Numpy and Pandas Tutorial | Numpy Tutorial | Pandas Tutorial | Python for Beginners | SimpliCode
In this video on NumPy and Pandas Tutorial, you'll learn how to perform data analysis with Python libraries. You'll look at the different functions available in NumPy and Pandas and how you can use them to clean, manipulate, arrange, sort, and analyze data.
Here we start with:
00:00:00 NumPy and Pandas Tutorial
00:00:36 What is Numpy?
00:05:16 Numpy vs Python List
00:07:43 Python List code
00:14:43 Speed
00:15:00 Basic Operations
00:19:28 Numpy Data Types
00:20:00 Numpy Components
00:20:24 Numpy Arrays
00:22:03 Numpy Concatenation
00:30:13 Numpy Notebook
00:32:03 Reshaping
00:34:41 Flattening
00:38:43 Roll
00:41:05 Numpy Arithmetic
00:44:39 Numpy Slicing
00:51:21 Joining Arrays
00:55:13 Splitting Arrays
✅What are NumPy and Pandas?
NumPy or Numerical Python is a Python library for numerical computation. It consists of multidimensional array objects and a collection of routines for processing those arrays. NumPy operations are divided into three main categories: Fourier Transform and Shape Manipulation, Mathematical and Logical Operations, and Linear Algebra and Random Number Generation.
Pandas is a data analysis and data manipulation library in Python. Pandas provide various data structures, operations, and functions for manipulating numerical and time series data.
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