Общая информация
Название 2021 NumPy and Pandas A-Z for Deep and Machine Learning
Тип Порно
Размер 3.18Гб
Файлы в торренте
Обратите внимание, что наш сайт не размещает какие-либо файлы из списка. Вы не можете скачать эти файлы или скачать torrent-файл.
[TGx]Downloaded from torrentgalaxy.to .txt 585б
0 47б
001 1 - Pandas Challenge & Solution - Import.en.srt 2.32Кб
001 1 - Pandas Challenge & Solution - Import.mp4 13.19Мб
001 Array Multiplication by a Single Number.en.srt 1.18Кб
001 Array Multiplication by a Single Number.mp4 4.45Мб
001 Array of Zeros.en.srt 3.67Кб
001 Array of Zeros.mp4 13.52Мб
001 Array Sorting.en.srt 883б
001 Array Sorting.mp4 3.67Мб
001 Array Stacking.en.srt 1.46Кб
001 Array Stacking.mp4 9.23Мб
001 Binomial Distribution.en.srt 2.88Кб
001 Binomial Distribution.mp4 8.40Мб
001 Creating a Unique Array.en.srt 1006б
001 Creating a Unique Array.mp4 3.80Мб
001 First Time Creating an Array.en.srt 1.62Кб
001 First Time Creating an Array.mp4 7.08Мб
001 Happiness Data Set.html 931б
001 How to append & Insert an Element Into An Array.en.srt 3.91Кб
001 How to append & Insert an Element Into An Array.mp4 12.26Мб
001 How to delete Array Element I.en.srt 2.95Кб
001 How to delete Array Element I.mp4 13.25Мб
001 How to find the attributes of an Array - (ndim, shape, sizd, dtype, itemsize).en.srt 7.16Кб
001 How to find the attributes of an Array - (ndim, shape, sizd, dtype, itemsize).mp4 30.59Мб
001 Installation, Connection & Import.en.srt 9.05Кб
001 Installation, Connection & Import.mp4 59.63Мб
001 Installing Jupiter Notebook.en.srt 625б
001 Installing Jupiter Notebook.mp4 1.96Мб
001 Introduction.en.srt 1.38Кб
001 Introduction.mp4 7.17Мб
001 Introduction to DataFrame in Pandas.en.srt 1.83Кб
001 Introduction to DataFrame in Pandas.mp4 8.75Мб
001 Load CSV in Pandas.en.srt 3.22Кб
001 Load CSV in Pandas.mp4 16.74Мб
001 Minimum, Maximum & Sum.en.srt 735б
001 Minimum, Maximum & Sum.mp4 3.08Мб
001 NumPy vs MatPlotLib vs Seaborn.en.srt 3.56Кб
001 NumPy vs MatPlotLib vs Seaborn.mp4 23.02Мб
001 Pandas - Difference between Loc and iloc.en.srt 4.76Кб
001 Pandas - Difference between Loc and iloc.mp4 30.55Мб
001 Pandas - Even Columns.en.srt 3.87Кб
001 Pandas - Even Columns.mp4 15.14Мб
001 Pandas - GroupBy Intro.en.srt 1.84Кб
001 Pandas - GroupBy Intro.mp4 8.62Мб
001 Pandas - iloc & loc.en.srt 6.11Кб
001 Pandas - iloc & loc.mp4 38.62Мб
001 Pandas - Importing Excel File.en.srt 1018б
001 Pandas - Importing Excel File.mp4 6.28Мб
001 Pandas Introduction.en.srt 1.53Кб
001 Pandas Introduction.mp4 6.58Мб
001 Pandas - Load JASON.en.srt 2.87Кб
001 Pandas - Load JASON.mp4 19.21Мб
001 Pandas - Minimum and Maximum.en.srt 661б
001 Pandas - Minimum and Maximum.mp4 3.74Мб
001 Pandas - nlargest.en.srt 2.40Кб
001 Pandas - nlargest.mp4 22.71Мб
001 Pandas - Reset Index.en.srt 2.17Кб
001 Pandas - Reset Index.mp4 19.11Мб
001 Pandas - Summary of Data Set.en.srt 1.69Кб
001 Pandas - Summary of Data Set.mp4 13.96Мб
001 Random Number (Integer).en.srt 3.76Кб
001 Random Number (Integer).mp4 14.06Мб
001 Selecting Elements of 2-D Array.en.srt 1.31Кб
001 Selecting Elements of 2-D Array.mp4 5.54Мб
001 Selecting Elements of 3-D Array.en.srt 3.00Кб
001 Selecting Elements of 3-D Array.mp4 18.10Мб
001 Splitting an Array.en.srt 4.43Кб
001 Splitting an Array.mp4 30.74Мб
001 Summary on Selecting Element From any Dimensional Array.en.srt 5.74Кб
001 Summary on Selecting Element From any Dimensional Array.mp4 30.78Мб
001 The Challenges.en.srt 1.58Кб
001 The Challenges.en.srt 584б
001 The Challenges.en.srt 584б
001 The Challenges.en.srt 580б
001 The Challenges.en.srt 545б
001 The Challenges.en.srt 471б
001 The Challenges.mp4 8.83Мб
001 The Challenges.mp4 4.73Мб
001 The Challenges.mp4 3.35Мб
001 The Challenges.mp4 3.34Мб
001 The Challenges.mp4 2.80Мб
001 The Challenges.mp4 1.94Мб
