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[DesireCourse.Net] Udemy - Data Analysis with Pandas and Python
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2021-11-4 09:34
2024-12-24 15:02
170
2.33 GB
174
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DesireCourse
Net
Udemy
-
Data
Analysis
with
Pandas
and
Python
文件列表
1. Installation and Setup/1. Introduction to the Course.mp4
34MB
1. Installation and Setup/10. Windows - Install Anaconda Distribution.mp4
15.2MB
1. Installation and Setup/11. Windows - Access the Command Prompt and Update Anaconda Libraries.mp4
19.06MB
1. Installation and Setup/12. Windows - Unpack Course Materials + The Startdown and Shutdown Process.mp4
15.47MB
1. Installation and Setup/13. Intro to the Jupyter Notebook Interface.mp4
9.31MB
1. Installation and Setup/14. Cell Types and Cell Modes.mp4
11.68MB
1. Installation and Setup/15. Code Cell Execution.mp4
8.23MB
1. Installation and Setup/16. Popular Keyboard Shortcuts.mp4
6.27MB
1. Installation and Setup/17. Import Libraries into Jupyter Notebook.mp4
11.53MB
1. Installation and Setup/18. Python Crash Course, Part 1 - Data Types and Variables.mp4
11.99MB
1. Installation and Setup/19. Python Crash Course, Part 2 - Lists.mp4
9MB
1. Installation and Setup/2. About Me.mp4
21.3MB
1. Installation and Setup/20. Python Crash Course, Part 3 - Dictionaries.mp4
7.21MB
1. Installation and Setup/21. Python Crash Course, Part 4 - Operators.mp4
7.87MB
1. Installation and Setup/22. Python Crash Course, Part 5 - Functions.mp4
10.12MB
1. Installation and Setup/4. Mac OS - Download the Anaconda Distribution.mp4
7.92MB
1. Installation and Setup/5. Mac OS - Install Anaconda Distribution.mp4
18.06MB
1. Installation and Setup/6. Mac OS - Access the Terminal.mp4
6.36MB
1. Installation and Setup/7. Mac OS - Update Anaconda Libraries.mp4
35.27MB
1. Installation and Setup/8. Mac OS - Unpack Course Materials + The Startdown and Shutdown Process.mp4
22.15MB
1. Installation and Setup/9. Windows - Download the Anaconda Distribution.mp4
7.65MB
10. Working with Dates and Times/1. Intro to the Working with Dates and Times Module.mp4
6.32MB
10. Working with Dates and Times/10. Install pandas-datareader Library.mp4
5.9MB
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
16.73MB
10. Working with Dates and Times/3. The pandas Timestamp Object.mp4
12.8MB
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
16.34MB
10. Working with Dates and Times/9. The .dt Accessor.mp4
13.68MB
11. Panels/10. Transpose a Panel with the .transpose() Method.mp4
15.74MB
11. Panels/11. The .swapaxes() Method.mp4
9.71MB
11. Panels/2. Intro to the Module + Fetch Panel Dataset from Google Finance.mp4
13.67MB
11. Panels/3. The Axes of a Panel Object.mp4
16.31MB
11. Panels/4. Panel Attributes.mp4
10.49MB
11. Panels/5. Use Bracket Notation to Extract a DataFrame from a Panel.mp4
8.25MB
11. Panels/6. Extracting with the .loc, .iloc, and .ix Methods.mp4
13.53MB
11. Panels/7. Convert Panel to a MultiIndex DataFrame (and Vice Versa).mp4
8.68MB
11. Panels/8. The .major_xs() Method.mp4
12.11MB
11. Panels/9. The .minor_xs() Method.mp4
13.62MB
12. Input and Output/1. Intro to the Input and Output Module.mp4
2.8MB
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
11.35MB
12. Input and Output/4. Export DataFrame to CSV File with the .to_csv() Method.mp4
11.36MB
12. Input and Output/5. Install xlrd and openpyxl Libraries to Read and Write Excel Files.mp4
5.99MB
12. Input and Output/6. Import Excel File into pandas.mp4
19.13MB
12. Input and Output/7. Export Excel File.mp4
17.8MB
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
12.08MB
13. Visualization/4. Bar Graphs.mp4
12.27MB
13. Visualization/5. Pie Charts.mp4
9.88MB
