- Видео 39
- Просмотров 20 047
Sheficial Intelligence Hub
Пакистан
Добавлен 29 апр 2020
Lec 10: Exploring Scope, Lifetime of Variables, and Return Statements in Python Functions
Discover essential concepts of Python functions in this lecture, focusing on variable scope, lifetime, and return statements. Gain practical experience through hands-on activities like writing a square function and building a real-world calculator program with addition, subtraction, multiplication, and division functionalities.
Просмотров: 37
Видео
Lec 9: Understanding Functions in Python
Просмотров 3914 дней назад
Lets explore Python's core concepts of functions in this lecture. Learn the basics of function definition and syntax, and explore how parameters and arguments work. By the end of this session, you'll be able to define and use functions effectively, making your Python code more efficient and modular.
Lec 8: Python Data Structures Sets and Dictionaries(Part B)
Просмотров 4214 дней назад
Explore Python's powerful data structures: sets and dictionaries. Learn how to efficiently store unique elements using sets and manage key-value pairs with dictionaries. This lecture covers essential operations, use cases, and practical applications to enhance your Python programming skills.
Lec 8: Python Data Structures Sets and Dictionaries (Part 1)
Просмотров 5014 дней назад
Explore Python's powerful data structures: sets and dictionaries. Learn how to efficiently store unique elements using sets and manage key-value pairs with dictionaries. This lecture covers essential operations, use cases, and practical applications to enhance your Python programming skills.
Lec 7: Python Data Structures: Lists and Tuples (Part 2)
Просмотров 2414 дней назад
Lec 7: Python Data Structures: Lists and Tuples (Part 2)
Lec 7: Python Data Structures: Lists and Tuples (Part 1)
Просмотров 8714 дней назад
Dive into the world of Python data structures with this lecture on lists and tuples. Learn the key differences, practical uses, and powerful operations you can perform with these fundamental structures. Whether you're managing dynamic or immutable collections, this session will equip you with essential skills for efficient data handling in Python
Lec 6: Python Loops: Nested Loops and Control Statements (Break & Continue)
Просмотров 8814 дней назад
Explore the power of loops in Python with this comprehensive lecture. Learn about nested loops for complex iterations and master loop control statements like break and continue to fine-tune your code. Perfect for beginners and intermediate programmers looking to enhance their Python skills.
Lec 5: Understanding While Loop: Practical Python Applications
Просмотров 8314 дней назад
Explore the concept of while loops in Python programming. Through engaging hands-on activities and real-world problem-solving, learn how to use while loops effectively to build dynamic and efficient programs. Perfect for beginners looking to master iterative logic.
Lec 4: Loops in Python: For Loops and Real-World Applications
Просмотров 14421 день назад
Explore the fundamentals of loops in Python with a focus on for loops. Learn through hands-on activities, such as creating multiplication tables and solving real-world problems like generating student seating arrangements. This session is designed to enhance your understanding of iterative programming and its practical applications.
Lec 3: Comparison, Logical Operators, and Conditional Statements in Python
Просмотров 10221 день назад
This lecture focuses on Python's comparison and logical operators, including and, or, and not, as well as essential conditional statements like if, else, and elif. Learn how to use these concepts in decision-making processes and problem-solving. Engage in hands-on activities, such as writing a program to check if a number is odd or even, and tackle real-world challenges like building a system t...
Lec 2: Mastering Input Functions and Operators in Python
Просмотров 17021 день назад
Dive into the fundamentals of Python in this engaging lecture. Learn about variables, strings, numbers, and data types, along with the input and output functions. Explore Python's arithmetic and membership operators through practical examples. Participate in hands-on activities like calculating the area of a rectangle and solving real-world problems, such as building a program to compute the av...
Lec 1: Introduction to Python: A Beginner's Guide to Coding with Hands-On Activities
Просмотров 53421 день назад
Welcome to the world of Python programming with this introductory lecture tailored for beginners! Learn what Python is, how to set up Google Colab, and master the basics of Python syntax, comments, and print statements. Engage in hands-on activities like writing a "Hello, World!" program and solving a real-world problem by creating a personalized welcome message for a school event. Explore vari...
Google Gemini: Exploring the Revolutionary Capabilities of AI within Colab
Просмотров 8228 дней назад
Discover how Google Gemini, a powerful AI tool developed by Google, revolutionizes your workflow on Google Colab. From generating code snippets to providing real-time assistance with data analysis, machine learning models, and debugging, Gemini takes your productivity to the next level. Learn how to leverage its advanced capabilities to streamline your projects and achieve more in less time. Wa...
Graphic Design Basics: A Beginner's Guide to Get Started
Просмотров 134Месяц назад
This beginner-friendly video covers the essential principles, tools, and tips you need to kickstart your graphic design journey. Learn about color theory, typography, layout design, and popular tools like Adobe Photoshop and Canva. Perfect for aspiring designers or anyone looking to explore the creative world of design. Don’t forget to like, comment, and subscribe for more design tutorials!