001 Understand how to Copy an Array.en.srt 3.44Кб
001 Understand how to Copy an Array.mp4 21.84Мб
001 Understanding Array Flatten and Ravel.en.srt 3.85Кб
001 Understanding Array Flatten and Ravel.mp4 26.36Мб
001 Understanding Array Operators.en.srt 3.07Кб
001 Understanding Array Operators.mp4 15.40Мб
001 Understanding Array Transpose.en.srt 1.17Кб
001 Understanding Array Transpose.mp4 6.39Мб
001 Understanding Cross Product.en.srt 1.58Кб
001 Understanding Cross Product.mp4 5.19Мб
001 Understanding Determinant.en.srt 2.94Кб
001 Understanding Determinant.mp4 12.24Мб
001 Understanding how indexing and Slicing work on 1-D Arrays.en.srt 16.97Кб
001 Understanding how indexing and Slicing work on 1-D Arrays.mp4 57.89Мб
001 Understanding How to Reverse an Array.en.srt 2.20Кб
001 Understanding How to Reverse an Array.mp4 8.96Мб
001 Understanding How to Search an Array.en.srt 1.60Кб
001 Understanding How to Search an Array.mp4 6.07Мб
001 Understanding Inner Product.en.srt 2.15Кб
001 Understanding Inner Product.mp4 8.09Мб
001 Understanding Inverse of Array.en.srt 3.79Кб
001 Understanding Inverse of Array.mp4 12.73Мб
001 Understanding Kronecker Product.en.srt 2.84Кб
001 Understanding Kronecker Product.mp4 11.59Мб
001 Understanding Newaxis.en.srt 6.55Кб
001 Understanding Newaxis.mp4 32.91Мб
001 Understanding NumPy Data Type.en.srt 9.02Кб
001 Understanding NumPy Data Type.mp4 47.95Мб
001 Understanding Outer Product.en.srt 2.13Кб
001 Understanding Outer Product.mp4 8.57Мб
001 Understanding Pandas Label.en.srt 1.71Кб
001 Understanding Pandas Label.mp4 6.19Мб
001 Understanding Pandas Series.en.srt 1.35Кб
001 Understanding Pandas Series.mp4 4.87Мб
001 Understanding Random Seed.en.srt 5.72Кб
001 Understanding Random Seed.mp4 27.65Мб
001 Understanding the Condition Number.en.srt 2.53Кб
001 Understanding the Condition Number.mp4 9.81Мб
001 Understanding Trace.en.srt 650б
001 Understanding Trace.mp4 2.17Мб
001 What is Data Distribution_.en.srt 1.58Кб
001 What is Data Distribution_.mp4 5.96Мб
001 What is Normal Distribution.en.srt 4.72Кб
001 What is Normal Distribution.mp4 18.85Мб
001 What is NumPy.en.srt 1.63Кб
001 What is NumPy.mp4 5.32Мб
001 With Less Than, Greater Than or Equal To.en.srt 625б
001 With Less Than, Greater Than or Equal To.mp4 2.79Мб
002 2 - Pandas Challenge & Solution - Data Set Inspection - Shape, DataType & Column.en.srt 1.92Кб
002 2 - Pandas Challenge & Solution - Data Set Inspection - Shape, DataType & Column.mp4 16.28Мб
002 Array Concatenation.en.srt 3.95Кб
002 Array Concatenation.mp4 20.08Мб
002 Arrays of Ones.en.srt 1.02Кб
002 Arrays of Ones.mp4 4.44Мб
002 Binomial Data Visualisation.en.srt 2.02Кб
002 Binomial Data Visualisation.mp4 10.36Мб
002 Challenge & Solution.en.srt 664б
002 Challenge & Solution.en.srt 714б
002 Challenge & Solution.en.srt 420б
002 Challenge & Solution.mp4 3.83Мб
002 Challenge & Solution.mp4 2.83Мб
002 Challenge & Solution.mp4 1.16Мб
002 Challenge & Solution - 2 by 2.en.srt 622б
002 Challenge & Solution - 2 by 2.mp4 3.29Мб
002 Challenge & Solution - I.en.srt 1.55Кб
002 Challenge & Solution - I.mp4 6.84Мб
002 Creating an Array from a Tuple.en.srt 1.09Кб
002 Creating an Array from a Tuple.mp4 4.15Мб
002 Creating Series From Dictionary.en.srt 1.75Кб
002 Creating Series From Dictionary.mp4 6.51Мб
002 Even and Odd Numbers.en.srt 1.38Кб
002 Even and Odd Numbers.mp4 3.98Мб
002 Forcing a Data Type of an Array.en.srt 5.32Кб
002 Forcing a Data Type of an Array.mp4 22.20Мб
002 How to append & Insert Elements Into An Array.en.srt 1.10Кб
002 How to append & Insert Elements Into An Array.mp4 5.99Мб
002 How to delete Array Element II.en.srt 2.50Кб
002 How to delete Array Element II.mp4 11.10Мб
002 Indexing a Unique Array.en.srt 1.31Кб
002 Indexing a Unique Array.mp4 4.95Мб
