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[FreeCourseSite.com] Udemy - Data Analysis with Pandas and Python
大小 2.31 GB
文件数 196
Info Hash: 6A8404D24C7097CAF190EE9590A491C99E9BA88D
收录时间 2026-02-08 21:14:01
更新时间 2026-02-08 21:14:01
文件列表 (196)
1. Installation and Setup/1. Introduction to the Course.mp4
34 MB
1. Installation and Setup/1.1 pandas.zip.zip
684.75 KB
1. Installation and Setup/10. Windows - Access the Command Prompt and Update Anaconda Libraries.mp4
19.06 MB
1. Installation and Setup/11. Windows - Unpack Course Materials + The Startdown and Shutdown Process.mp4
15.47 MB
1. Installation and Setup/12. Intro to the Jupyter Notebook Interface.mp4
9.31 MB
1. Installation and Setup/13. Cell Types and Cell Modes.mp4
11.68 MB
1. Installation and Setup/14. Code Cell Execution.mp4
8.22 MB
1. Installation and Setup/15. Popular Keyboard Shortcuts.mp4
6.26 MB
1. Installation and Setup/16. Import Libraries into Jupyter Notebook.mp4
11.54 MB
1. Installation and Setup/17. Python Crash Course, Part 1 - Data Types and Variables.mp4
11.98 MB
1. Installation and Setup/18. Python Crash Course, Part 2 - Lists.mp4
9 MB
1. Installation and Setup/19. Python Crash Course, Part 3 - Dictionaries.mp4
7.2 MB
1. Installation and Setup/2. Completed Course Files.html
948 B
1. Installation and Setup/2.1 CompletedCourseFiles.zip.zip
363.34 KB
1. Installation and Setup/20. Python Crash Course, Part 4 - Operators.mp4
7.88 MB
1. Installation and Setup/21. Python Crash Course, Part 5 - Functions.mp4
10.12 MB
1. Installation and Setup/3. Mac OS - Download the Anaconda Distribution.mp4
7.93 MB
1. Installation and Setup/4. Mac OS - Install Anaconda Distribution.mp4
18.07 MB
1. Installation and Setup/5. Mac OS - Access the Terminal.mp4
6.35 MB
1. Installation and Setup/6. Mac OS - Update Anaconda Libraries.mp4
35.27 MB
1. Installation and Setup/7. Mac OS - Unpack Course Materials + The Startdown and Shutdown Process.mp4
22.15 MB
1. Installation and Setup/8. Windows - Download the Anaconda Distribution.mp4
7.65 MB
1. Installation and Setup/9. Windows - Install Anaconda Distribution.mp4
15.2 MB
10. Working with Dates and Times/1. Intro to the Working with Dates and Times Module.mp4
6.33 MB
10. Working with Dates and Times/10. Install pandas-datareader Library.mp4
5.9 MB
10. Working with Dates and Times/11. Import Financial Data Set with pandas_datareader Library.mp4
25.48 MB
10. Working with Dates and Times/12. Selecting Rows from a DataFrame with a DateTimeIndex.mp4
18.34 MB
10. Working with Dates and Times/13. Timestamp Object Attributes.mp4
19.57 MB
10. Working with Dates and Times/14. The .truncate() Method.mp4
9.04 MB
10. Working with Dates and Times/15. pd.DateOffset Objects.mp4
25.58 MB
10. Working with Dates and Times/16. More Fun with pd.DateOffset Objects.mp4
31.91 MB
10. Working with Dates and Times/17. The pandas Timedelta Object.mp4
15.41 MB
10. Working with Dates and Times/18. Timedeltas in a Dataset.mp4
19.55 MB
10. Working with Dates and Times/2. Review of Python's datetime Module.mp4
16.74 MB
10. Working with Dates and Times/3. The pandas Timestamp Object.mp4
12.81 MB
10. Working with Dates and Times/4. The pandas DateTimeIndex Object.mp4
9.65 MB
10. Working with Dates and Times/5. The pd.to_datetime() Method.mp4
22.88 MB
