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Название Pandas & NumPy Python Programming Language Libraries A-Z™
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[TGx]Downloaded from torrentgalaxy.to .txt 585б
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1. Accessing and Making Files Available.mp4 32.25Мб
1. Adding Columns to Pandas Data Frames.mp4 31.05Мб
1. Concatenating Pandas Dataframes Concat Function.mp4 58.05Мб
1. Creating a Pandas Series with a List.mp4 36.24Мб
1. Creating NumPy Array with The Array() Function.mp4 27.34Мб
1. Creating Pandas DataFrame with List.mp4 21.15Мб
1. Element Selection Operations in Pandas DataFrames Lesson 1.mp4 27.46Мб
1. Examining the Data Set 3.mp4 35.61Мб
1. Indexing Numpy Arrays.mp4 24.66Мб
1. Installing Anaconda Distribution for Windows.mp4 122.59Мб
1. Introduction to NumPy Library.mp4 43.42Мб
1. Introduction to Pandas Library.mp4 32.34Мб
1. Loading a Dataset from the Seaborn Library.mp4 35.00Мб
1. Multi-Index and Index Hierarchy in Pandas DataFrames.mp4 39.53Мб
1. Operations with Comparison Operators.mp4 19.86Мб
1. Pandas & NumPy Python Programming Language Libraries A-Z™.html 266б
1. Reshaping a NumPy Array Reshape() Function.mp4 24.47Мб
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10. quiz.html 207б
10. Quiz.html 207б
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2. Arithmetic Operations in Numpy.mp4 67.03Мб
2. Creating a Pandas Series with a Dictionary.mp4 16.85Мб
2. Creating NumPy Array with Zeros() Function.mp4 22.74Мб
2. Creating Pandas DataFrame with NumPy Array.mp4 11.22Мб
2. Data Entry with Csv and Txt Files.mp4 59.35Мб
2. Element Selection in Multi-Indexed DataFrames.mp4 22.34Мб
2. Element Selection Operations in Pandas DataFrames Lesson 2.mp4 29.37Мб
2. Examining the Data Set 1.mp4 39.19Мб
2. Identifying the Largest Element of a Numpy Array.mp4 14.34Мб
2. Merge Pandas Dataframes Merge() Function Lesson 1.mp4 51.32Мб
2. Notebook Project Files Link regarding NumPy Python Programming Language Library.html 155б
2. Pandas Project Files Link.html 180б
2. Pivot Tables in Pandas Library.mp4 49.96Мб
2. Removing Rows and Columns from Pandas Data frames.mp4 14.40Мб
2. Slicing One-Dimensional Numpy Arrays.mp4 20.79Мб
2. The Power of NumPy.mp4 55.66Мб
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3. Aggregation Functions in Pandas DataFrames.mp4 83.67Мб
3. Creating NumPy Array with Ones() Function.mp4 14.90Мб
3. Creating Pandas DataFrame with Dictionary.mp4 14.74Мб
3. Creating Pandas Series with NumPy Array.mp4 11.02Мб
3. Data Entry with Excel Files.mp4 19.84Мб
3. Detecting Least Element of Numpy Array Min(), Ar.mp4 9.54Мб
3. Installing Anaconda Distribution for MacOs.mp4 57.92Мб
3. Merge Pandas Dataframes Merge() Function Lesson 2.mp4 27.43Мб
3. Null Values in Pandas Dataframes.mp4 62.35Мб
3. quiz.html 207б
3. Quiz.html 207б
3. Quiz.html 207б
3. Selecting Elements Using the xs() Function in Multi-Indexed DataFrames.mp4 28.23Мб
3. Slicing Two-Dimensional Numpy Arrays.mp4 31.44Мб
3. Statistical Operations in Numpy.mp4 30.18Мб
3. Top Level Element Selection in Pandas DataFramesLesson 1.mp4 35.51Мб
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4. 6 Article Advice And Links about Numpy, Numpy Pyhon.html 4.19Кб
4. Assigning Value to One-Dimensional Arrays.mp4 16.92Мб
4. Concatenating Numpy Arrays Concatenate() Functio.mp4 35.83Мб
4. Creating NumPy Array with Full() Function.mp4 10.48Мб
4. Dropping Null Values Dropna() Function.mp4 31.73Мб
4. Examining the Data Set 2.mp4 42.56Мб
4. Examining the Properties of Pandas DataFrames.mp4 23.89Мб
4. Merge Pandas Dataframes Merge() Function Lesson 3.mp4 53.80Мб
4. Object Types in Series.mp4 17.96Мб
4. Outputting as an CSV Extension.mp4 32.79Мб
4. quiz.html 207б
4. Solving Second-Degree Equations with NumPy.mp4 22.40Мб
4. Top Level Element Selection in Pandas DataFramesLesson 2.mp4 29.01Мб
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5. Assigning Value to Two-Dimensional Array.mp4 32.49Мб
5. Coordinated Use of Grouping and Aggregation Functions in Pandas Dataframes.mp4 80.91Мб
5. Creating NumPy Array with Arange() Function.mp4 11.45Мб
5. Examining the Primary Features of the Pandas Seri.mp4 17.43Мб
5. Filling Null Values Fillna() Function.mp4 47.90Мб
5. Installing Anaconda Distribution for Linux.mp4 119.82Мб
5. Merge Pandas Dataframes Merge() Function Lesson 4.mp4 37.44Мб
5. Outputting as an Excel File.mp4 18.14Мб
5. quiz.html 207б
5. Splitting One-Dimensional Numpy Arrays The Split.mp4 19.42Мб
5. Top Level Element Selection in Pandas DataFramesLesson 3.mp4 20.53Мб
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6. Advanced Aggregation Functions Aggregate() Function.mp4 26.96Мб
6. Creating NumPy Array with Eye() Function.mp4 11.81Мб
6. Element Selection with Conditional Operations in.mp4 42.54Мб
6. Fancy Indexing of One-Dimensional Arrrays.mp4 19.01Мб
6. Joining Pandas Dataframes Join() Function.mp4 51.90Мб
6. Most Applied Methods on Pandas Series.mp4 44.08Мб
6. quiz.html 207б
6. Setting Index in Pandas DataFrames.mp4 36.42Мб
6. Splitting Two-Dimensional Numpy Arrays Split(),.mp4 33.31Мб
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7. Advanced Aggregation Functions Filter() Function.mp4 22.97Мб
7. Creating NumPy Array with Linspace() Function.mp4 6.89Мб
7. Fancy Indexing of Two-Dimensional Arrrays.mp4 42.63Мб
7. Indexing and Slicing Pandas Series.mp4 26.89Мб
7. quiz.html 207б
7. quiz.html 207б
7. quiz.html 207б
7. Sorting Numpy Arrays Sort() Function.mp4 15.72Мб
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8. Advanced Aggregation Functions Transform() Function.mp4 43.73Мб
8. Combining Fancy Index with Normal Indexing.mp4 11.88Мб
8. Creating NumPy Array with Random() Function.mp4 39.90Мб
8. quiz.html 207б
8. Quiz.html 207б
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9. Advanced Aggregation Functions Apply() Function.mp4 38.32Мб
9. Combining Fancy Index with Normal Slicing.mp4 15.44Мб
9. Properties of NumPy Array.mp4 20.63Мб
TutsNode.net.txt 63б
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