002 Installation, Connection & Import - Code.html 1.18Кб
002 Installation of MatPlotLib and Seaborn.en.srt 1.88Кб
002 Installation of MatPlotLib and Seaborn.mp4 11.20Мб
002 Installing of NumPy.en.srt 625б
002 Installing of NumPy.mp4 1.96Мб
002 Loc.en.srt 1022б
002 Loc.mp4 4.37Мб
002 Minimum, Maximum and Sum Along an Axis.en.srt 2.30Кб
002 Minimum, Maximum and Sum Along an Axis.mp4 13.15Мб
002 Normal Distribution Visualisation.en.srt 2.61Кб
002 Normal Distribution Visualisation.mp4 12.50Мб
002 Pandas - Checking for NaN.en.srt 5.00Кб
002 Pandas - Checking for NaN.mp4 37.94Мб
002 Pandas - Difference between Loc and iloc - more.en.srt 8.39Кб
002 Pandas - Difference between Loc and iloc - more.mp4 61.77Мб
002 Pandas - Even Columns - Code.html 952б
002 Pandas - GroupBy Intro - Code.html 951б
002 Pandas - iloc & loc - code.html 986б
002 Pandas - Importing Excel File - Code.html 1015б
002 Pandas Installation & Import.en.srt 873б
002 Pandas Installation & Import.mp4 3.60Мб
002 Pandas - Minimum and Maximum - Singapore.en.srt 1.34Кб
002 Pandas - Minimum and Maximum - Singapore.mp4 11.69Мб
002 Pandas - nlargest - Code.html 937б
002 Pandas - Reset Index - Code.html 1003б
002 Pandas - Summary of Data Set - Code.html 983б
002 Random Number (Float).en.srt 560б
002 Random Number (Float).mp4 2.24Мб
002 Random Seed With Choice().en.srt 3.36Кб
002 Random Seed With Choice().mp4 17.20Мб
002 Sales Data Set.html 920б
002 Slicing a 3-D Array.en.srt 3.22Кб
002 Slicing a 3-D Array.mp4 18.00Мб
002 Slicing In 2-D Array.en.srt 5.09Кб
002 Slicing In 2-D Array.mp4 28.04Мб
002 Splitting an Array on a Specific Column.en.srt 2.24Кб
002 Splitting an Array on a Specific Column.mp4 14.02Мб
002 The Challenges - text.html 1.56Кб
002 The Challenges - Text.html 1.78Кб
002 The Challenges - Text.html 1.78Кб
002 The Challenges - Text.html 1.20Кб
002 The Challenges - Text.html 1.78Кб
002 The Challenges - Text.html 1.24Кб
002 Understand how to Copy an Array II.en.srt 3.19Кб
002 Understand how to Copy an Array II.mp4 15.34Мб
002 Understanding dot().en.srt 2.85Кб
002 Understanding dot().mp4 10.18Мб
002 Understanding How to Reverse Along an Axis.en.srt 2.07Кб
002 Understanding How to Reverse Along an Axis.mp4 11.00Мб
002 What is Arrray.en.srt 2.52Кб
002 What is Arrray.mp4 7.07Мб
002 What is Random Distribution_.en.srt 7.56Кб
002 What is Random Distribution_.mp4 29.56Мб
003 3 - Challenge & Solution - Skip Rows Reading CSV File.en.srt 1.52Кб
003 3 - Challenge & Solution - Skip Rows Reading CSV File.mp4 15.53Мб
003 Challenge & Solution.en.srt 1.72Кб
003 Challenge & Solution.en.srt 1.31Кб
003 Challenge & Solution.mp4 7.03Мб
003 Challenge & Solution.mp4 4.27Мб
003 Challenge & Solution 1.en.srt 3.56Кб
003 Challenge & Solution 1.mp4 26.12Мб
003 Challenge & Solution - 3 by 3.en.srt 2.57Кб
003 Challenge & Solution - 3 by 3.mp4 9.24Мб
003 Challenge & Solution I.en.srt 1.00Кб
003 Challenge & Solution I.mp4 4.75Мб
003 Challenge & Solution - II.en.srt 4.11Кб
003 Challenge & Solution - II.mp4 16.47Мб
003 Creating a Zero Dimensional Array.en.srt 3.52Кб
003 Creating a Zero Dimensional Array.mp4 20.46Мб
003 Empty Arrays.en.srt 1.38Кб
003 Empty Arrays.mp4 2.88Мб
003 Importing Fewer Columns From SQL to Pandas.en.srt 3.13Кб
003 Importing Fewer Columns From SQL to Pandas.mp4 20.61Мб
003 Importing NumPy.en.srt 738б
003 Importing NumPy.mp4 1.72Мб
003 More on Slicing.en.srt 8.56Кб
003 More on Slicing.mp4 36.02Мб
003 Northwind Database.html 931б
003 Pandas - Checking for NaN - Code.html 1.05Кб
003 Pandas - Cleaning Excel Data Set While Importing.en.srt 7.68Кб
003 Pandas - Cleaning Excel Data Set While Importing.mp4 55.41Мб
003 Pandas DataFrame.en.srt 2.30Кб
003 Pandas DataFrame.mp4 10.68Мб
003 Pandas - Difference between head and tail.en.srt 1.48Кб
003 Pandas - Difference between head and tail.mp4 12.00Мб