10. Working with Dates and Times/6. Create Range of Dates with the pd.date_range() Method, Part 1.mp4
19.68 MB
10. Working with Dates and Times/7. Create Range of Dates with the pd.date_range() Method, Part 2.mp4
18.54 MB
10. Working with Dates and Times/8. Create Range of Dates with the pd.date_range() Method, Part 3.mp4
16.33 MB
10. Working with Dates and Times/9. The .dt Accessor.mp4
13.69 MB
11. Panels/1. Intro to the Module + Fetch Panel Dataset from Google Finance.mp4
13.68 MB
11. Panels/10. The .swapaxes() Method.mp4
9.71 MB
11. Panels/11. A Review of the Panels Module.html
131 B
11. Panels/2. The Axes of a Panel Object.mp4
16.31 MB
11. Panels/3. Panel Attributes.mp4
10.5 MB
11. Panels/4. Use Bracket Notation to Extract a DataFrame from a Panel.mp4
8.25 MB
11. Panels/5. Extracting with the .loc, .iloc, and .ix Methods.mp4
13.54 MB
11. Panels/6. Convert Panel to a MultiIndex DataFrame (and Vice Versa).mp4
8.69 MB
11. Panels/7. The .major_xs() Method.mp4
12.12 MB
11. Panels/8. The .minor_xs() Method.mp4
13.62 MB
11. Panels/9. Transpose a Panel with the .transpose() Method.mp4
15.73 MB
12. Input and Output/1. Intro to the Input and Output Module.mp4
2.81 MB
12. Input and Output/2. Feed pd.read_csv() Method a URL Argument.mp4
7.61 MB
12. Input and Output/3. Quick Object Conversions.mp4
11.36 MB
12. Input and Output/4. Export DataFrame to CSV File with the .to_csv() Method.mp4
10.67 MB
12. Input and Output/5. Install xlrd and openpyxl Libraries to Read and Write Excel Files.mp4
5.98 MB
12. Input and Output/6. Import Excel File into pandas.mp4
19.13 MB
12. Input and Output/7. Export Excel File.mp4
17.8 MB
12. Input and Output/8. Input and Output.html
131 B
13. Visualization/1. Intro to Visualization Module.mp4
7.31 MB
13. Visualization/2. The .plot() Method.mp4
18.97 MB
13. Visualization/3. Modifying Aesthetics with Templates.mp4
12.09 MB
13. Visualization/4. Bar Graphs.mp4
12.27 MB
13. Visualization/5. Pie Charts.mp4
9.87 MB
13. Visualization/6. Histograms.mp4
12.17 MB
13. Visualization/7. Visualization.html
131 B
14. Options and Settings/1. Introduction to the Options and Settings Module.mp4
3.33 MB
14. Options and Settings/2. Changing pandas Options with Attributes and Dot Syntax.mp4
19.83 MB
14. Options and Settings/3. Changing pandas Options with Methods.mp4
13.92 MB
14. Options and Settings/4. The precision Option.mp4
6.1 MB
15. Conclusion/1. Conclusion.mp4
2.95 MB
2. Series/1. Create Jupyter Notebook for the Series Module.mp4
3.81 MB
2. Series/10. More Series Attributes.mp4
11.66 MB
2. Series/11. The .sort_values() Method.mp4
10.83 MB
2. Series/11.1 Official pandas Documentation.html
145 B
2. Series/12. The inplace Parameter.mp4
9.39 MB
2. Series/13. The .sort_index() Method.mp4
8.58 MB
2. Series/13.1 Official pandas Documentation.html
144 B
2. Series/14. Python's in Keyword.mp4
7.3 MB
2. Series/15. Extract Series Values by Index Position.mp4
8.9 MB
2. Series/16. Extract Series Values by Index Label.mp4
13.74 MB
2. Series/17. The .get() Method on a Series.mp4
9.56 MB
2. Series/18. Math Methods on Series Objects.mp4
10.16 MB
2. Series/19. The .idxmax() and .idxmin() Methods.mp4
5.75 MB
2. Series/2. Create A Series Object from a Python List.mp4
18.12 MB
2. Series/20. The .value_counts() Method.mp4
6.73 MB
2. Series/21. The .apply() Method.mp4
