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[FreeCourseSite com] Udemy - Data Analysis with Pandas and Python
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1. Installation and Setup (Size: 2.31 GB) (Files: 196)
1. Installation and Setup
1. Introduction to the Course.mp4
1.1 pandas.zip.zip
10. Windows - Access the Command Prompt and Update Anaconda Libraries.mp4
11. Windows - Unpack Course Materials + The Startdown and Shutdown Process.mp4
12. Intro to the Jupyter Notebook Interface.mp4
13. Cell Types and Cell Modes.mp4
14. Code Cell Execution.mp4
15. Popular Keyboard Shortcuts.mp4
16. Import Libraries into Jupyter Notebook.mp4
17. Python Crash Course, Part 1 - Data Types and Variables.mp4
18. Python Crash Course, Part 2 - Lists.mp4
19. Python Crash Course, Part 3 - Dictionaries.mp4
2. Completed Course Files.html
2.1 CompletedCourseFiles.zip.zip
20. Python Crash Course, Part 4 - Operators.mp4
21. Python Crash Course, Part 5 - Functions.mp4
3. Mac OS - Download the Anaconda Distribution.mp4
4. Mac OS - Install Anaconda Distribution.mp4
5. Mac OS - Access the Terminal.mp4
6. Mac OS - Update Anaconda Libraries.mp4
7. Mac OS - Unpack Course Materials + The Startdown and Shutdown Process.mp4
8. Windows - Download the Anaconda Distribution.mp4
9. Windows - Install Anaconda Distribution.mp4
10. Working with Dates and Times
1. Intro to the Working with Dates and Times Module.mp4
10. Install pandas-datareader Library.mp4
11. Import Financial Data Set with pandas_datareader Library.mp4
12. Selecting Rows from a DataFrame with a DateTimeIndex.mp4
13. Timestamp Object Attributes.mp4
14. The .truncate() Method.mp4
15. pd.DateOffset Objects.mp4
16. More Fun with pd.DateOffset Objects.mp4
17. The pandas Timedelta Object.mp4
18. Timedeltas in a Dataset.mp4
2. Review of Python's datetime Module.mp4
3. The pandas Timestamp Object.mp4
4. The pandas DateTimeIndex Object.mp4
5. The pd.to_datetime() Method.mp4
6. Create Range of Dates with the pd.date_range() Method, Part 1.mp4
7. Create Range of Dates with the pd.date_range() Method, Part 2.mp4
8. Create Range of Dates with the pd.date_range() Method, Part 3.mp4
9. The .dt Accessor.mp4
11. Panels
1. Intro to the Module + Fetch Panel Dataset from Google Finance.mp4
10. The .swapaxes() Method.mp4
11. A Review of the Panels Module.html
2. The Axes of a Panel Object.mp4
3. Panel Attributes.mp4
4. Use Bracket Notation to Extract a DataFrame from a Panel.mp4
5. Extracting with the .loc, .iloc, and .ix Methods.mp4
6. Convert Panel to a MultiIndex DataFrame (and Vice Versa).mp4
7. The .major_xs() Method.mp4
8. The .minor_xs() Method.mp4
9. Transpose a Panel with the .transpose() Method.mp4
12. Input and Output
1. Intro to the Input and Output Module.mp4
2. Feed pd.read_csv() Method a URL Argument.mp4
3. Quick Object Conversions.mp4
4. Export DataFrame to CSV File with the .to_csv() Method.mp4
5. Install xlrd and openpyxl Libraries to Read and Write Excel Files.mp4
6. Import Excel File into pandas.mp4
7. Export Excel File.mp4
8. Input and Output.html
13. Visualization
1. Intro to Visualization Module.mp4
2. The .plot() Method.mp4
3. Modifying Aesthetics with Templates.mp4
4. Bar Graphs.mp4
5. Pie Charts.mp4
6. Histograms.mp4
7. Visualization.html
14. Options and Settings
1. Introduction to the Options and Settings Module.mp4
2. Changing pandas Options with Attributes and Dot Syntax.mp4
3. Changing pandas Options with Methods.mp4
4. The precision Option.mp4
15. Conclusion
1. Conclusion.mp4
2. Series
1. Create Jupyter Notebook for the Series Module.mp4
10. More Series Attributes.mp4
11. The .sort_values() Method.mp4
11.1 Official pandas Documentation.html
12. The inplace Parameter.mp4
13. The .sort_index() Method.mp4
13.1 Official pandas Documentation.html
14. Python's in Keyword.mp4
15. Extract Series Values by Index Position.mp4
16. Extract Series Values by Index Label.mp4
17. The .get() Method on a Series.mp4
18. Math Methods on Series Objects.mp4
19. The .idxmax() and .idxmin() Methods.mp4
2. Create A Series Object from a Python List.mp4
20. The .value_counts() Method.mp4
21. The .apply() Method.mp4
22. The .map() Method.mp4
23. A Review of the Series Module.html
3. Create A Series Object from a Python Dictionary.mp4
4. Intro to Attributes.mp4
5. Intro to Methods.mp4
6. Parameters and Arguments.mp4