003 Pandas - Even Columns Without Using Range.en.srt 5.47Кб
003 Pandas - Even Columns Without Using Range.mp4 30.33Мб
003 Pandas - Greater than 0.1.en.srt 598б
003 Pandas - Greater than 0.1.mp4 7.63Мб
003 Pandas - GroupBy Challenge & Solution.en.srt 2.69Кб
003 Pandas - GroupBy Challenge & Solution.mp4 23.13Мб
003 Pandas - Mean, Median & Mode.en.srt 638б
003 Pandas - Mean, Median & Mode.mp4 6.53Мб
003 Pandas - nsmallest.en.srt 1.45Кб
003 Pandas - nsmallest.mp4 14.22Мб
003 Pandas - Subset of Column.en.srt 1.58Кб
003 Pandas - Subset of Column.mp4 13.36Мб
003 Pandas - Without Using Tail or iLoc Get Last Row.en.srt 4.40Кб
003 Pandas - Without Using Tail or iLoc Get Last Row.mp4 25.27Мб
003 Random Arrays.en.srt 4.26Кб
003 Random Arrays.mp4 17.05Мб
003 Random Distribution 2-D and 3-D Array.en.srt 1.20Кб
003 Random Distribution 2-D and 3-D Array.mp4 5.44Мб
003 Solution to Challenge #1.en.srt 448б
003 Solution to Challenge #1.en.srt 439б
003 Solution to Challenge #1.en.srt 1.38Кб
003 Solution to Challenge #1.mp4 10.35Мб
003 Solution to Challenge #1.mp4 4.95Мб
003 Solution to Challenge #1.mp4 2.75Мб
003 Solution to Challenge 1a.en.srt 587б
003 Solution to Challenge 1a.en.srt 3.59Кб
003 Solution to Challenge 1a.en.srt 1.13Кб
003 Solution to Challenge 1a.mp4 17.17Мб
003 Solution to Challenge 1a.mp4 5.28Мб
003 Solution to Challenge 1a.mp4 3.76Мб
003 Two Conditions.en.srt 3.57Кб
003 Two Conditions.mp4 15.27Мб
003 Types of Array.en.srt 753б
003 Types of Array.mp4 3.18Мб
004 3 - Challenge & Solution - Skip Rows Reading CSV File - Code.html 1001б
004 Avoiding Errors of _Multiple Arguments_.en.srt 3.99Кб
004 Avoiding Errors of _Multiple Arguments_.mp4 13.56Мб
004 Challenge & Solution II.en.srt 1.02Кб
004 Challenge & Solution II.en.srt 532б
004 Challenge & Solution II.mp4 4.21Мб
004 Challenge & Solution II.mp4 3.34Мб
004 How to use arange().en.srt 3.53Кб
004 How to use arange().mp4 10.86Мб
004 Importing Fewer Columns From SQL to Pandas - Code.html 1011б
004 Pandas - Cleaning Excel Data Set While Importing - Code.html 1.97Кб
004 Pandas - Difference between head and tail - Code.html 1008б
004 Pandas - Even Columns Without Using Range - Code.html 947б
004 Pandas - Greater than 0.1 - Code.html 942б
004 Pandas - GroupBy Challenge & Solution - Code.html 1.08Кб
004 Pandas - Mean, Median & Mode - Mexico.en.srt 1.34Кб
004 Pandas - Mean, Median & Mode - Mexico.mp4 11.38Мб
004 Pandas - nsmallest - Code.html 942б
004 Pandas - Removing NaN.en.srt 2.95Кб
004 Pandas - Removing NaN.mp4 22.12Мб
004 Pandas - Subset of Column - Code.html 1.06Кб
004 Pandas - Without Using Tail or iLoc Get Last Row - Code.html 963б
004 Random Choice.en.srt 904б
004 Random Choice.mp4 5.08Мб
004 Solution to Challenge #2.en.srt 671б
004 Solution to Challenge #2.en.srt 116б
004 Solution to Challenge #2.en.srt 447б
004 Solution to Challenge #2.mp4 4.50Мб
004 Solution to Challenge #2.mp4 2.27Мб
004 Solution to Challenge #2.mp4 1.67Мб
004 Solution to Challenge 1b.en.srt 1.23Кб
004 Solution to Challenge 1b.en.srt 1.15Кб
004 Solution to Challenge 1b.en.srt 571б
004 Solution to Challenge 1b.mp4 7.10Мб
004 Solution to Challenge 1b.mp4 5.58Мб
004 Solution to Challenge 1b.mp4 3.21Мб
004 What is Dimension.en.srt 4.91Кб
004 What is Dimension.mp4 19.77Мб
005 4 - Challenge & Solution - Skip Rows Keep Headers.en.srt 3.26Кб
005 4 - Challenge & Solution - Skip Rows Keep Headers.mp4 27.30Мб
005 Challenge & Solution III.en.srt 1.02Кб
005 Challenge & Solution III.mp4 3.35Мб
005 Choice with 2-D and 3-D Array.en.srt 1.80Кб
005 Choice with 2-D and 3-D Array.mp4 9.28Мб
005 Creating a 1-D Array.en.srt 902б
005 Creating a 1-D Array.mp4 2.78Мб
005 Exploring - Row Before Column - Why_.en.srt 10.40Кб
005 Exploring - Row Before Column - Why_.mp4 36.61Мб
005 How to use linspace().en.srt 3.57Кб
