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| 1. Accessing and Making Files Available.mp4 |
32.25MB |
| 1. Adding Columns to Pandas Data Frames.mp4 |
31.05MB |
| 1. Concatenating Pandas Dataframes Concat Function.mp4 |
58.05MB |
| 1. Creating a Pandas Series with a List.mp4 |
36.24MB |
| 1. Creating NumPy Array with The Array() Function.mp4 |
27.34MB |
| 1. Creating Pandas DataFrame with List.mp4 |
21.15MB |
| 1. Element Selection Operations in Pandas DataFrames Lesson 1.mp4 |
27.46MB |
| 1. Examining the Data Set 3.mp4 |
35.61MB |
| 1. Indexing Numpy Arrays.mp4 |
24.66MB |
| 1. Installing Anaconda Distribution for Windows.mp4 |
122.59MB |
| 1. Introduction to NumPy Library.mp4 |
43.42MB |
| 1. Introduction to Pandas Library.mp4 |
32.34MB |
| 1. Loading a Dataset from the Seaborn Library.mp4 |
35.00MB |
| 1. Multi-Index and Index Hierarchy in Pandas DataFrames.mp4 |
39.53MB |
| 1. Operations with Comparison Operators.mp4 |
19.86MB |
| 1. Pandas & NumPy Python Programming Language Libraries A-Z™.html |
266B |
| 1. Reshaping a NumPy Array Reshape() Function.mp4 |
24.47MB |
| 10. quiz.html |
207B |
| 10. Quiz.html |
207B |
| 2. Arithmetic Operations in Numpy.mp4 |
67.03MB |
| 2. Creating a Pandas Series with a Dictionary.mp4 |
16.85MB |
| 2. Creating NumPy Array with Zeros() Function.mp4 |
22.74MB |
| 2. Creating Pandas DataFrame with NumPy Array.mp4 |
11.22MB |
| 2. Data Entry with Csv and Txt Files.mp4 |
59.35MB |
| 2. Element Selection in Multi-Indexed DataFrames.mp4 |
22.34MB |
| 2. Element Selection Operations in Pandas DataFrames Lesson 2.mp4 |
29.37MB |
| 2. Examining the Data Set 1.mp4 |
39.19MB |
| 2. Identifying the Largest Element of a Numpy Array.mp4 |
14.34MB |
| 2. Merge Pandas Dataframes Merge() Function Lesson 1.mp4 |
51.32MB |
| 2. Notebook Project Files Link regarding NumPy Python Programming Language Library.html |
155B |
| 2. Pandas Project Files Link.html |
180B |
| 2. Pivot Tables in Pandas Library.mp4 |
49.96MB |
| 2. Removing Rows and Columns from Pandas Data frames.mp4 |
14.40MB |
| 2. Slicing One-Dimensional Numpy Arrays.mp4 |
20.79MB |
| 2. The Power of NumPy.mp4 |
55.66MB |
| 3. Aggregation Functions in Pandas DataFrames.mp4 |
83.67MB |
| 3. Creating NumPy Array with Ones() Function.mp4 |
14.90MB |
| 3. Creating Pandas DataFrame with Dictionary.mp4 |
14.74MB |
| 3. Creating Pandas Series with NumPy Array.mp4 |
11.02MB |
| 3. Data Entry with Excel Files.mp4 |
19.84MB |
| 3. Detecting Least Element of Numpy Array Min(), Ar.mp4 |
9.54MB |
| 3. Installing Anaconda Distribution for MacOs.mp4 |
57.92MB |
| 3. Merge Pandas Dataframes Merge() Function Lesson 2.mp4 |
27.43MB |
| 3. Null Values in Pandas Dataframes.mp4 |
62.35MB |
| 3. quiz.html |
207B |
| 3. Quiz.html |
207B |
| 3. Quiz.html |
207B |
| 3. Selecting Elements Using the xs() Function in Multi-Indexed DataFrames.mp4 |
28.23MB |
| 3. Slicing Two-Dimensional Numpy Arrays.mp4 |
31.44MB |
| 3. Statistical Operations in Numpy.mp4 |
30.18MB |
