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Artículo: AMZ-B0FL84YWCC

Pandas: Pandas Programming, In 8 Hours, For Beginners, Learn Coding Fast: Pandas Language, Crash Course Textbook & Exercises

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About This Book "Pandas Programming" is a textbook for high school and college students; it covers all essential Pandas language knowledge. You can learn complete primary skills of Pandas programming fast and easily. The textbook includes a lot of practical examples for beginners and includes exercises for the college final exam, the engineer certification exam, and the job interview exam. "Pandas Programming" is a useful textbook for beginners. The straightforward definitions, the plain examples, the elaborate explanations and the neat layout feature this helpful and educative book. You will be impressed by its distinctive and tidy writing style. Reading this book is a great enjoyment! Note This book is only suitable for programming beginners, high school students and college students; it is not for the experienced programmers. Prerequisite to Learn Pandas Before learning the Pandas, you should have basic knowledge of Python programming. Table of Contents Hour 1 What is Pandas? What Panda Is Used For? Install Pandas Set Up Python Editor Import Pandas Import Pandas Alias Series Access Series Create a Label Key/Value Series Access Series by Key Hour 2 DataFrame Locate the Row (1) Locate the Row (2) Set Up Index Locate the Index Data File Read CSV File (1) Read CSV File (2) Create a JSON File Read JSON File Create a Python Dictionary Read Python Dictionary Hour 3 Embed Python Dictionary Print the First 5 Rows Specified Rows from Head Print the Last 5 Rows Specified Rows from Tail Information of DataFrame Null Values Occur Remove Null Values Fill in Value Specify Column to Fill Hour 4 Fill the Average Value Fill the Middle Value Fill the Most Hot Value Wrong Formats Occur Correct Wrong Format Incorrect Data Occur Remove Incorrect Data Modify Incorrect Data (1) Modify Incorrect Data (2) Duplicate Data Find Duplicate Data Remove Duplicate Data Hour 5 Data Correlation Get Data Correlation Data Correlation Chart: Series Random Number Check Series Empty Check Series Size Array Values of Series Transpose a DataFrame Check Data Type Array Values of DataFrame Size, Ndim, Shape Hour 6 The Sum of Each Column The Prod of Each Column The Maximum Values The Minimum Values Standard Deviation Count How Many Rows The DataFrame Description Case Conversion String Length Number of Characters Find the Index Other String Functions Hour 7 Row Name & Column Name Sort by Row Names Sort by Column Names Sort in Ascending Order Sort in Descending Order Sort Vales by Column Rename Rows & Columns Iterate Over DataFrame (1) Iterate Over DataFrame (2) Hour 8 Iterate Over DataFrame (3) Get Range of Regular Dates Get Range of Business Dates Get Range of Weekends Get Range of Month End Merge DataFrames The Key of Left DataFrame The Key of Right DataFrame Pandas Q & A Questions Answers Note: The paperback edition of this book is displaying in the lower section of this page, please click the book link for purchase.

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$27,18

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