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pandas
Getting started with pandas
Analysis: Bringing it all together and making decisions
Appending to DataFrame
Boolean indexing of dataframes
Categorical data
Computational Tools
Creating DataFrames
Cross sections of different axes with MultiIndex
Data Types
Dealing with categorical variables
Duplicated data
Getting information about DataFrames
Gotchas of pandas
Graphs and Visualizations
Grouping Data
Grouping Time Series Data
Holiday Calendars
Indexing and selecting data
IO for Google BigQuery
JSON
Making Pandas Play Nice With Native Python Datatypes
Map Values
Merge, join, and concatenate
Meta: Documentation Guidelines
Missing Data
MultiIndex
Pandas Datareader
Pandas IO tools (reading and saving data sets)
pd.DataFrame.apply
Read MySQL to DataFrame
Read SQL Server to Dataframe
Reading files into pandas DataFrame
Resampling
Reshaping and pivoting
Save pandas dataframe to a csv file
Series
Shifting and Lagging Data
Simple manipulation of DataFrames
String manipulation
Using .ix, .iloc, .loc, .at and .iat to access a DataFrame
Working with Time Series
pandas
Getting started with pandas
Analysis: Bringing it all together and making decisions
Appending to DataFrame
Boolean indexing of dataframes
Categorical data
Computational Tools
Creating DataFrames
Cross sections of different axes with MultiIndex
Data Types
Dealing with categorical variables
Duplicated data
Getting information about DataFrames
Gotchas of pandas
Graphs and Visualizations
Grouping Data
Grouping Time Series Data
Holiday Calendars
Indexing and selecting data
IO for Google BigQuery
JSON
Making Pandas Play Nice With Native Python Datatypes
Map Values
Merge, join, and concatenate
Meta: Documentation Guidelines
Missing Data
MultiIndex
Pandas Datareader
Pandas IO tools (reading and saving data sets)
pd.DataFrame.apply
Read MySQL to DataFrame
Read SQL Server to Dataframe
Reading files into pandas DataFrame
Resampling
Reshaping and pivoting
Save pandas dataframe to a csv file
Series
Shifting and Lagging Data
Simple manipulation of DataFrames
String manipulation
Using .ix, .iloc, .loc, .at and .iat to access a DataFrame
Working with Time Series
pandas - Awesome Course
Linkedin Learning
2021
Advanced Pandas
2020
Faster pandas
2017
pandas Essential Training
2016
pandas for Data Science
Udemy
2021
130+ Exercises - Python Programming - Data Science - Pandas
Complete Data Analysis with Pandas : Hands-on Pandas Python
Data Analysis with Pandas and Python
Data Manipulation in Python: A Pandas Crash Course
Modern Data Analysis Masterclass in Pandas and Python
Pandas Masterclass: Advanced Data Analysis with Pandas
The Complete Pandas Bootcamp 2021: Data Science with Python
The Ultimate Pandas Bootcamp: Advanced Python Data Analysis
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