13. Visualization/6. Histograms.mp4
12.16MB
14. Options and Settings/1. Introduction to the Options and Settings Module.mp4
3.32MB
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
6.11MB
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/12. The inplace Parameter.mp4
9.39MB
2. Series/13. The .sort_index() Method.mp4
8.57MB
2. Series/14. Python's in Keyword.mp4
7.3MB
2. Series/15. Extract Series Values by Index Position.mp4
8.9MB
2. Series/16. Extract Series Values by Index Label.mp4
13.73MB
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/3. Create A Series Object from a Python Dictionary.mp4
5.19MB
2. Series/4. Intro to Attributes.mp4
12.85MB
2. Series/5. Intro to Methods.mp4
7.92MB
2. Series/6. Parameters and Arguments.mp4
18.29MB
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/9. Python Built-In Functions.mp4
9.88MB
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/11. The .astype() Method.mp4
23.86MB
3. DataFrames I/12. Sort a DataFrame with the .sort_values() Method, Part I.mp4
13.27MB
3. DataFrames I/13. Sort a DataFrame with the .sort_values() Method, Part II.mp4
8.84MB
3. DataFrames I/14. Sort DataFrame with the .sort_index() Method.mp4
6.56MB
3. DataFrames I/15. Rank Values with the .rank() Method.mp4
13.17MB
3. DataFrames I/2. Shared Methods and Attributes between Series and DataFrames.mp4
15.62MB
3. DataFrames I/3. Differences between Shared Methods.mp4
13.11MB
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
9.93MB
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
8.43MB
3. DataFrames I/9. Drop Rows with Null Values.mp4
19.2MB
4. DataFrames II/1. This Module's Dataset + Memory Optimization.mp4
24.45MB
4. DataFrames II/10. The .unique() and .nunique() Methods.mp4
8.19MB
4. DataFrames II/2. Filter a DataFrame Based on A Condition.mp4
27.4MB
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
12.53MB
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
16.22MB
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
15.44MB
5. DataFrames III/2. The .set_index() and .reset_index() Methods.mp4
13.19MB
5. DataFrames III/3. Retrieve Rows by Index Label with .loc[].mp4
25.87MB
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
13.39MB
6. Working with Text Data/1. Intro to the Working with Text Data Module.mp4
13.86MB
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
16MB
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
11.12MB
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
11.92MB
6. Working with Text Data/9. The expand and n Parameters of the .str.split() Method.mp4
15.3MB
7. MultiIndex/1. Intro to the MultiIndex Module.mp4
8.32MB
7. MultiIndex/10. The .unstack() Method, Part 1.mp4
8.49MB
7. MultiIndex/11. The .unstack() Method, Part 2.mp4
14.54MB
7. MultiIndex/12. The .unstack() Method, Part 3.mp4
11.96MB
7. MultiIndex/13. The .pivot() Method.mp4
12.11MB
7. MultiIndex/14. The .pivot_table() Method.mp4
22.16MB
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
16.54MB
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
13.2MB
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
10.34MB
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
22.7MB
9. Merging, Joining, and Concatenating/11. The .join() Method.mp4
6.28MB
9. Merging, Joining, and Concatenating/12. The pd.merge() Method.mp4
6.84MB
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
13.2MB
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
17.75MB
9. Merging, Joining, and Concatenating/7. Outer Joins.mp4
25.94MB
9. Merging, Joining, and Concatenating/8. Left Joins.mp4
20.99MB
9. Merging, Joining, and Concatenating/9. The left_on and right_on Parameters.mp4
20.24MB
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