Name [FreeCourseSite.com] Udemy - Data Analysis with Pandas and Python

File Type video

Size 2.31GB

UpdateDate 2024-9-24

hash *****4D24C7097CAF190EE9590A491C99E9BA88

Hot 5

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