005 How to use linspace().mp4 15.49Мб
005 Pandas - Removing NaN - Code.html 986б
005 Pandas - Saving an Excel File.en.srt 1.53Кб
005 Pandas - Saving an Excel File.mp4 9.14Мб
005 Pandas - Selecting with given Columns and Rows.en.srt 1.66Кб
005 Pandas - Selecting with given Columns and Rows.mp4 7.66Мб
005 Pandas - Sort_Values Ascending.en.srt 2.12Кб
005 Pandas - Sort_Values Ascending.mp4 19.44Мб
005 Pandas - Specific Row.en.srt 2.33Кб
005 Pandas - Specific Row.mp4 19.78Мб
005 Pandas - Sum.en.srt 1.07Кб
005 Pandas - Sum.mp4 4.93Мб
005 Pandas - Total number of Columns and Rows.en.srt 2.56Кб
005 Pandas - Total number of Columns and Rows.mp4 15.39Мб
005 Pandas - Using Head, Loc & iLoc to Achieve the Same Result.en.srt 755б
005 Pandas - Using Head, Loc & iLoc to Achieve the Same Result.mp4 7.92Мб
005 Pandas - Using Range.en.srt 3.31Кб
005 Pandas - Using Range.mp4 26.26Мб
005 Querying SQL Database from Pandas.en.srt 2.85Кб
005 Querying SQL Database from Pandas.mp4 15.94Мб
005 Solution to Challenge #3.en.srt 622б
005 Solution to Challenge #3.en.srt 1.08Кб
005 Solution to Challenge #3.en.srt 1.04Кб
005 Solution to Challenge #3.mp4 8.14Мб
005 Solution to Challenge #3.mp4 5.33Мб
005 Solution to Challenge #3.mp4 2.50Мб
005 Solution to Challenge 1c.en.srt 2.13Кб
005 Solution to Challenge 1c.en.srt 1.57Кб
005 Solution to Challenge 1c.en.srt 733б
005 Solution to Challenge 1c.mp4 11.18Мб
005 Solution to Challenge 1c.mp4 7.78Мб
005 Solution to Challenge 1c.mp4 3.77Мб
006 4 - Challenge & Solution - Skip Rows Keep Headers - Code.html 1018б
006 Challenge & Solution.en.srt 1.55Кб
006 Challenge & Solution.mp4 9.08Мб
006 Challenge & Solution III - Code.html 985б
006 Creating a 2-D Array.en.srt 1.23Кб
006 Creating a 2-D Array.mp4 4.50Мб
006 How to use reshape().en.srt 2.48Кб
006 How to use reshape().mp4 7.92Мб
006 Identifying an Array.en.srt 9.14Кб
006 Identifying an Array.mp4 31.08Мб
006 Pandas - Removing NaN II.en.srt 2.66Кб
006 Pandas - Removing NaN II.mp4 21.58Мб
006 Pandas - Saving an Excel File - Code.html 989б
006 Pandas - Selecting with given Columns and Rows - Code.html 968б
006 Pandas - Sort_Values Ascending - Code.html 962б
006 Pandas - Specific Row - Code.html 1005б
006 Pandas - Total number of Columns and Rows - Code.html 1.06Кб
006 Pandas - Using Head, Loc & iLoc to Achieve the Same Result - Code.html 1003б
006 Pandas - Using Range - Code.html 933б
006 Querying SQL Database from Pandas - Code.html 1.13Кб
006 Solution to Challenge #4.en.srt 2.33Кб
006 Solution to Challenge #4.en.srt 483б
006 Solution to Challenge #4.en.srt 800б
006 Solution to Challenge #4.mp4 10.49Мб
006 Solution to Challenge #4.mp4 5.94Мб
006 Solution to Challenge #4.mp4 3.86Мб
006 Solution to Challenge 1d.en.srt 2.04Кб
006 Solution to Challenge 1d.en.srt 1.10Кб
006 Solution to Challenge 1d.mp4 12.03Мб
006 Solution to Challenge 1d.mp4 6.03Мб
006 Solution to Challenge 2a.en.srt 1.23Кб
006 Solution to Challenge 2a.mp4 6.35Мб
007 5 - Challenge & Solution - Read CSV Without Header.en.srt 1.44Кб
007 5 - Challenge & Solution - Read CSV Without Header.mp4 10.58Мб
007 Challenge Yourself.html 1008б
007 Creating a 3-D Array.en.srt 3.35Кб
007 Creating a 3-D Array.mp4 15.65Мб
007 Creating Table in SQL from Pandas.en.srt 4.93Кб
007 Creating Table in SQL from Pandas.mp4 34.21Мб
007 Pandas _ Save Excel File Without Index.en.srt 1.21Кб
007 Pandas _ Save Excel File Without Index.mp4 7.21Мб
007 Pandas - Another Selection Trick.en.srt 3.08Кб
007 Pandas - Another Selection Trick.mp4 13.97Мб
007 Pandas - Column.en.srt 266б
007 Pandas - Column.mp4 1.32Мб
007 Pandas - Last Ten Rows.en.srt 1.00Кб
007 Pandas - Last Ten Rows.mp4 7.46Мб
007 Pandas - Replacing NaN with a value.en.srt 6.72Кб
007 Pandas - Replacing NaN with a value.mp4 50.55Мб
007 Pandas - Selecting Data with Loc & Slicing.en.srt 1.97Кб
