| 1. Conclusion.mp4 | 3 MB | ||
| 1. Create Jupyter Notebook for the Series Module.mp4 | 3.8 MB | ||
| 1. Intro to DataFrames I Module.mp4 | 17.6 MB | ||
| 1. Intro to Visualization Module.mp4 | 7.3 MB | ||
| 1. Intro to the DataFrames III Module + Import Dataset.mp4 | 7.7 MB | ||
| 1. Intro to the Groupby Module.mp4 | 14.3 MB | ||
| 1. Intro to the Input and Output Module.mp4 | 2.8 MB | ||
| 1. Intro to the Merging, Joining, and Concatenating Module.mp4 | 11.5 MB | ||
| 1. Intro to the Module + Fetch Panel Dataset from Google Finance.mp4 | 13.7 MB | ||
| 1. Intro to the MultiIndex Module.mp4 | 8.3 MB | ||
| 1. Intro to the Working with Dates and Times Module.mp4 | 6.3 MB | ||
| 1. Intro to the Working with Text Data Module.mp4 | 13.9 MB | ||
| 1. Introduction to the Course.mp4 | 34 MB | ||
| 1. Introduction to the Options and Settings Module.mp4 | 3.3 MB | ||
| 1. This Module's Dataset + Memory Optimization.mp4 | 24.4 MB | ||
| 1.1 pandas.zip.zip | 684.7 KB | ||
| 10. Delete Rows or Columns from a DataFrame.mp4 | 16.2 MB | ||
| 10. Fill in Null Values with the .fillna() Method.mp4 | 10.8 MB | ||
| 10. Install pandas-datareader Library.mp4 | 5.9 MB | ||
| 10. Merging by Indexes with the left_index and right_index Parameters.mp4 | 22.7 MB | ||
| 10. More Series Attributes.mp4 | 11.7 MB | ||
| 10. The .swapaxes() Method.mp4 | 9.7 MB | ||
| 10. The .unique() and .nunique() Methods.mp4 | 8.2 MB | ||
| 10. The .unstack() Method, Part 1.mp4 | 8.5 MB | ||
| 10. Windows - Access the Command Prompt and Update Anaconda Libraries.mp4 | 19.1 MB | ||
| 10.1 Official pandas Documentation.html | 102.4 B | ||
| 11. A Review of the Panels Module.html | 102.4 B | ||
| 11. Create Random Sample with the .sample() Method.mp4 | 9.3 MB | ||
| 11. Import Financial Data Set with pandas_datareader Library.mp4 | 25.5 MB | ||
| 11. The .astype() Method.mp4 | 23.9 MB | ||
| 11. The .join() Method.mp4 | 6.3 MB | ||
| 11. The .sort_values() Method.mp4 | 10.8 MB | ||
| 11. The .unstack() Method, Part 2.mp4 | 14.5 MB | ||
| 11. Windows - Unpack Course Materials + The Startdown and Shutdown Process.mp4 | 15.5 MB | ||
| 11.1 Official pandas Documentation.html | 102.4 B | ||
| 12. Intro to the Jupyter Notebook Interface.mp4 | 9.3 MB | ||
| 12. Selecting Rows from a DataFrame with a DateTimeIndex.mp4 | 18.3 MB | ||
| 12. Sort a DataFrame with the .sort_values() Method, Part I.mp4 | 13.3 MB | ||
| 12. The .nsmallest() and .nlargest() Methods.mp4 | 12.1 MB | ||
| 12. The .unstack() Method, Part 3.mp4 | 12 MB | ||
| 12. The inplace Parameter.mp4 | 9.4 MB | ||
| 12. The pd.merge() Method.mp4 | 6.8 MB | ||
| 12.1 Official pandas Documentation.html | 102.4 B | ||
| 13. Cell Types and Cell Modes.mp4 | 11.7 MB | ||
| 13. Filtering with the .where() Method.mp4 | 13.6 MB | ||
| 13. Sort a DataFrame with the .sort_values() Method, Part II.mp4 | 8.8 MB | ||
| 13. The .pivot() Method.mp4 | 12.1 MB | ||
