Live stream Python Numpy 2 hours part 8

This video is part 8 of Python full beginning course tutorials. And focus of this video is on Indexing, Slicing, and Iterating, (Conditions and Boolean) of NumPy arrays in Python programming.

Section 10 The NumPy library
Introducing NumPy library
Creation of Array in NumPy
Basic operations of Numpy ndarray
Indexing, Slicing, and Iterating, (Conditions and Boolean) of NumPy arrays
Joining, Splitting and Shape Manipulation of NumPy arrays
Copies and Views, difference between NumPy arrays and Python lists
Broadcasting of NumPy arrays
Random Number Generation with Python and NumPy
Reading and Writing NumPy Array Data on Files



Section 11 Introducing The pandas library
Getting Started with Pandas in Python
Introduction of Pandas Data Structures: The Series
Pandas Series Operations
Introduction of Pandas Data Structures: The DataFrame
Basic manipulation of Pandas DataFrame
Working with Index of Pandas Data Structures
Operations and Functions of Pandas Data Structures
Statistics Functions of Pandas Data Structures
Sorting and Ranking of Pandas Data Structures
Handling "Not a Number" Data with Pandas Data Structures
Hierarchical Indexing and Leveling of Pandas Data Structures
Accessing Rows and Columns of DataFrame
Ways to filter Pandas DataFrame by column values



Section 12 Reading and Writing Data with Pandas library()
Reading Data in CSV or Text Files with Pandas
Using Regular Expressions to Parse TXT Files with Pandas
Writing Data to CSV Files with Pandas
Reading and Writing Data on Microsoft Excel Files with Pandas
Reading and Writing HTML Files with Pandas
Reading Data from XML with Pandas
Reading and Writing JSON Data with Pandas

Section 13 Pandas in Depth: Data Manipulation()
Merging Datasets with Pandas
Concatenating and Combining Datasets with Numpy and Pandas
Pivoting,Stacking,Unstacking,Long and Wide forms of Datasets with Pandas
Removing, Mapping Operations with Pandas
Rename Indexes of Axes with Pandas
Detecting and Filtering Outliers with Pandas
Discretization and Binning of Datasets with Pandas
Permutation,Random Sampling with Pandas
Data Aggregation,Grouping with Pandas
Reshape Wide long form pandas


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