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Lec 32: Procedural Programming Vs Object Oriented programming 🐍| Python for Beginners | #ai #ml #ds

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#Lecture by Prof. Dr. Mohammad Fahim Akhtar
Embark on your journey into programming languages such as Python, C, C++, Java, Machine Learning (ML), Data Science (DS), Artificial Intelligence (AI), and Software Engineering.
#Contact: +971 5420 2425 6 (UAE), +91 860 346 2019 (India).
Each lecture video comes with examples and program executions in Jupyter Notebook to make concepts easy to grasp. Additionally, we dive deep into essential programming concepts. Shorter videos ensure better engagement and understanding, so remember to practice frequently.
If you haven’t subscribed yet, please do so and leave your feedback to help improve education for all, especially students from economically weaker backgrounds. Let’s learn and grow together!
In this lecture, we will cover:
#Procedural Oriented Programming Technique Vs
#Object Oriented Programming Technique
#summary:
Method POPs Techniques OOPs Techniques
Structure Functions + Data (separate). Objects (data + methods combined).
Data Access Data is passed between functions. Data is encapsulated within objects.
Reusability Limited (functions reused, not data). High (inheritance, polymorphism).
Scalability Hard to manage for large projects. Easier to scale and maintain.
Use Case Simple scripts (e.g., calculators). Complex systems (e.g., GUIs, APIs, games).
#Explore the Complete Python Education Channel to gain in-depth knowledge of Python programming, from basics to advanced concepts. Make sure to #subscribe and leave #feedback for continual #improvement.
/ @intelligentinstituteeducation
#Email: Intelligent Institute of Education
#Facebook:
#Instagram:
/ intelligent_education_coaching
#If you're interested in Python books, there are many excellent options for various levels of expertise! Some examples include:
#"Python Crash Course" by Eric Matthes: Great for beginners who want hands-on projects.
#"Automate the Boring Stuff with Python" by Al Sweigart: Ideal for learning practical, everyday programming tasks.
#"Learning Python" by Mark Lutz: A comprehensive guide for deeper understanding.
#"Fluent Python" by Luciano Ramalho: Perfect for intermediate to advanced learners focusing on Python's best practices.
#You can visit the link.
Embark on your journey into programming languages such as Python, C, C++, Java, Machine Learning (ML), Data Science (DS), Artificial Intelligence (AI), and Software Engineering.
#Contact: +971 5420 2425 6 (UAE), +91 860 346 2019 (India).
Each lecture video comes with examples and program executions in Jupyter Notebook to make concepts easy to grasp. Additionally, we dive deep into essential programming concepts. Shorter videos ensure better engagement and understanding, so remember to practice frequently.
If you haven’t subscribed yet, please do so and leave your feedback to help improve education for all, especially students from economically weaker backgrounds. Let’s learn and grow together!
In this lecture, we will cover:
#Procedural Oriented Programming Technique Vs
#Object Oriented Programming Technique
#summary:
Method POPs Techniques OOPs Techniques
Structure Functions + Data (separate). Objects (data + methods combined).
Data Access Data is passed between functions. Data is encapsulated within objects.
Reusability Limited (functions reused, not data). High (inheritance, polymorphism).
Scalability Hard to manage for large projects. Easier to scale and maintain.
Use Case Simple scripts (e.g., calculators). Complex systems (e.g., GUIs, APIs, games).
#Explore the Complete Python Education Channel to gain in-depth knowledge of Python programming, from basics to advanced concepts. Make sure to #subscribe and leave #feedback for continual #improvement.
/ @intelligentinstituteeducation
#Email: Intelligent Institute of Education
#Facebook:
#Instagram:
/ intelligent_education_coaching
#If you're interested in Python books, there are many excellent options for various levels of expertise! Some examples include:
#"Python Crash Course" by Eric Matthes: Great for beginners who want hands-on projects.
#"Automate the Boring Stuff with Python" by Al Sweigart: Ideal for learning practical, everyday programming tasks.
#"Learning Python" by Mark Lutz: A comprehensive guide for deeper understanding.
#"Fluent Python" by Luciano Ramalho: Perfect for intermediate to advanced learners focusing on Python's best practices.
#You can visit the link.
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