12.32 MB
2. Series/22. The .map() Method.mp4
13.09 MB
2. Series/23. A Review of the Series Module.html
131 B
2. Series/3. Create A Series Object from a Python Dictionary.mp4
5.19 MB
2. Series/4. Intro to Attributes.mp4
12.86 MB
2. Series/5. Intro to Methods.mp4
7.91 MB
2. Series/6. Parameters and Arguments.mp4
18.28 MB
2. Series/7. Import Series with the .read_csv() Method.mp4
21.14 MB
2. Series/8. The .head() and .tail() Methods.mp4
6.47 MB
2. Series/8.1 Official pandas Documentation.html
138 B
2. Series/9. Python Built-In Functions.mp4
9.87 MB
3. DataFrames I/1. Intro to DataFrames I Module.mp4
17.63 MB
3. DataFrames I/10. Fill in Null Values with the .fillna() Method.mp4
10.75 MB
3. DataFrames I/10.1 Official pandas Documentation.html
143 B
3. DataFrames I/11. The .astype() Method.mp4
23.86 MB
3. DataFrames I/11.1 Official pandas Documentation.html
143 B
3. DataFrames I/12. Sort a DataFrame with the .sort_values() Method, Part I.mp4
13.28 MB
3. DataFrames I/12.1 Official pandas Documentation.html
148 B
3. DataFrames I/13. Sort a DataFrame with the .sort_values() Method, Part II.mp4
8.83 MB
3. DataFrames I/13.1 Official pandas Documentation.html
148 B
3. DataFrames I/14. Sort DataFrame with the .sort_index() Method.mp4
6.56 MB
3. DataFrames I/14.1 Official pandas Documentation.html
147 B
3. DataFrames I/15. Rank Values with the .rank() Method.mp4
13.16 MB
3. DataFrames I/15.1 Official pandas Documentation.html
141 B
3. DataFrames I/2. Shared Methods and Attributes between Series and DataFrames.mp4
15.62 MB
3. DataFrames I/3. Differences between Shared Methods.mp4
13.1 MB
3. DataFrames I/4. Select One Column from a DataFrame.mp4
14.87 MB
3. DataFrames I/5. Select Two or More Columns from a DataFrame.mp4
9.94 MB
3. DataFrames I/6. Add New Column to DataFrame.mp4
17.23 MB
3. DataFrames I/7. Broadcasting Operations.mp4
18.23 MB
3. DataFrames I/8. A Review of the .value_counts() Method.mp4
8.42 MB
3. DataFrames I/9. Drop Rows with Null Values.mp4
19.2 MB
4. DataFrames II/1. This Module's Dataset + Memory Optimization.mp4
24.44 MB
4. DataFrames II/10. The .unique() and .nunique() Methods.mp4
8.19 MB
4. DataFrames II/2. Filter a DataFrame Based on A Condition.mp4
27.4 MB
4. DataFrames II/3. Filter with More than One Condition (AND - &).mp4
9.29 MB
4. DataFrames II/4. Filter with More than One Condition (OR - ).mp4
16.75 MB
4. DataFrames II/5. The .isin() Method.mp4
12.54 MB
4. DataFrames II/6. The .isnull() and .notnull() Methods.mp4
12.26 MB
4. DataFrames II/7. The .between() Method.mp4
16.76 MB
4. DataFrames II/8. The .duplicated() Method.mp4
19.56 MB
4. DataFrames II/9. The .drop_duplicates() Method.mp4
17.55 MB
5. DataFrames III/1. Intro to the DataFrames III Module + Import Dataset.mp4
7.67 MB
5. DataFrames III/10. Delete Rows or Columns from a DataFrame.mp4
16.21 MB
5. DataFrames III/11. Create Random Sample with the .sample() Method.mp4
9.33 MB
5. DataFrames III/12. The .nsmallest() and .nlargest() Methods.mp4
12.07 MB
5. DataFrames III/13. Filtering with the .where() Method.mp4
13.56 MB
5. DataFrames III/14. The .query() Method.mp4
19.93 MB
5. DataFrames III/15. A Review of the .apply() Method on Single Columns.mp4
11.75 MB
5. DataFrames III/16. The .apply() Method with Row Values.mp4
13.41 MB
5. DataFrames III/17. The .copy() Method.mp4