AI/ML Roadmap for Beginners
Просмотров 6382 месяца назад
Are you curious about learning Artificial Intelligence (AI) and Machine Learning (ML)? This beginner-friendly podcast lays out a clear roadmap for starting your AI/ML journey. From foundational skills like Python and math to advanced topics like deep learning and projects, our expert answers all your questions in an engaging conversation. Learn how to start small, build practical skills, and ac...
Machine Learning Essentials: From Linear Regression to Neural Networks | Companion Podcast
Просмотров 2342 месяца назад
Machine Learning Essentials: From Linear Regression to Neural Networks | Companion Podcast
Backpropagation Explained: From Theory to Hand Calculations and Python Code
Просмотров 2052 месяца назад
Backpropagation Explained: From Theory to Hand Calculations and Python Code
Creating a Chatbot with Streamlit and Google Gemini Model: A Step-by-Step Guide
Просмотров 4122 месяца назад
Creating a Chatbot with Streamlit and Google Gemini Model: A Step-by-Step Guide
Understanding Activation Functions: Binary Step, Linear, Non-Linear, ReLU, Sigmoid, and Tanh
Просмотров 5113 месяца назад
Understanding Activation Functions: Binary Step, Linear, Non-Linear, ReLU, Sigmoid, and Tanh
Multilayer Perceptron: Step-by-Step Calculation| MLP | Feedforward NN
Просмотров 3123 месяца назад
Multilayer Perceptron: Step-by-Step Calculation| MLP | Feedforward NN
Multiple Inputs ANN| ANN Calculation with ReLU Activation| Neural Network From Scratch In Python
Просмотров 1513 месяца назад
Multiple Inputs ANN| ANN Calculation with ReLU Activation| Neural Network From Scratch In Python
Artificial Neural Network with Four Neurons| 4 Neurons calculation
Просмотров 963 месяца назад
Artificial Neural Network with Four Neurons| 4 Neurons calculation
Single Neuron Neural Network| Single Neuron Explained| Single Neuron Trying to Connect
Просмотров 2513 месяца назад
Single Neuron Neural Network| Single Neuron Explained| Single Neuron Trying to Connect
Faculty049| Cs481| Kust20201| L21| Fuzzy Logic System
Просмотров 2773 года назад
Faculty049| Cs481| Kust20201| L21| Fuzzy Logic System
Faculty049| Cs481 | Kust20201| L19| Rule based system
Просмотров 993 года назад
Faculty049| Cs481 | Kust20201| L19| Rule based system
Faculty049 Cs481 Kust20201 L16 V Predicate Logic
Просмотров 713 года назад
Faculty049 Cs481 Kust20201 L16 V Predicate Logic
Artificial Inte;;igence | Views of AI | Lecture 04
Просмотров 2573 года назад
Artificial Inte;;igence | Views of AI | Lecture 04
Artificial Intelligence| Knowledge Representation| Frames| Lec 18
Просмотров 6 тыс.4 года назад
Artificial Intelligence| Knowledge Representation| Frames| Lec 18
¡Vaya, eso de entender el tiempo de vida de las variables en Python es todo un lío al inicio! 😅 ¿A alguien más le ha pasado? Bueno, en codigo heroe pude hacer ejercicios prácticos y sin gastar un peso, ¡es una pasada! 🙌🏻
good explanation.
Thank you Hussain for your amazing explanation.
Today's lecture is on the practice of function
Last lecture
i am just waiting for oops in python😊
🤐
Part B: ruclips.net/video/aoeu-bVwS8A/видео.html
If we have already list in python then why python introduce array module ??? And the Second thing is why python use everything differ from other languages ???
Arrays store element of same datatype whereas in list contains mixed data type.
Sometimes, we need to work with data structures that store data of the same type. For example, when studying data structures, understanding how computers store data in a linear form is important. This is where arrays come into play. We don't use lists in such cases because lists are dynamic and come with many built-in functions. While these features make lists flexible and powerful, they also abstract away the underlying details of data storage. This can make it harder to grasp the fundamental concepts of data structures and memory management. If someone asks why Python provides the array module when we already have lists, the reason is: Arrays are better for understanding low-level concepts like contiguous memory allocation and efficient data access, which are essential in learning how data structures work. So, arrays serve a specific purpose, especially when learning or working with data structures, while lists are more suitable for general-purpose programming
@@msharykhan53 I'm sorryI didn't quite understand your second question. Could you please clarify what you mean by 'different' in this context?
Masahallah
how does python handle memory management for list and tuples ? how python array module differ from lists or tuple when handlimg large collections of data?
As we know List is mutable so python dynamically adjusts their memory For exmaple We add some item in list so python allocates more memory etc Now come to the 2nd one Tuple is immutable so python allocates a fixed amount of memory when it's created
For your 2nd question the I would say Array is fixed And the list is dynamic thats it
@@Hussain-o6k thats great 👌 , TYSM and best of luck for your upcoming sessions.
