Pandas and NumPy Python Programming Language Libraries A-Z --> [ DevCourseWeb ]


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Torrent File Content (102 files)


[ DevCourseWeb.com ] Udemy - Pandas and NumPy Python Programming Language Libraries A-Z
     Get Bonus Downloads Here.url -
182 bytes

    ~Get Your Files Here !
          1. Installations/1. Installing Anaconda Distribution for Windows.mp4 -
122.59 MB

          1. Installations/2. Notebook Project Files Link regarding NumPy Python Programming Language Library.html -
155 bytes

          1. Installations/3. Installing Anaconda Distribution for MacOs.mp4 -
57.92 MB

          1. Installations/4. 6 Article Advice And Links about Numpy, Numpy Pyhon.html -
4.19 KB

          1. Installations/5. Installing Anaconda Distribution for Linux.mp4 -
119.82 MB

          10. Element Selection Operations in DataFrame Structures/1. Element Selection Operations in Pandas DataFrames Lesson 1.mp4 -
27.46 MB

          10. Element Selection Operations in DataFrame Structures/2. Element Selection Operations in Pandas DataFrames Lesson 2.mp4 -
29.37 MB

          10. Element Selection Operations in DataFrame Structures/3. Top Level Element Selection in Pandas DataFramesLesson 1.mp4 -
35.51 MB

          10. Element Selection Operations in DataFrame Structures/4. Top Level Element Selection in Pandas DataFramesLesson 2.mp4 -
29.01 MB

          10. Element Selection Operations in DataFrame Structures/5. Top Level Element Selection in Pandas DataFramesLesson 3.mp4 -
20.53 MB

          10. Element Selection Operations in DataFrame Structures/6. Element Selection with Conditional Operations in.mp4 -
42.54 MB

          10. Element Selection Operations in DataFrame Structures/7. quiz.html -
207 bytes

          11. Structural Operations on Pandas DataFrame/1. Adding Columns to Pandas Data Frames.mp4 -
31.05 MB

          11. Structural Operations on Pandas DataFrame/2. Removing Rows and Columns from Pandas Data frames.mp4 -
14.4 MB

          11. Structural Operations on Pandas DataFrame/3. Null Values in Pandas Dataframes.mp4 -
62.35 MB

          11. Structural Operations on Pandas DataFrame/4. Dropping Null Values Dropna() Function.mp4 -
31.73 MB

          11. Structural Operations on Pandas DataFrame/5. Filling Null Values Fillna() Function.mp4 -
47.9 MB

          11. Structural Operations on Pandas DataFrame/6. Setting Index in Pandas DataFrames.mp4 -
36.42 MB

          11. Structural Operations on Pandas DataFrame/7. quiz.html -
207 bytes

          12. Multi-Indexed DataFrame Structures/1. Multi-Index and Index Hierarchy in Pandas DataFrames.mp4 -
39.53 MB

          12. Multi-Indexed DataFrame Structures/2. Element Selection in Multi-Indexed DataFrames.mp4 -
22.34 MB

          12. Multi-Indexed DataFrame Structures/3. Selecting Elements Using the xs() Function in Multi-Indexed DataFrames.mp4 -
28.23 MB

          12. Multi-Indexed DataFrame Structures/4. quiz.html -
207 bytes

          13. Structural Concatenation Operations in Pandas DataFrame/1. Concatenating Pandas Dataframes Concat Function.mp4 -
58.05 MB

          13. Structural Concatenation Operations in Pandas DataFrame/2. Merge Pandas Dataframes Merge() Function Lesson 1.mp4 -
51.32 MB

          13. Structural Concatenation Operations in Pandas DataFrame/3. Merge Pandas Dataframes Merge() Function Lesson 2.mp4 -
27.43 MB

          13. Structural Concatenation Operations in Pandas DataFrame/4. Merge Pandas Dataframes Merge() Function Lesson 3.mp4 -
53.8 MB

          13. Structural Concatenation Operations in Pandas DataFrame/5. Merge Pandas Dataframes Merge() Function Lesson 4.mp4 -
37.44 MB

          13. Structural Concatenation Operations in Pandas DataFrame/6. Joining Pandas Dataframes Join() Function.mp4 -
51.9 MB

          13. Structural Concatenation Operations in Pandas DataFrame/7. quiz.html -
207 bytes

          14. Functions That Can Be Applied on a DataFrame/1. Loading a Dataset from the Seaborn Library.mp4 -
35 MB

          14. Functions That Can Be Applied on a DataFrame/10. quiz.html -
207 bytes

          14. Functions That Can Be Applied on a DataFrame/2. Examining the Data Set 1.mp4 -
39.19 MB

          14. Functions That Can Be Applied on a DataFrame/3. Aggregation Functions in Pandas DataFrames.mp4 -
83.67 MB

          14. Functions That Can Be Applied on a DataFrame/4. Examining the Data Set 2.mp4 -
42.56 MB

          14. Functions That Can Be Applied on a DataFrame/5. Coordinated Use of Grouping and Aggregation Functions in Pandas Dataframes.mp4 -
80.91 MB

          14. Functions That Can Be Applied on a DataFrame/6. Advanced Aggregation Functions Aggregate() Function.mp4 -
26.96 MB

          14. Functions That Can Be Applied on a DataFrame/7. Advanced Aggregation Functions Filter() Function.mp4 -
22.97 MB

          14. Functions That Can Be Applied on a DataFrame/8. Advanced Aggregation Functions Transform() Function.mp4 -
43.73 MB

          14. Functions That Can Be Applied on a DataFrame/9. Advanced Aggregation Functions Apply() Function.mp4 -
38.32 MB

          15. Pivot Tables in Pandas Library/1. Examining the Data Set 3.mp4 -
35.61 MB

          15. Pivot Tables in Pandas Library/2. Pivot Tables in Pandas Library.mp4 -
49.96 MB

          15. Pivot Tables in Pandas Library/3. quiz.html -
207 bytes

          16. File Operations in Pandas Library/1. Accessing and Making Files Available.mp4 -
32.25 MB

          16. File Operations in Pandas Library/2. Data Entry with Csv and Txt Files.mp4 -
59.35 MB

          16. File Operations in Pandas Library/3. Data Entry with Excel Files.mp4 -
19.84 MB

          16. File Operations in Pandas Library/4. Outputting as an CSV Extension.mp4 -
32.79 MB

          16. File Operations in Pandas Library/5. Outputting as an Excel File.mp4 -
18.14 MB

          16. File Operations in Pandas Library/6. quiz.html -
207 bytes



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