007 Pandas - Selecting Data with Loc & Slicing.mp4 14.23Мб
007 Pandas - Sort_Values for Smallest.en.srt 2.11Кб
007 Pandas - Sort_Values for Smallest.mp4 19.94Мб
007 Pandas - Statistical Summary.en.srt 1.42Кб
007 Pandas - Statistical Summary.mp4 6.17Мб
007 Pandas - Using tail, loc and iloc for last row.en.srt 3.31Кб
007 Pandas - Using tail, loc and iloc for last row.mp4 17.55Мб
007 Scalar vs Vector vs Matrix vs Tensor.en.srt 9.03Кб
007 Scalar vs Vector vs Matrix vs Tensor.mp4 25.31Мб
007 Solution to Challenge #5.en.srt 2.05Кб
007 Solution to Challenge #5.en.srt 1.93Кб
007 Solution to Challenge #5.html 983б
007 Solution to Challenge #5.mp4 12.26Мб
007 Solution to Challenge #5.mp4 9.12Мб
007 Solution to Challenge 1e.en.srt 1.14Кб
007 Solution to Challenge 1e.en.srt 632б
007 Solution to Challenge 1e.mp4 8.01Мб
007 Solution to Challenge 1e.mp4 3.56Мб
007 Solution to Challenge 2b.en.srt 1.23Кб
007 Solution to Challenge 2b.mp4 6.36Мб
008 5 - Challenge & Solution - Read CSV Without Header - Code.html 1.07Кб
008 Creating Table in SQL from Pandas - Code.html 1.13Кб
008 Pandas _ Save Excel File Without Index - Code.html 985б
008 Pandas - Another Selection Trick - Code.html 1008б
008 Pandas - Column - Code.html 916б
008 Pandas - Count.en.srt 1.07Кб
008 Pandas - Count.mp4 7.15Мб
008 Pandas - Last Ten Rows - Code.html 1007б
008 Pandas - Replacing NaN with a value - Code.html 953б
008 Pandas - Selecting Data with Loc & Slicing - Code.html 1.01Кб
008 Pandas - Sort_Values for Smallest - Code.html 975б
008 Pandas - Using tail, loc and iloc for last row - Code.html 996б
008 Solution - Challenge Yourself.html 1020б
008 Solution to Challenge #6.en.srt 362б
008 Solution to Challenge #6.en.srt 791б
008 Solution to Challenge #6.mp4 7.85Мб
008 Solution to Challenge #6.mp4 2.36Мб
008 Solution to Challenge 1f.en.srt 1.03Кб
008 Solution to Challenge 1f.mp4 4.27Мб
008 Solution to Challenge 2a.en.srt 496б
008 Solution to Challenge 2a.mp4 2.46Мб
008 Solution to Challenge 2c.en.srt 819б
008 Solution to Challenge 2c.mp4 5.06Мб
009 6 - Challenge & Solution - Subset of Column.en.srt 3.02Кб
009 6 - Challenge & Solution - Subset of Column.mp4 21.99Мб
009 Pandas - Filtering Greater Than.en.srt 1.34Кб
009 Pandas - Filtering Greater Than.mp4 8.34Мб
009 Pandas - Many ways of Retrieving Column.en.srt 1.06Кб
009 Pandas - Many ways of Retrieving Column.mp4 5.67Мб
009 Pandas - Replacing NaN in one Column.en.srt 2.45Кб
009 Pandas - Replacing NaN in one Column.mp4 19.04Мб
009 Pandas - Selecting a range of values.en.srt 2.00Кб
009 Pandas - Selecting a range of values.mp4 18.39Мб
009 Pandas - Shifting an Excel Sheet.en.srt 1.94Кб
009 Pandas - Shifting an Excel Sheet.mp4 15.26Мб
009 read_sql() method - A two in one Method.en.srt 3.90Кб
009 read_sql() method - A two in one Method.mp4 22.51Мб
009 Solution to Challenge #7.en.srt 3.95Кб
009 Solution to Challenge #7.en.srt 1.31Кб
009 Solution to Challenge #7.mp4 23.98Мб
009 Solution to Challenge #7.mp4 8.57Мб
009 Solution to Challenge 1g.en.srt 1.85Кб
009 Solution to Challenge 1g.mp4 6.71Мб
009 Solution to Challenge 2b.en.srt 532б
009 Solution to Challenge 2b.mp4 2.98Мб
009 Solution to Challenge 2d.en.srt 690б
009 Solution to Challenge 2d.mp4 3.13Мб
010 6 - Challenge & Solution - Subset of Column - Code.html 1.06Кб
010 Pandas - Filtering Greater Than - Code.html 946б
010 Pandas - Many ways of Retrieving Column - Code.html 1002б
010 Pandas - Replacing NaN in one Column - Code.html 1.13Кб
010 Pandas - Selecting a range of values - Code.html 969б
010 Pandas - Shifting an Excel Sheet - Code.html 1003б
010 read_sql() method - A two in one Method - Code.html 1.40Кб
010 Solution to Challenge #8.en.srt 948б
010 Solution to Challenge #8.mp4 6.75Мб
010 Solution to Challenge 1h.en.srt 1.85Кб
010 Solution to Challenge 1h.mp4 7.79Мб