@@hammad_ahmad01thanku sir Let me know if you have any doubts Keep watching ❤❤❤
Zabr10 ❤😊
Sir do while loop kiya karta hai
We dont have auch concept in python Han cpp main hai Yi aik tarah ka while loop ke tarah kaam krtha hai Han aik difference hai wo yi Do while 1 bar run hoga. Thats the main difference
Sir exception handling samja do
Yes Saad exception handling comment main nahi smjha sakhta inshallah Video banak upload kr dain gay
Mashallah well explained ❤❤❤
Our Trainer for today is Hussain. you are doing great Hussain. keep it up
In this programs in which scientist in discoverers in Python in Tell with me .but like it in this course.
Interested 🎉
Clearly articulated 👍
Very well done ✨️❤️
Colab file of the lec 6 colab.research.google.com/drive/10cYUQYxzd6t-1Mdp5pZ96exmZCdpaXzb?usp=sharing
Thank you Madiha for another amazing lecture.
Good
👍👍👍
COlab file of the Lect 5: colab.research.google.com/drive/1_VCv43PcKvPoJzxQ7TaY93bZ1_pgegQs?usp=sharing
mam app bahut accha explain kar rahi ho please keep it up for those students who didn''t understand english your explanation is nice and please teach it till the end
Well Explained
Colab file of the Lecture colab.research.google.com/drive/1zhwQ8Fu8FYdTLcqTQ2mmoNgoLC12OrcC?usp=sharing
Very well explanation
well understood
Does Python do any implicit type casting or type coercion in operations, similar to JS? e.g , in js comparing 2 == '2' results true but 2==='2' is false , due to type coercion...
colab.research.google.com/drive/1zhwQ8Fu8FYdTLcqTQ2mmoNgoLC12OrcC?usp=sharing
Real good lecture
We pleased that you like the lecture. keep learning
Very well done, Madiha
Colab file of the Lec 2 is available on the link here colab.research.google.com/drive/1U6gHp4g8AubMVlac3lAmna5x_MHduA-j?usp=sharing
Question from today Lecture : How do input/output functions differ when reading from or writing to files instead of the console?
good question @hammad_ahmad01 In Python, input/output functions differ when dealing with files versus the console because the medium of interaction changes. Console gets data from Keyboard/Screen whereas read/write to files uses Disk storage.
@@sheficialIHgot it 👍 . it means we conclude that console inpu/output uses the keyboard and screen while file input/output interact with the disk?
Best of Luck and waiting for upcoming sessions 👍 , I really enjoy learning in that way (by doing discussion). TYSM
@@sheficialIHRespected Instructor Madiha , sorry to say lken same question mai ny kal chatGPT mai diye tu mujhy exactly yahi answer mela yahan tak ky wording bhi same thi , chatGPT ya koi source use karni buri baat nhi lekn please ap instructor ky tu apny kbowledge sy answer karen , agr hmy chatGpt sy pharna hota tu ham yahan regestration kun karty .
@@unKnown9.0404 i dont mind that which sources they use . I believe no one on earth can claim to knnow everything , so our focus should be on learning no matter the source they uses.
i have a simple question from previous class : Python is dynamically typed or implicit typed language then how system get the type of data enter by user ? bec we dont mention the datatype with variable .
yes because Python is a dynamically typed language. This means that the type of a variable is determined automatically at runtime based on the value assigned to it. Python uses type inference to understand the type of a variable. When you assign a value to a variable, Python examines the value and automatically assigns the appropriate data type.
@@sheficialIHgot it , TYSM 😊
Great lecture deliver , can i ask some questions?
Yes plz. Our moderator will help you
A
A little doubt is happening to me
Yeah sure
Can we ask questions from anywhere
Yes you can ( python Team )
Good
Excellent explanation by Madiha! Clear and concise. Great Job
Good
Can we also write code of python in visual studio code
yes. you need to install Python extension in visual studio code.
@sheficialIH ok thanks
❤️👍
Dear All, the colab file for this session is avaialble on this link. Make a copy and run your code. colab.research.google.com/drive/1tBU-OrVrsFaF_4tlZhj1Vb4D7r-GxGid
Will Do
Appreciate the efforts ma'am
Thanks for liking
Good initiative 👍 , baqi next time question nhi pochengy sorry for that😊
They are after all students. Today's Trainer is a 3rd Semester student. We should encourage and give suggestions. Plz do watch all videos.
Thanks for appreciating the initiative 👍, but let’s ensure respect during discussions. Jokes during the lecture take away from its seriousness. Let’s contribute more constructively next time. 😊
@@abdullahasad-karistanian it mean you take my legal questions as a jokes , woow , so disappointing . 😭
@@sheficialIH yeah i know that about the trainer , and i will definatly watch all your lectures . But plz arramge the discussion session at the end .
A good startup from the Sheficial Crew.
Thank you Abdullah.