Python Pandas Live Streaming 6 hours part 238

Contents for session 238

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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#numpy
#pandas