010 Solution to Challenge 2c.en.srt 3.62Кб
010 Solution to Challenge 2c.mp4 22.93Мб
010 Solution to Challenge 2e.en.srt 972б
010 Solution to Challenge 2e.mp4 4.25Мб
011 7 - Challenge & Solution - Few Rows.en.srt 808б
011 7 - Challenge & Solution - Few Rows.mp4 5.55Мб
011 Pandas - Filtering Greater Than with Fewer Rows.en.srt 1.31Кб
011 Pandas - Filtering Greater Than with Fewer Rows.mp4 12.00Мб
011 Pandas - Replacing NaN with mean, mode & median.en.srt 2.44Кб
011 Pandas - Replacing NaN with mean, mode & median.mp4 12.37Мб
011 Pandas - Return Random Rows.en.srt 2.35Кб
011 Pandas - Return Random Rows.mp4 22.01Мб
011 Pandas - Select Data related to Singapore.en.srt 1.49Кб
011 Pandas - Select Data related to Singapore.mp4 11.25Мб
011 Solution to Challenge #9.en.srt 805б
011 Solution to Challenge #9.mp4 7.07Мб
011 Solution to Challenge 1i.en.srt 629б
011 Solution to Challenge 1i.mp4 2.74Мб
011 Solution to Challenge 2d.en.srt 768б
011 Solution to Challenge 2d.mp4 4.63Мб
011 Solution to Challenge 2f.en.srt 870б
011 Solution to Challenge 2f.mp4 3.91Мб
012 7 - Challenge & Solution - Few Rows - Code.html 982б
012 Pandas - Data Cleaning - Sales.en.srt 6.47Кб
012 Pandas - Data Cleaning - Sales.mp4 46.18Мб
012 Pandas - Filtering Greater Than with Fewer Rows - Code.html 966б
012 Pandas - Return Random Rows - Code.html 961б
012 Pandas - Select Data related to Singapore - Code.html 971б
012 Solution to Challenge #10.en.srt 2.62Кб
012 Solution to Challenge #10.mp4 16.42Мб
012 Solution to Challenge #3.en.srt 1.46Кб
012 Solution to Challenge #3.mp4 7.47Мб
012 Solution to Challenge 1j.en.srt 1.64Кб
012 Solution to Challenge 1j.mp4 6.23Мб
012 Solution to Challenge 2e.en.srt 907б
012 Solution to Challenge 2e.mp4 4.70Мб
013 8 - Challenge & Solution - Few Rows, Few Columns.en.srt 960б
013 8 - Challenge & Solution - Few Rows, Few Columns.mp4 6.22Мб
013 Pandas - Data Cleaning - Sales -Code.html 1.20Кб
013 Pandas - Select years after 2019.en.srt 935б
013 Pandas - Select years after 2019.mp4 7.57Мб
013 Solution to Challenge #11.en.srt 2.55Кб
013 Solution to Challenge #11.mp4 20.45Мб
013 Solution to Challenge #4.en.srt 4.30Кб
013 Solution to Challenge #4.mp4 25.06Мб
013 Solution to Challenge 1k.en.srt 281б
013 Solution to Challenge 1k.mp4 2.34Мб
013 Solution to Challenge 2f.en.srt 1.42Кб
013 Solution to Challenge 2f.mp4 5.95Мб
014 8 - Challenge & Solution - Few Rows, Few Columns - Code.html 1010б
014 Pandas - Select years after 2019 - Code.html 977б
014 Solution to Challenge #12.en.srt 1.02Кб
014 Solution to Challenge #12.mp4 8.00Мб
014 Solution to Challenge 1l.en.srt 344б
014 Solution to Challenge 1l.mp4 3.15Мб
015 9 - Challenge & Solution - Time to Import.en.srt 775б
015 9 - Challenge & Solution - Time to Import.mp4 3.94Мб
015 Pandas - Generosity between two values.en.srt 1.35Кб
015 Pandas - Generosity between two values.mp4 10.67Мб
015 Solution to Challenge #13.en.srt 493б
015 Solution to Challenge #13.mp4 5.57Мб
015 Solution to Challenge 1m.en.srt 228б
015 Solution to Challenge 1m.mp4 1.27Мб
016 9 - Challenge & Solution - Time to Import- Code.html 991б
016 Pandas - Generosity between two values - Code.html 986б
016 Solution to Challenge #14.en.srt 1.35Кб
016 Solution to Challenge #14.mp4 8.98Мб
017 10 - Challenge & Solution - Changing Data Type.en.srt 2.27Кб
017 10 - Challenge & Solution - Changing Data Type.mp4 14.59Мб
017 Pandas - Life expectancy below 40.en.srt 716б
017 Pandas - Life expectancy below 40.mp4 5.92Мб
017 Solution to Challenge #15.en.srt 1.16Кб
017 Solution to Challenge #15.mp4 7.34Мб
018 10 - Challenge & Solution - Changing Data Type - Code.html 1.00Кб
018 Pandas - Life expectancy below 40 - Code.html 976б
018 Solution to Challenge #16.en.srt 1.86Кб
018 Solution to Challenge #16.mp4 12.90Мб
