#15 Python Data Structures: Lists, Tuples, Sets & Dictionaries | Data Science for Beginners in Tamil

AI Coach John (Tamil) · Beginner ·📄 Research Papers Explained ·1y ago

Key Takeaways

Explains Python data structures, including lists, tuples, sets, and dictionaries

Full Transcript

story. But CEO of responsibil roles and responsibilities. First trainer still in the content. Third wish, the video editing. But entrepreneur this person is not just only speaking I'm not having the bandwidth. As a content creator factor, it will definitely act as a kind of motivation. But thank you so much. Thank you so much because people when they call this that's how I just wanted to be identified. Thank you so much. really great installation. So three people I just wanted to thank you because June. Thank you so much. It will definitely act as a motivation to keep coming and speaking to you at least. in the full playlist. So, thank you so much for your support. increase. I'm just trying to make some kind of long sessions. But at the end of the day, that is definitely going to act as a kind of catalyst or motivation for me to even push further. That is definitely going to act as a booster for me. foreign. So first session 20 minutes seven levels complexity step by step. So, Python loops, functional conditional statements, try exceptional handling, print formatting, previously Python data structures. So in the Python data structures data structures list dictionaries and sets DSA data structures Future Python data structure. data structure notebook already data science machine learning Jupyter notebookcess current directory not move to trash. Fine. New Python 3 already introduction. Python programming control shift. Go to previous. Control tab. Move to the next tab. Control shift. Control plus shift plus tab. Move to the previous tab. Previous next Python data structures. Python data structures. First, why do we need why Python data structures? Question to collect to collect data to collect multiple data multiple data in a format in a structure. Google Python data structures Explanation explain Google simple as fundamental constructions for organizing and managing data efficiently. They are categorized into built-in built-in data structures. Built-in data structure. Python built-in data structures. Builtin data structure data structures list to collect multiple data in a structure that is called as Python data structure. There are four data structures. to collect multiple data in a structure because mostly whatever experience four four data types Four data structures in Python for one list. Two sets. Three tpples. Four dictionaries. Dictionary. The dictionary. Key value. key value. Fine. Great. The four data structures first list 56 student marks 678 out of 100. Shift equal to student students mark students mark particular student different mathematience level student marks okay Student student it should perform some task. function. But still in the bracket concept open and close. Understand V. Again the right side we call it as value or information. Information Why Python built data to collect multiple data in a structure by default multiple values number 67 which means 67 number 67 78 data structures values or information that's when I knock the door of Python data structures to collect multiple data in a structure but right side if you're collecting more than If you're collecting more than one information, one values or one data, then that particular has to be stored in a particular data structure as a data structure. Okay. First empty list empty square bracket machine Okay. This is going to be called empty cart. Okay. Naming conversion pattern. Okay. empty variable name in the square type of this particular open and close function. Okay. But still this is called as square. Okay. Next. Okay. Items to buy. Items to buy. Items to buy. plus double quotes, orange, grapes. Okay. Pomegranate. Okay. So square items to buy multiple values in the particular data type. type open and close V you are clearly able to understand button data structure explanation I've got all this particular data inside list is official definition okay so multip long list. Okay. Apple is not defined. Okay. shift. So concept properties of [Music] list is list accepts duplicate values. Okay. List accepts duplicate values. for list versus set versus dictionary versus contain duplicate elements. Okay. Open square opens. Curly braces. I'm just going to this particular level. Okay. Empty set list dictionary. Slicing can be done. Seting cannot be done. Dictionary slicing not be done. Slicing can be done. in the particular screenshotial. Okay. Sorry. First number one by one set duplicate values can contain duplicate elements. in the empty list in the list. Can it hold integer also or float also? Of course. 6.75. Okay. 6.7. Okay. It is accepting list is a heterogeneous data structure homogeneous heterogeneous accepting first pointed one-dimensional So list is one dimension. List is heterogeneous. Heterogeneous data structure. Collection of multiple data types within that particular data structure. Duplicate values. Fore number value zero. The indexing concept number zero index number index number always starts from zero. Okay. So zero first portion, second portion, third position, fourth portion, fifth position, sixth portion, totally seven portions open function returns the number of items in a container. Container information different number always starts from zero item to buy item indexing in the indet square bracket I will be mentioning that particular index number index number zero index okay more than indexing 0 1 2 3 Great index number zero Startus 2us negative index square bracket write down in your notes. - 1 - 2 - 3 - 4 - 5. Okay. So, but indexing negative index. Okay. Positive indexing always starts from zero. Negative indexing always starts from minus one. Okay. Indexing possible indexing is possible items squarerack range of values always whenever you're going with range you need to use colon Okay. Always number indexing start before index after the index always in the index number before it starts from zero. Grapes index number 01. Last index number. Okay. values, orange, grapes index value, first position, second position. Okay. Starting number always starts from zero. The first three grapes 1 2 3 4 second portion Third question, fourth question. So grapes. Okay. Control V -1 -1 -2 - 3 -4 -4. So -4 uh - 5 - 6 - I think -4 - 6 is -4. Okay. Start position. Start posus - 2 - 3 -4 - 5 - 6. Start portion -. Okay. indexing negative indexing. Okay. Fine. Next. Okay. Fifth point. Sorry. Duplicate values. Indexing. Indexing is possible. Indexing and slicing is possible. Indexing. Okay. particular value. So in the question first question items to buy Ctrl V equal toal items to buy is one. So in the position equal to watermelon which means what in the water it first 0cess mutable. Once you get the values from the list, that values inside the list can be changed anytime in the future, can be updated anytime in the future. Mutable mutable values once assigned to a variable can be changed anytime into the future. So properties completely it's a beginner oriented session list is onedimensional heterogeneous data type that can be changed anytime in the future particular episode. There are three ways to learn a particular concept in a better way. First step I do, you see, second step I do, you do. efficient way of learning. Third step really thanks for Listen, I would deserve a like so that you can help your friend to grow in this particular a simplified make. So do not waste your time. This is your a code 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 15 of our Python Programming & Data Science for Beginners series in Tamil! In this episode, we dive deep into Python Data Structures, focusing on Lists, Sets, Tuples, and Dictionaries — the essential building blocks for data organization and manipulation in programming. Whether you’re a beginner, a student, or a content creator looking to enhance your technical skills, this session will give you practical, beginner-friendly explanations and coding tips. ⏳ Timestamps for Quick Navigation: [00:00] Gratitude for Audience Support & Future Plans [05:09] Why Python Data Structures Matter in Programming [09:16] Introduction to Python’s Four Core Data Structures [14:29] What is a List? Defining Lists in Python [19:25] Lists and Their Ability to Hold Duplicate & Diverse Data Types [24:00] Understanding Indexing: Positive vs Negative [27:46] Grape Indexing Example & Negative Indexing Explained [32:00] What Makes Lists Mutable in Python Programming 📌 Key Topics Covered: ✅ Roles and Responsibilities in Content Creation ✅ Python Data Structures Overview ✅ Understanding Lists, Indexing, and Data Types ✅ Mutable vs Immutable Structures (Lists vs Tuples) ✅ Effective Learning Stra
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