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Please note that this page does not hosts or makes available any of the listed filenames. You
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| [FreeCourseSite.com].txt |
1.07KB |
| [FreeCourseSite.com].url |
127B |
| [HaxTech.me].txt |
1.05KB |
| [HaxTech.me].url |
123B |
| 1.1 pandas.zip.zip |
684.75KB |
| 1. Conclusion.mp4 |
2.95MB |
| 1. Create Jupyter Notebook for the Series Module.mp4 |
3.81MB |
| 1. Introduction to the Course.mp4 |
34.00MB |
| 1. Introduction to the Options and Settings Module.mp4 |
3.33MB |
| 1. Intro to DataFrames I Module.mp4 |
17.63MB |
| 1. Intro to the DataFrames III Module + Import Dataset.mp4 |
7.67MB |
| 1. Intro to the Groupby Module.mp4 |
14.29MB |
| 1. Intro to the Input and Output Module.mp4 |
2.81MB |
| 1. Intro to the Merging, Joining, and Concatenating Module.mp4 |
11.46MB |
| 1. Intro to the Module + Fetch Panel Dataset from Google Finance.mp4 |
13.68MB |
| 1. Intro to the MultiIndex Module.mp4 |
8.33MB |
| 1. Intro to the Working with Dates and Times Module.mp4 |
6.33MB |
| 1. Intro to the Working with Text Data Module.mp4 |
13.87MB |
| 1. Intro to Visualization Module.mp4 |
7.31MB |
| 1. This Module's Dataset + Memory Optimization.mp4 |
24.44MB |
| 10.1 Official pandas Documentation.html |
143B |
| 10. Delete Rows or Columns from a DataFrame.mp4 |
16.21MB |
| 10. Fill in Null Values with the .fillna() Method.mp4 |
10.75MB |
| 10. Install pandas-datareader Library.mp4 |
5.90MB |
| 10. Merging by Indexes with the left_index and right_index Parameters.mp4 |
22.70MB |
| 10. More Series Attributes.mp4 |
11.66MB |
| 10. The .swapaxes() Method.mp4 |
9.71MB |
| 10. The .unique() and .nunique() Methods.mp4 |
8.19MB |
| 10. The .unstack() Method, Part 1.mp4 |
8.48MB |
| 10. Windows - Access the Command Prompt and Update Anaconda Libraries.mp4 |
19.06MB |
| 11.1 Official pandas Documentation.html |
145B |
| 11.1 Official pandas Documentation.html |
143B |
| 11. A Review of the Panels Module.html |
131B |
| 11. Create Random Sample with the .sample() Method.mp4 |
9.33MB |
| 11. Import Financial Data Set with pandas_datareader Library.mp4 |
25.48MB |
| 11. The .astype() Method.mp4 |
23.86MB |
| 11. The .join() Method.mp4 |
6.27MB |
| 11. The .sort_values() Method.mp4 |
10.83MB |
| 11. The .unstack() Method, Part 2.mp4 |
14.53MB |
| 11. Windows - Unpack Course Materials + The Startdown and Shutdown Process.mp4 |
15.47MB |
| 12.1 Official pandas Documentation.html |
148B |
| 12. Intro to the Jupyter Notebook Interface.mp4 |
9.31MB |
| 12. Selecting Rows from a DataFrame with a DateTimeIndex.mp4 |
18.34MB |
| 12. Sort a DataFrame with the .sort_values() Method, Part I.mp4 |
13.28MB |
| 12. The .nsmallest() and .nlargest() Methods.mp4 |
12.07MB |
| 12. The .unstack() Method, Part 3.mp4 |
11.97MB |
| 12. The inplace Parameter.mp4 |
9.39MB |
| 12. The pd.merge() Method.mp4 |
6.85MB |
| 13.1 Official pandas Documentation.html |
144B |
| 13.1 Official pandas Documentation.html |
148B |
| 13. Cell Types and Cell Modes.mp4 |
11.68MB |
| 13. Filtering with the .where() Method.mp4 |
13.56MB |
| 13. Sort a DataFrame with the .sort_values() Method, Part II.mp4 |
8.83MB |
| 13. The .pivot() Method.mp4 |
12.11MB |
| 13. The .sort_index() Method.mp4 |
8.58MB |
| 13. Timestamp Object Attributes.mp4 |
19.57MB |
| 14.1 Official pandas Documentation.html |
147B |
| 14. Code Cell Execution.mp4 |
8.22MB |
| 14. Python's in Keyword.mp4 |
7.30MB |
| 14. Sort DataFrame with the .sort_index() Method.mp4 |
6.56MB |
| 14. The .pivot_table() Method.mp4 |
22.17MB |
| 14. The .query() Method.mp4 |
19.93MB |
| 14. The .truncate() Method.mp4 |