| 13. The .sort_index() Method.mp4 | 8.6 MB | ||
| 13. Timestamp Object Attributes.mp4 | 19.6 MB | ||
| 13.1 Official pandas Documentation.html | 102.4 B | ||
| 14. Code Cell Execution.mp4 | 8.2 MB | ||
| 14. Python's in Keyword.mp4 | 7.3 MB | ||
| 14. Sort DataFrame with the .sort_index() Method.mp4 | 6.6 MB | ||
| 14. The .pivot_table() Method.mp4 | 22.2 MB | ||
| 14. The .query() Method.mp4 | 19.9 MB | ||
| 14. The .truncate() Method.mp4 | 9 MB | ||
| 14.1 Official pandas Documentation.html | 102.4 B | ||
| 15. A Review of the .apply() Method on Single Columns.mp4 | 11.8 MB | ||
| 15. Extract Series Values by Index Position.mp4 | 8.9 MB | ||
| 15. Popular Keyboard Shortcuts.mp4 | 6.3 MB | ||
| 15. Rank Values with the .rank() Method.mp4 | 13.2 MB | ||
| 15. The pd.melt() Method.mp4 | 17.3 MB | ||
| 15. pd.DateOffset Objects.mp4 | 25.6 MB | ||
| 15.1 Official pandas Documentation.html | 102.4 B | ||
| 16. Extract Series Values by Index Label.mp4 | 13.7 MB | ||
| 16. Import Libraries into Jupyter Notebook.mp4 | 11.5 MB | ||
| 16. More Fun with pd.DateOffset Objects.mp4 | 31.9 MB | ||
| 16. The .apply() Method with Row Values.mp4 | 13.4 MB | ||
| 17. Python Crash Course, Part 1 - Data Types and Variables.mp4 | 12 MB | ||
| 17. The .copy() Method.mp4 | 15.5 MB | ||
| 17. The .get() Method on a Series.mp4 | 9.6 MB | ||
| 17. The pandas Timedelta Object.mp4 | 15.4 MB | ||
| 18. Math Methods on Series Objects.mp4 | 10.2 MB | ||
| 18. Python Crash Course, Part 2 - Lists.mp4 | 9 MB | ||
| 18. Timedeltas in a Dataset.mp4 | 19.6 MB | ||
| 19. Python Crash Course, Part 3 - Dictionaries.mp4 | 7.2 MB | ||
| 19. The .idxmax() and .idxmin() Methods.mp4 | 5.8 MB | ||
| 2. Changing pandas Options with Attributes and Dot Syntax.mp4 | 19.8 MB | ||
| 2. Common String Methods - lower, upper, title, and len.mp4 | 14.9 MB | ||
| 2. Completed Course Files.html | 921.6 B | ||
| 2. Create A Series Object from a Python List.mp4 | 18.1 MB | ||
| 2. Create a MultiIndex with the set_index() Method.mp4 | 21.1 MB | ||
| 2. Feed pd.read_csv() Method a URL Argument.mp4 | 7.6 MB | ||
| 2. Filter a DataFrame Based on A Condition.mp4 | 27.4 MB | ||
| 2. First Operations with groupby Object.mp4 | 23.1 MB | ||
| 2. Review of Python's datetime Module.mp4 | 16.7 MB | ||
| 2. Shared Methods and Attributes between Series and DataFrames.mp4 | 15.6 MB | ||
| 2. The .plot() Method.mp4 | 19 MB | ||
| 2. The .set_index() and .reset_index() Methods.mp4 | 13.2 MB | ||
| 2. The Axes of a Panel Object.mp4 | 16.3 MB | ||
| 2. The pd.concat() Method, Part 1.mp4 | 12.6 MB | ||
| 2.1 CompletedCourseFiles.zip.zip | 363.3 KB | ||
| 2.1 set_index Documentation.html | 102.4 B | ||
| 2.2 reset_index Documentation.html | 102.4 B | ||
| 20. Python Crash Course, Part 4 - Operators.mp4 | 7.9 MB | ||
| 20. The .value_counts() Method.mp4 | 6.7 MB | ||
| 21. Python Crash Course, Part 5 - Functions.mp4 | 10.1 MB | ||
