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Related lectures (28)
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Data Science: Python for Engineers - Part II
Explores data wrangling, numerical data handling, and scientific visualization using Python for engineers.
Object-Oriented Programming Fundamentals
Covers the basics of object-oriented programming in Python, including objects, classes, inheritance, and input/output handling.
Programming Basics: Control Structures and Functions
Introduces fundamental programming concepts in Python, focusing on control structures like conditions and loops.
Programming Basics: Python Fundamentals
Covers the basics of programming with Python, emphasizing practical exercises and self-learning resources.
Data Science with Python: Numpy Basics
Introduces the basics of Numpy, a numerical computing library in Python, covering advantages, memory layout, operations, and linear algebra functions.
Programming with Parallelograms
Covers the implementation of a Parallelogram class in Python.
Threads in Python Programming
Covers Python basics, threading, shared data issues, and deadlock prevention.
Debugging and Computational Methods
Covers debugging techniques in Python and computational methods like frequency power calculation and bird sound detection.