9.04MB |
| 15.1 Official pandas Documentation.html |
141B |
| 15. A Review of the .apply() Method on Single Columns.mp4 |
11.75MB |
| 15. Extract Series Values by Index Position.mp4 |
8.90MB |
| 15. pd.DateOffset Objects.mp4 |
25.58MB |
| 15. Popular Keyboard Shortcuts.mp4 |
6.26MB |
| 15. Rank Values with the .rank() Method.mp4 |
13.16MB |
| 15. The pd.melt() Method.mp4 |
17.26MB |
| 16. Extract Series Values by Index Label.mp4 |
13.74MB |
| 16. Import Libraries into Jupyter Notebook.mp4 |
11.54MB |
| 16. More Fun with pd.DateOffset Objects.mp4 |
31.91MB |
| 16. The .apply() Method with Row Values.mp4 |
13.41MB |
| 17. Python Crash Course, Part 1 - Data Types and Variables.mp4 |
11.98MB |
| 17. The .copy() Method.mp4 |
15.45MB |
| 17. The .get() Method on a Series.mp4 |
9.56MB |
| 17. The pandas Timedelta Object.mp4 |
15.41MB |
| 18. Math Methods on Series Objects.mp4 |
10.16MB |
| 18. Python Crash Course, Part 2 - Lists.mp4 |
9.00MB |
| 18. Timedeltas in a Dataset.mp4 |
19.55MB |
| 19. Python Crash Course, Part 3 - Dictionaries.mp4 |
7.20MB |
| 19. The .idxmax() and .idxmin() Methods.mp4 |
5.75MB |
| 2.1 CompletedCourseFiles.zip.zip |
363.34KB |
| 2.1 set_index Documentation.html |
147B |
| 2.2 reset_index Documentation.html |
149B |
| 2. Changing pandas Options with Attributes and Dot Syntax.mp4 |
19.83MB |
| 2. Common String Methods - lower, upper, title, and len.mp4 |
14.88MB |
| 2. Completed Course Files.html |
948B |
| 2. Create a MultiIndex with the set_index() Method.mp4 |
21.05MB |
| 2. Create A Series Object from a Python List.mp4 |
18.12MB |
| 2. Feed pd.read_csv() Method a URL Argument.mp4 |
7.61MB |
| 2. Filter a DataFrame Based on A Condition.mp4 |
27.40MB |
| 2. First Operations with groupby Object.mp4 |
23.08MB |
| 2. Review of Python's datetime Module.mp4 |
16.74MB |
| 2. Shared Methods and Attributes between Series and DataFrames.mp4 |
15.62MB |
| 2. The .plot() Method.mp4 |
18.97MB |
| 2. The .set_index() and .reset_index() Methods.mp4 |
13.19MB |
| 2. The Axes of a Panel Object.mp4 |
16.31MB |
| 2. The pd.concat() Method, Part 1.mp4 |
12.56MB |
| 20. Python Crash Course, Part 4 - Operators.mp4 |
7.88MB |
| 20. The .value_counts() Method.mp4 |
6.73MB |
| 21. Python Crash Course, Part 5 - Functions.mp4 |
10.12MB |
| 21. The .apply() Method.mp4 |
12.32MB |
| 22. The .map() Method.mp4 |
13.09MB |
| 23. A Review of the Series Module.html |
131B |
| 3.1 loc[] Documentation.html |
141B |
| 3. Changing pandas Options with Methods.mp4 |
13.92MB |
| 3. Create A Series Object from a Python Dictionary.mp4 |
5.19MB |
| 3. Differences between Shared Methods.mp4 |
13.10MB |
| 3. Filter with More than One Condition (AND - &).mp4 |
9.29MB |
| 3. Mac OS - Download the Anaconda Distribution.mp4 |
7.93MB |
| 3. Modifying Aesthetics with Templates.mp4 |
12.09MB |
| 3. Panel Attributes.mp4 |
10.50MB |
| 3. Quick Object Conversions.mp4 |
11.36MB |
| 3. Retrieve A Group with the .get_group() Method.mp4 |
10.14MB |
| 3. Retrieve Rows by Index Label with .loc[].mp4 |
25.87MB |
| 3. The .get_level_values() Method.mp4 |
16.55MB |
| 3. The .str.replace() Method.mp4 |
16.00MB |
| 3. The pandas Timestamp Object.mp4 |
12.81MB |
| 3. The pd.concat() Method, Part 2.mp4 |
13.21MB |
| 4. Bar Graphs.mp4 |
12.27MB |
| 4. Export DataFrame to CSV File with the .to_csv() Method.mp4 |
10.67MB |
| 4. Filtering with String Methods.mp4 |
15.54MB |
| 4. Filter with More than One Condition (OR - ).mp4 |
16.75MB |
| 4. Intro to Attributes.mp4 |
12.86MB |
| 4. Mac OS - Install Anaconda Distribution.mp4 |
18.07MB |
| 4. Methods on the Groupby Object and DataFrame Columns.mp4 |
20.49MB |
| 4. Retrieve Rows by Index Position with .iloc[].mp4 |