| 3. Top Level Element Selection in Pandas DataFramesLesson 1.mp4 |
35.51MB |
| 4. 6 Article Advice And Links about Numpy, Numpy Pyhon.html |
4.19KB |
| 4. Assigning Value to One-Dimensional Arrays.mp4 |
16.92MB |
| 4. Concatenating Numpy Arrays Concatenate() Functio.mp4 |
35.83MB |
| 4. Creating NumPy Array with Full() Function.mp4 |
10.48MB |
| 4. Dropping Null Values Dropna() Function.mp4 |
31.73MB |
| 4. Examining the Data Set 2.mp4 |
42.56MB |
| 4. Examining the Properties of Pandas DataFrames.mp4 |
23.89MB |
| 4. Merge Pandas Dataframes Merge() Function Lesson 3.mp4 |
53.80MB |
| 4. Object Types in Series.mp4 |
17.96MB |
| 4. Outputting as an CSV Extension.mp4 |
32.79MB |
| 4. quiz.html |
207B |
| 4. Solving Second-Degree Equations with NumPy.mp4 |
22.40MB |
| 4. Top Level Element Selection in Pandas DataFramesLesson 2.mp4 |
29.01MB |
| 5. Assigning Value to Two-Dimensional Array.mp4 |
32.49MB |
| 5. Coordinated Use of Grouping and Aggregation Functions in Pandas Dataframes.mp4 |
80.91MB |
| 5. Creating NumPy Array with Arange() Function.mp4 |
11.45MB |
| 5. Examining the Primary Features of the Pandas Seri.mp4 |
17.43MB |
| 5. Filling Null Values Fillna() Function.mp4 |
47.90MB |
| 5. Installing Anaconda Distribution for Linux.mp4 |
119.82MB |
| 5. Merge Pandas Dataframes Merge() Function Lesson 4.mp4 |
37.44MB |
| 5. Outputting as an Excel File.mp4 |
18.14MB |
| 5. quiz.html |
207B |
| 5. Splitting One-Dimensional Numpy Arrays The Split.mp4 |
19.42MB |
| 5. Top Level Element Selection in Pandas DataFramesLesson 3.mp4 |
20.53MB |
| 6. Advanced Aggregation Functions Aggregate() Function.mp4 |
26.96MB |
| 6. Creating NumPy Array with Eye() Function.mp4 |
11.81MB |
| 6. Element Selection with Conditional Operations in.mp4 |
42.54MB |
| 6. Fancy Indexing of One-Dimensional Arrrays.mp4 |
19.01MB |
| 6. Joining Pandas Dataframes Join() Function.mp4 |
51.90MB |
| 6. Most Applied Methods on Pandas Series.mp4 |
44.08MB |
| 6. quiz.html |
207B |
| 6. Setting Index in Pandas DataFrames.mp4 |
36.42MB |
| 6. Splitting Two-Dimensional Numpy Arrays Split(),.mp4 |
33.31MB |
| 7. Advanced Aggregation Functions Filter() Function.mp4 |
22.97MB |
| 7. Creating NumPy Array with Linspace() Function.mp4 |
6.89MB |
| 7. Fancy Indexing of Two-Dimensional Arrrays.mp4 |
42.63MB |
| 7. Indexing and Slicing Pandas Series.mp4 |
26.89MB |
| 7. quiz.html |
207B |
| 7. quiz.html |
207B |
| 7. quiz.html |
207B |
| 7. Sorting Numpy Arrays Sort() Function.mp4 |
15.72MB |
| 8. Advanced Aggregation Functions Transform() Function.mp4 |
43.73MB |
| 8. Combining Fancy Index with Normal Indexing.mp4 |
11.88MB |
| 8. Creating NumPy Array with Random() Function.mp4 |
39.90MB |
| 8. quiz.html |
207B |
| 8. Quiz.html |
207B |
| 9. Advanced Aggregation Functions Apply() Function.mp4 |
38.32MB |
| 9. Combining Fancy Index with Normal Slicing.mp4 |
15.44MB |
| 9. Properties of NumPy Array.mp4 |
20.63MB |
| Bonus Resources.txt |
386B |
| Get Bonus Downloads Here.url |
182B |