| 21. The .apply() Method.mp4 | 12.3 MB | ||
| 22. The .map() Method.mp4 | 13.1 MB | ||
| 23. A Review of the Series Module.html | 102.4 B | ||
| 3. Changing pandas Options with Methods.mp4 | 13.9 MB | ||
| 3. Create A Series Object from a Python Dictionary.mp4 | 5.2 MB | ||
| 3. Differences between Shared Methods.mp4 | 13.1 MB | ||
| 3. Filter with More than One Condition (AND - &).mp4 | 9.3 MB | ||
| 3. Mac OS - Download the Anaconda Distribution.mp4 | 7.9 MB | ||
| 3. Modifying Aesthetics with Templates.mp4 | 12.1 MB | ||
| 3. Panel Attributes.mp4 | 10.5 MB | ||
| 3. Quick Object Conversions.mp4 | 11.4 MB | ||
| 3. Retrieve A Group with the .get_group() Method.mp4 | 10.1 MB | ||
| 3. Retrieve Rows by Index Label with .loc[].mp4 | 25.9 MB | ||
| 3. The .get_level_values() Method.mp4 | 16.6 MB | ||
| 3. The .str.replace() Method.mp4 | 16 MB | ||
| 3. The pandas Timestamp Object.mp4 | 12.8 MB | ||
| 3. The pd.concat() Method, Part 2.mp4 | 13.2 MB | ||
| 3.1 loc[] Documentation.html | 102.4 B | ||
| 4. Bar Graphs.mp4 | 12.3 MB | ||
| 4. Export DataFrame to CSV File with the .to_csv() Method.mp4 | 10.7 MB | ||
| 4. Filter with More than One Condition (OR - ).mp4 | 16.8 MB | ||
| 4. Filtering with String Methods.mp4 | 15.5 MB | ||
| 4. Intro to Attributes.mp4 | 12.9 MB | ||
| 4. Mac OS - Install Anaconda Distribution.mp4 | 18.1 MB | ||
| 4. Methods on the Groupby Object and DataFrame Columns.mp4 | 20.5 MB | ||
| 4. Retrieve Rows by Index Position with .iloc[].mp4 | 13.3 MB | ||
| 4. Select One Column from a DataFrame.mp4 | 14.9 MB | ||
| 4. The .append() Method on a DataFrame.mp4 | 5.1 MB | ||
| 4. The .set_names() Method.mp4 | 6.1 MB | ||
| 4. The pandas DateTimeIndex Object.mp4 | 9.7 MB | ||
| 4. The precision Option.mp4 | 6.1 MB | ||
| 4. Use Bracket Notation to Extract a DataFrame from a Panel.mp4 | 8.3 MB | ||
| 5. Extracting with the .loc, .iloc, and .ix Methods.mp4 | 13.5 MB | ||
| 5. Grouping by Multiple Columns.mp4 | 10.4 MB | ||
| 5. Inner Joins, Part 1.mp4 | 17.9 MB | ||
| 5. Install xlrd and openpyxl Libraries to Read and Write Excel Files.mp4 | 6 MB | ||
| 5. Intro to Methods.mp4 | 7.9 MB | ||
| 5. Mac OS - Access the Terminal.mp4 | 6.4 MB | ||
| 5. More String Methods - strip, lstrip, and rstrip.mp4 | 9.5 MB | ||
| 5. Pie Charts.mp4 | 9.9 MB | ||
| 5. Select Two or More Columns from a DataFrame.mp4 | 9.9 MB | ||
| 5. The .isin() Method.mp4 | 12.5 MB | ||
| 5. The Catch-All .ix[] Method.mp4 | 18.6 MB | ||
| 5. The pd.to_datetime() Method.mp4 | 22.9 MB | ||
| 5. The sort_index() Method.mp4 | 10.2 MB | ||
| 6. Add New Column to DataFrame.mp4 | 17.2 MB | ||
| 6. Convert Panel to a MultiIndex DataFrame (and Vice Versa).mp4 | 8.7 MB | ||
| 6. Create Range of Dates with the pd.date_range() Method, Part 1.mp4 | 19.7 MB | ||
| 6. Extract Rows from a MultiIndex DataFrame.mp4 | 17.3 MB | ||
| 6. Histograms.mp4 | 12.2 MB | ||
| 6. Import Excel File into pandas.mp4 | 19.1 MB | ||
