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Python syntax and semantics
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Related lectures (30)
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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.
Advanced Pandas Functions
Focuses on advanced pandas functions for data manipulation, exploration, and visualization with Python, emphasizing the importance of understanding and preparing data.
Python Programming: Lists and Functions Overview
Introduces Python programming concepts, focusing on lists, functions, and their applications in problem-solving.
Scientific Computing Essentials
Covers algorithmic thinking, Python programming, numerical methods, and essential computing concepts for scientific computing.
Introduction to C Programming
Covers the basics of C programming, including syntax, data types, pointers, arrays, and compilation commands.
Strings: Basics and Manipulation
Covers the basics of strings in Python, including creation, immutability, indexing, slicing, and manipulation.
Data Science: Python for Engineers - Part II
Explores data wrangling, numerical data handling, and scientific visualization using Python for engineers.
Threads in Python Programming
Covers Python basics, threading, shared data issues, and deadlock prevention.
Matlab Programming: Script and Function
Explores Matlab programming with scripts and functions, vectorization, and 2D graphics.
Introduction to Python: Basics and Anaconda Setup
Covers the basics of Python programming and setting up Anaconda and Jupyter Notebook.