7. Import Series with the .read_csv() Method.mp4
8. The .head() and .tail() Methods.mp4
8.1 Official pandas Documentation.html
9. Python Built-In Functions.mp4
3. DataFrames I
1. Intro to DataFrames I Module.mp4
10. Fill in Null Values with the .fillna() Method.mp4
10.1 Official pandas Documentation.html
11. The .astype() Method.mp4
11.1 Official pandas Documentation.html
12. Sort a DataFrame with the .sort_values() Method, Part I.mp4
12.1 Official pandas Documentation.html
13. Sort a DataFrame with the .sort_values() Method, Part II.mp4
13.1 Official pandas Documentation.html
14. Sort DataFrame with the .sort_index() Method.mp4
14.1 Official pandas Documentation.html
15. Rank Values with the .rank() Method.mp4
15.1 Official pandas Documentation.html
2. Shared Methods and Attributes between Series and DataFrames.mp4
3. Differences between Shared Methods.mp4
4. Select One Column from a DataFrame.mp4
5. Select Two or More Columns from a DataFrame.mp4
6. Add New Column to DataFrame.mp4
7. Broadcasting Operations.mp4
8. A Review of the .value_counts() Method.mp4
9. Drop Rows with Null Values.mp4
4. DataFrames II
1. This Module's Dataset + Memory Optimization.mp4
10. The .unique() and .nunique() Methods.mp4
2. Filter a DataFrame Based on A Condition.mp4
3. Filter with More than One Condition (AND - &).mp4
4. Filter with More than One Condition (OR - ).mp4
5. The .isin() Method.mp4
6. The .isnull() and .notnull() Methods.mp4
7. The .between() Method.mp4
8. The .duplicated() Method.mp4
9. The .drop_duplicates() Method.mp4
5. DataFrames III
1. Intro to the DataFrames III Module + Import Dataset.mp4
10. Delete Rows or Columns from a DataFrame.mp4
11. Create Random Sample with the .sample() Method.mp4
12. The .nsmallest() and .nlargest() Methods.mp4
13. Filtering with the .where() Method.mp4
14. The .query() Method.mp4
15. A Review of the .apply() Method on Single Columns.mp4
16. The .apply() Method with Row Values.mp4
17. The .copy() Method.mp4
2. The .set_index() and .reset_index() Methods.mp4
2.1 set_index Documentation.html
2.2 reset_index Documentation.html
3. Retrieve Rows by Index Label with .loc[].mp4
3.1 loc[] Documentation.html
4. Retrieve Rows by Index Position with .iloc[].mp4
5. The Catch-All .ix[] Method.mp4
6. Second Arguments to .loc[], .iloc[], and .ix[] Methods.mp4
7. Set New Values for a Specific Cell or Row.mp4
8. Set Multiple Values in DataFrame.mp4
9. Rename Index Labels or Columns in a DataFrame.mp4
6. Working with Text Data
1. Intro to the Working with Text Data Module.mp4
2. Common String Methods - lower, upper, title, and len.mp4
3. The .str.replace() Method.mp4
4. Filtering with String Methods.mp4
5. More String Methods - strip, lstrip, and rstrip.mp4
6. String Methods on Index and Columns.mp4
7. Split Strings by Characters with .str.split() Method.mp4
8. More Practice with Splits.mp4
9. The expand and n Parameters of the .str.split() Method.mp4
7. MultiIndex
1. Intro to the MultiIndex Module.mp4
10. The .unstack() Method, Part 1.mp4
11. The .unstack() Method, Part 2.mp4
12. The .unstack() Method, Part 3.mp4
13. The .pivot() Method.mp4
14. The .pivot_table() Method.mp4
15. The pd.melt() Method.mp4
2. Create a MultiIndex with the set_index() Method.mp4
3. The .get_level_values() Method.mp4
4. The .set_names() Method.mp4
5. The sort_index() Method.mp4
6. Extract Rows from a MultiIndex DataFrame.mp4
7. The .transpose() Method and MultiIndex on Column Level.mp4
8. The .swaplevel() Method.mp4
9. The .stack() Method.mp4
8. GroupBy
1. Intro to the Groupby Module.mp4
2. First Operations with groupby Object.mp4
3. Retrieve A Group with the .get_group() Method.mp4
4. Methods on the Groupby Object and DataFrame Columns.mp4
5. Grouping by Multiple Columns.mp4
6. The .agg() Method.mp4
7. Iterating through Groups.mp4
9. Merging, Joining, and Concatenating
1. Intro to the Merging, Joining, and Concatenating Module.mp4
10. Merging by Indexes with the left_index and right_index Parameters.mp4
11. The .join() Method.mp4
12. The pd.merge() Method.mp4
2. The pd.concat() Method, Part 1.mp4
3. The pd.concat() Method, Part 2.mp4
4. The .append() Method on a DataFrame.mp4
5. Inner Joins, Part 1.mp4
6. Inner Joins, Part 2.mp4
7. Outer Joins.mp4
8. Left Joins.mp4
9. The left_on and right_on Parameters.mp4
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