practical to use in real-world projects. 📚 What You'll Learn Today: ✅ Difference between Lists, Sets, Tuples, and Dictionaries ✅ How to use Sets in Python — what makes them unique and when to use them ✅ Learn about mutable and immutable properties of Python collections ✅ Real-time examples of adding, removing, and managing elements in Sets ✅ Why Sets don’t support indexing and how to work around that ✅ Common mistakes beginners make while working with data structures ⏳Timestamps for Quick Navigation: [00:00] – Starting Episode 16 with a quick intro and why this topic is super useful for data science learners. [02:37] – Full introduction to Python data structures. Explained about Lists, Sets, Tuples, and Dictionaries in a simple way. [05:23] – What is a Set in Python? Why it only allows unique values — explained clearly. [08:48] – Talking about one
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