Advanced Pandas

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Brett Vanderblock and Madecraft

1:02:30

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01 Introduction

001 Take pandas to the next level.mp4

00:44

02 From Beginner to Advanced pandas

001 Getting started with pandas.mp4

01:16

002 Intro to DataFrames using pandas.mp4

02:31

003 Top functions using pandas.mp4

03:36

004 Configuring options using pandas.mp4

01:46

03 Advanced Calculations

001 Data type conversions using pandas.mp4

02:31

002 Working with strings using pandas.mp4

02:28

003 Working with dates using pandas.mp4

03:08

004 Dealing with missing data using pandas.mp4

04:09

005 Apply Map Applymap.mp4

03:32

04 Transforming Dataframes

001 Groupby and aggregations using pandas.mp4

03:28

002 Reshaping dataframes (pivot stack).mp4

05:53

003 Merging (merge join) and concatenating (concat) dataframes.mp4

05:13

004 Mapping variables into groups.mp4

03:29

05 Exploratory Data Analysis Visualization

001 Plotting with pandas.mp4

04:10

002 Correlations and statistical functions.mp4

04:23

06 Beyond pandas

001 Accelerate EDA with pandas-Profiling.mp4

03:50

002 Explore Geographic data with Geopandas.mp4

02:57

003 Beyond pandas with Dask and Koalas (Spark).mp4

02:38

07 Conclusion

001 Your path forward using advanced pandas functions.mp4

00:48

Description

If you've worked in Python, you're likely familiar with the basic of pandas. In this advanced course, instructor Brett Vanderblock shares how you can take advantage of the advanced functions of pandas—such as working with dates, dealing with missing data, merging DataFrames, and more—to work more effectively with your data. First, Brett introduces you to DataFrames, identifies the top functions in pandas, and shows you how to configure your pandas workspace efficiently. He walks you through converting data types, working with strings, and using the apply map and applymap functions effectively. He shows you how to combine Groupby and multiple aggregate functions in pandas and how to use the merge, join, and concat functions. Brett steps through plotting and statistical functions with pandas. He concludes by explaining how you can use pandas-profiling and Geopandas to get the most out of your functions and data.

This course was created by Madecraft. We are pleased to host this training in our library.

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Python

Pandas

Brett Vanderblock and Madecraft

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LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.