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آموزش تکنیک های پیشرفته کار با مجموعه های داده با Pandas 

دسته بندی ها: آموزش پانداس (Pandas) ، آموزش های Packtpub ، آموزش پایتون (Python)
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Advanced Techniques for Exploring Data Sets with Pandas [Video] Publisher:Packtpub Author:Harish Garg Duration:1 hour 45 minutes

Explore popular datasets in R, while mastering advanced techniques used for them
In this course, you will learn how to start using pandas from end-to-end: from getting your data into pandas; using pandas to manipulate, transform, analyze, and visualize data; to ultimately taking your transformed data out of pandas into any number of formats.
Released: Friday, July 28, 2017

Working with Different Kinds of Datasets
The Course Overview
Using Advanced Options While Reading Data from CSV Files
Reading Data from Excel Files
Reading Data from Some Other Popular Formats

Data Selection
Using Pandas Series Data Structure to Select a Subset of the Data
Selecting Multiple Rows and Columns from a Pandas DataFrame
Sorting a Pandas DataFrame or a Series
Filtering Rows of a Pandas DataFrame by Column Value
Applying Multiple Filter Criteria to a Pandas DataFrame
Using the "axis" Parameter in Pandas
Using String Methods in Pandas
Changing the Data Type of a Pandas Series

Manipulating, Transforming, and Reshaping Data
Modifying a Pandas DataFrame “inplace”
Using the "groupby" Method
Handling Missing Values in Pandas
Indexing in Pandas DataFrames
Renaming Columns in a Pandas DataFrame
Removing Columns from a Pandas DataFrame
Working with Dates and Times Data
Handling SettingWithCopyWarning
Applying a Function to a Pandas Series or DataFrame
Merging and Concatenating Multiple DataFrames into One

Visualizing Data Like a Pro
Controlling Plot Aesthetics
Choosing the Colors for the Plots
Plotting Categorical Data
Plotting with Data Aware Grids

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