13.31MB |
| 4. Select One Column from a DataFrame.mp4 |
14.87MB |
| 4. The .append() Method on a DataFrame.mp4 |
5.13MB |
| 4. The .set_names() Method.mp4 |
6.09MB |
| 4. The pandas DateTimeIndex Object.mp4 |
9.65MB |
| 4. The precision Option.mp4 |
6.10MB |
| 4. Use Bracket Notation to Extract a DataFrame from a Panel.mp4 |
8.25MB |
| 5. Extracting with the .loc, .iloc, and .ix Methods.mp4 |
13.54MB |
| 5. Grouping by Multiple Columns.mp4 |
10.35MB |
| 5. Inner Joins, Part 1.mp4 |
17.92MB |
| 5. Install xlrd and openpyxl Libraries to Read and Write Excel Files.mp4 |
5.98MB |
| 5. Intro to Methods.mp4 |
7.91MB |
| 5. Mac OS - Access the Terminal.mp4 |
6.35MB |
| 5. More String Methods - strip, lstrip, and rstrip.mp4 |
9.54MB |
| 5. Pie Charts.mp4 |
9.87MB |
| 5. Select Two or More Columns from a DataFrame.mp4 |
9.94MB |
| 5. The .isin() Method.mp4 |
12.54MB |
| 5. The Catch-All .ix[] Method.mp4 |
18.56MB |
| 5. The pd.to_datetime() Method.mp4 |
22.88MB |
| 5. The sort_index() Method.mp4 |
10.25MB |
| 6. Add New Column to DataFrame.mp4 |
17.23MB |
| 6. Convert Panel to a MultiIndex DataFrame (and Vice Versa).mp4 |
8.69MB |
| 6. Create Range of Dates with the pd.date_range() Method, Part 1.mp4 |
19.68MB |
| 6. Extract Rows from a MultiIndex DataFrame.mp4 |
17.34MB |
| 6. Histograms.mp4 |
12.17MB |
| 6. Import Excel File into pandas.mp4 |
19.13MB |
| 6. Inner Joins, Part 2.mp4 |
16.61MB |
| 6. Mac OS - Update Anaconda Libraries.mp4 |
35.27MB |
| 6. Parameters and Arguments.mp4 |
18.28MB |
| 6. Second Arguments to .loc[], .iloc[], and .ix[] Methods.mp4 |
12.36MB |
| 6. String Methods on Index and Columns.mp4 |
11.13MB |
| 6. The .agg() Method.mp4 |
13.18MB |
| 6. The .isnull() and .notnull() Methods.mp4 |
12.26MB |
| 7. Broadcasting Operations.mp4 |
18.23MB |
| 7. Create Range of Dates with the pd.date_range() Method, Part 2.mp4 |
18.54MB |
| 7. Export Excel File.mp4 |
17.80MB |
| 7. Import Series with the .read_csv() Method.mp4 |
21.14MB |
| 7. Iterating through Groups.mp4 |
21.37MB |
| 7. Mac OS - Unpack Course Materials + The Startdown and Shutdown Process.mp4 |
22.15MB |
| 7. Outer Joins.mp4 |
25.94MB |
| 7. Set New Values for a Specific Cell or Row.mp4 |
8.89MB |
| 7. Split Strings by Characters with .str.split() Method.mp4 |
17.52MB |
| 7. The .between() Method.mp4 |
16.76MB |
| 7. The .major_xs() Method.mp4 |
12.12MB |
| 7. The .transpose() Method and MultiIndex on Column Level.mp4 |
11.92MB |
| 7. Visualization.html |
131B |
| 8.1 Official pandas Documentation.html |
138B |
| 8. A Review of the .value_counts() Method.mp4 |
8.42MB |
| 8. Create Range of Dates with the pd.date_range() Method, Part 3.mp4 |
16.33MB |
| 8. Input and Output.html |
131B |
| 8. Left Joins.mp4 |
21.00MB |
| 8. More Practice with Splits.mp4 |
11.93MB |
| 8. Set Multiple Values in DataFrame.mp4 |
20.54MB |
| 8. The .duplicated() Method.mp4 |
19.56MB |
| 8. The .head() and .tail() Methods.mp4 |
6.47MB |
| 8. The .minor_xs() Method.mp4 |
13.62MB |
| 8. The .swaplevel() Method.mp4 |
5.18MB |
| 8. Windows - Download the Anaconda Distribution.mp4 |
7.65MB |
| 9. Drop Rows with Null Values.mp4 |
19.20MB |
| 9. Python Built-In Functions.mp4 |
9.87MB |
| 9. Rename Index Labels or Columns in a DataFrame.mp4 |
13.40MB |
| 9. The .drop_duplicates() Method.mp4 |
17.55MB |
| 9. The .dt Accessor.mp4 |
13.69MB |
| 9. The .stack() Method.mp4 |
13.19MB |
| 9. The expand and n Parameters of the .str.split() Method.mp4 |
15.30MB |
| 9. The left_on and right_on Parameters.mp4 |
20.24MB |
| 9. Transpose a Panel with the .transpose() Method.mp4 |
15.73MB |
| 9. Windows - Install Anaconda Distribution.mp4 |
15.20MB |