019 Pandas - Using columns to set condition.en.srt 814б
019 Pandas - Using columns to set condition.mp4 8.19Мб
019 Solution to Challenge #17.en.srt 975б
019 Solution to Challenge #17.mp4 5.27Мб
020 Pandas - Using columns to set condition - Code.html 1.01Кб
021 Pandas - Zimbabwe & Singapore.en.srt 1.53Кб
021 Pandas - Zimbabwe & Singapore.mp4 12.69Мб
022 Pandas - Zimbabwe & Singapore - Code.html 1000б
1 18б
10 1004.08Кб
100 634.34Кб
101 772.62Кб
102 814.46Кб
103 837.02Кб
104 917.78Кб
105 1.07Кб
106 138.45Кб
107 328.63Кб
108 334.59Кб
109 434.66Кб
11 806.06Кб
110 525.59Кб
111 658.50Кб
112 668.79Кб
113 836.72Кб
114 198.18Кб
115 735.49Кб
116 778.15Кб
117 784.58Кб
118 883.02Кб
119 901.69Кб
12 95.75Кб
120 946.66Кб
121 24.01Кб
122 36.94Кб
123 170.25Кб
124 254.98Кб
125 390.46Кб
126 440.15Кб
127 445.36Кб
128 618.29Кб
129 674.87Кб
13 937.28Кб
130 824.79Кб
131 880.65Кб
132 928.08Кб
133 1015.35Кб
134 1.13Кб
135 82.77Кб
136 84.07Кб
137 158.31Кб
138 210.27Кб
139 227.72Кб
14 221.72Кб
140 343.30Кб
141 378.05Кб
142 438.77Кб
143 546.75Кб
144 555.13Кб
145 676.65Кб
146 807.58Кб
147 853.28Кб
148 871.51Кб
149 921.92Кб
15 262.54Кб
150 941.35Кб
151 948.03Кб
152 950.01Кб
153 993.96Кб
154 165.98Кб
155 254.98Кб
156 301.87Кб
157 432.92Кб
158 478.31Кб
159 505.86Кб
16 424.88Кб
160 621.34Кб
161 653.64Кб
162 663.81Кб
163 736.21Кб
164 786.64Кб
165 795.73Кб
166 826.67Кб
167 847.00Кб
168 947.97Кб
169 994.15Кб
17 462.94Кб
170 10.51Кб
171 36.51Кб
172 48.55Кб
173 56.61Кб
174 77.99Кб
175 333.30Кб
176 429.26Кб
177 438.84Кб
178 463.67Кб
179 467.08Кб
18 684.34Кб
180 571.78Кб
180 world-happiness-report.csv 133.89Кб
181 690.76Кб
181 Sales_data.csv 12.44Кб
182 692.18Кб
182 Northwind_Data_Set.sql 615.34Кб
183 740.64Кб
184 746.04Кб
185 832.98Кб
186 938.30Кб
187 964.60Кб
188 47.71Кб
189 55.81Кб
19 451.55Кб
190 67.41Кб
191 133.57Кб
192 254.69Кб
193 273.31Кб
194 311.44Кб
195 382.02Кб
196 509.44Кб
197 509.90Кб
198 563.44Кб
199 568.84Кб
2
20 980.01Кб
200 647.80Кб
201 743.96Кб
202 749.84Кб
203 766.93Кб
204 805.32Кб
205 873.40Кб
206 20.47Кб
207 59.42Кб
208 91.94Кб
209 140.93Кб
21 361.63Кб
210 177.96Кб
211 201.93Кб
212 234.48Кб
213 244.65Кб
214 264.21Кб
215 334.45Кб
216 410.69Кб
217 447.74Кб
218 663.12Кб
219 670.27Кб
22 717.90Кб
220 671.86Кб
221 674.48Кб
222 722.72Кб
223 813.25Кб
224 844.26Кб
225 868.49Кб
226 888.92Кб
227 938.77Кб
228 21.38Кб
229 125.53Кб
23 659.59Кб
230 174.68Кб
231 209.22Кб
232 211.15Кб
233 224.21Кб
234 251.46Кб
235 266.36Кб
236 507.69Кб
237 549.89Кб
238 656.92Кб
239 675.85Кб
24 761.38Кб
240 752.21Кб
241 773.40Кб
242 847.08Кб
243 38.05Кб
244 39.82Кб
245 61.59Кб
246 288.17Кб
247 334.63Кб
248 695.08Кб
249 751.54Кб
25 905.33Кб
26 706.92Кб
27 749.18Кб
28 959.15Кб
29 17.51Кб
3 524.29Кб
30 891.58Кб
31 1005.23Кб
32 72.76Кб
33 299.37Кб
34 503.28Кб
35 820.72Кб
36 901.64Кб
37 1015.70Кб
38 9.90Кб
39 164.19Кб
4 462.10Кб
40 434.49Кб
41 402.60Кб
42 548.84Кб
43 561.07Кб
44 939.92Кб
45 61.01Кб
46 227.72Кб
47 237.23Кб
48 570.01Кб
49 806.62Кб
5 55.45Кб
50 907.64Кб
51 982.86Кб
52 154.66Кб
53 622.08Кб
54 925.61Кб
55 1019.66Кб
56 456.97Кб
57 819.07Кб
58 854.12Кб
59 974.57Кб
6 228.27Кб
60 261.15Кб
61 539.42Кб
62 589.25Кб
63 742.08Кб
64 59.23Кб
65 360.62Кб
66 479.96Кб
67 525.29Кб
68 610.60Кб
69 624.72Кб
7 386.50Кб
70 678.93Кб
71 744.75Кб
72 754.27Кб
73 885.32Кб
74 420.01Кб
75 792.28Кб
76 800.07Кб
77 959.40Кб
78 1005.13Кб
79 25.68Кб
8 63.07Кб
80 41.37Кб
81 450.85Кб
82 492.30Кб
83 654.77Кб
84 764.09Кб
85 829.70Кб
86 866.21Кб
87 99.78Кб
88 272.89Кб
89 314.22Кб
9 400.10Кб
90 511.97Кб
91 643.44Кб
92 756.83Кб
93 759.58Кб
94 773.61Кб
95 993.67Кб
96 2.84Кб
97 4.24Кб
98 313.07Кб
99 418.84Кб
TutsNode.com.txt 63б
Статистика распространения по странам
Россия (RU) 3
Нидерланды (NL) 1
Канада (CA) 1
Бразилия (BR) 1
Всего 6
Список IP Полный список IP-адресов, которые скачивают или раздают этот торрент