| 6. Inner Joins, Part 2.mp4 | 16.6 MB | ||
| 6. Mac OS - Update Anaconda Libraries.mp4 | 35.3 MB | ||
| 6. Parameters and Arguments.mp4 | 18.3 MB | ||
| 6. Second Arguments to .loc[], .iloc[], and .ix[] Methods.mp4 | 12.4 MB | ||
| 6. String Methods on Index and Columns.mp4 | 11.1 MB | ||
| 6. The .agg() Method.mp4 | 13.2 MB | ||
| 6. The .isnull() and .notnull() Methods.mp4 | 12.3 MB | ||
| 7. Broadcasting Operations.mp4 | 18.2 MB | ||
| 7. Create Range of Dates with the pd.date_range() Method, Part 2.mp4 | 18.5 MB | ||
| 7. Export Excel File.mp4 | 17.8 MB | ||
| 7. Import Series with the .read_csv() Method.mp4 | 21.1 MB | ||
| 7. Iterating through Groups.mp4 | 21.4 MB | ||
| 7. Mac OS - Unpack Course Materials + The Startdown and Shutdown Process.mp4 | 22.2 MB | ||
| 7. Outer Joins.mp4 | 25.9 MB | ||
| 7. Set New Values for a Specific Cell or Row.mp4 | 8.9 MB | ||
| 7. Split Strings by Characters with .str.split() Method.mp4 | 17.5 MB | ||
| 7. The .between() Method.mp4 | 16.8 MB | ||
| 7. The .major_xs() Method.mp4 | 12.1 MB | ||
| 7. The .transpose() Method and MultiIndex on Column Level.mp4 | 11.9 MB | ||
| 7. Visualization.html | 102.4 B | ||
| 8. A Review of the .value_counts() Method.mp4 | 8.4 MB | ||
| 8. Create Range of Dates with the pd.date_range() Method, Part 3.mp4 | 16.3 MB | ||
| 8. Input and Output.html | 102.4 B | ||
| 8. Left Joins.mp4 | 21 MB | ||
| 8. More Practice with Splits.mp4 | 11.9 MB | ||
| 8. Set Multiple Values in DataFrame.mp4 | 20.5 MB | ||
| 8. The .duplicated() Method.mp4 | 19.6 MB | ||
| 8. The .head() and .tail() Methods.mp4 | 6.5 MB | ||
| 8. The .minor_xs() Method.mp4 | 13.6 MB | ||
| 8. The .swaplevel() Method.mp4 | 5.2 MB | ||
| 8. Windows - Download the Anaconda Distribution.mp4 | 7.6 MB | ||
| 8.1 Official pandas Documentation.html | 102.4 B | ||
| 9. Drop Rows with Null Values.mp4 | 19.2 MB | ||
| 9. Python Built-In Functions.mp4 | 9.9 MB | ||
| 9. Rename Index Labels or Columns in a DataFrame.mp4 | 13.4 MB | ||
| 9. The .drop_duplicates() Method.mp4 | 17.5 MB | ||
| 9. The .dt Accessor.mp4 | 13.7 MB | ||
| 9. The .stack() Method.mp4 | 13.2 MB | ||
| 9. The expand and n Parameters of the .str.split() Method.mp4 | 15.3 MB | ||
| 9. The left_on and right_on Parameters.mp4 | 20.2 MB | ||
| 9. Transpose a Panel with the .transpose() Method.mp4 | 15.7 MB | ||
| 9. Windows - Install Anaconda Distribution.mp4 | 15.2 MB | ||
| [FreeCourseSite.com].txt | 1.1 KB | ||
| [FreeCourseSite.com].url | 102.4 B | ||
| [HaxTech.me].txt | 1.1 KB | ||
| [HaxTech.me].url | 102.4 B | ||
| ▲ 196 total files | |||
Udemy - Data Analysis with Pandas and Python
Welcome to the most comprehensive Pandas course available on Udemy! An excellent choice for both beginners and experts looking to expand their knowledge on one of the most popular Python libraries in the world!
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