15.45 MB
5. DataFrames III/2. The .set_index() and .reset_index() Methods.mp4
13.19 MB
5. DataFrames III/2.1 set_index Documentation.html
147 B
5. DataFrames III/2.2 reset_index Documentation.html
149 B
5. DataFrames III/3. Retrieve Rows by Index Label with .loc[].mp4
25.87 MB
5. DataFrames III/3.1 loc[] Documentation.html
141 B
5. DataFrames III/4. Retrieve Rows by Index Position with .iloc[].mp4
13.31 MB
5. DataFrames III/5. The Catch-All .ix[] Method.mp4
18.56 MB
5. DataFrames III/6. Second Arguments to .loc[], .iloc[], and .ix[] Methods.mp4
12.36 MB
5. DataFrames III/7. Set New Values for a Specific Cell or Row.mp4
8.89 MB
5. DataFrames III/8. Set Multiple Values in DataFrame.mp4
20.54 MB
5. DataFrames III/9. Rename Index Labels or Columns in a DataFrame.mp4
13.4 MB
6. Working with Text Data/1. Intro to the Working with Text Data Module.mp4
13.87 MB
6. Working with Text Data/2. Common String Methods - lower, upper, title, and len.mp4
14.88 MB
6. Working with Text Data/3. The .str.replace() Method.mp4
16 MB
6. Working with Text Data/4. Filtering with String Methods.mp4
15.54 MB
6. Working with Text Data/5. More String Methods - strip, lstrip, and rstrip.mp4
9.54 MB
6. Working with Text Data/6. String Methods on Index and Columns.mp4
11.13 MB
6. Working with Text Data/7. Split Strings by Characters with .str.split() Method.mp4
17.52 MB
6. Working with Text Data/8. More Practice with Splits.mp4
11.93 MB
6. Working with Text Data/9. The expand and n Parameters of the .str.split() Method.mp4
15.3 MB
7. MultiIndex/1. Intro to the MultiIndex Module.mp4
8.33 MB
7. MultiIndex/10. The .unstack() Method, Part 1.mp4
8.48 MB
7. MultiIndex/11. The .unstack() Method, Part 2.mp4
14.53 MB
7. MultiIndex/12. The .unstack() Method, Part 3.mp4
11.97 MB
7. MultiIndex/13. The .pivot() Method.mp4
12.11 MB
7. MultiIndex/14. The .pivot_table() Method.mp4
22.17 MB
7. MultiIndex/15. The pd.melt() Method.mp4
17.26 MB
7. MultiIndex/2. Create a MultiIndex with the set_index() Method.mp4
21.05 MB
7. MultiIndex/3. The .get_level_values() Method.mp4
16.55 MB
7. MultiIndex/4. The .set_names() Method.mp4
6.09 MB
7. MultiIndex/5. The sort_index() Method.mp4
10.25 MB
7. MultiIndex/6. Extract Rows from a MultiIndex DataFrame.mp4
17.34 MB
7. MultiIndex/7. The .transpose() Method and MultiIndex on Column Level.mp4
11.92 MB
7. MultiIndex/8. The .swaplevel() Method.mp4
5.18 MB
7. MultiIndex/9. The .stack() Method.mp4
13.19 MB
8. GroupBy/1. Intro to the Groupby Module.mp4
14.29 MB
8. GroupBy/2. First Operations with groupby Object.mp4
23.08 MB
8. GroupBy/3. Retrieve A Group with the .get_group() Method.mp4
10.14 MB
8. GroupBy/4. Methods on the Groupby Object and DataFrame Columns.mp4
20.49 MB
8. GroupBy/5. Grouping by Multiple Columns.mp4
10.35 MB
8. GroupBy/6. The .agg() Method.mp4
13.18 MB
8. GroupBy/7. Iterating through Groups.mp4
21.37 MB
9. Merging, Joining, and Concatenating/1. Intro to the Merging, Joining, and Concatenating Module.mp4
11.46 MB
9. Merging, Joining, and Concatenating/10. Merging by Indexes with the left_index and right_index Parameters.mp4
22.7 MB
9. Merging, Joining, and Concatenating/11. The .join() Method.mp4
6.27 MB
9. Merging, Joining, and Concatenating/12. The pd.merge() Method.mp4
6.85 MB
9. Merging, Joining, and Concatenating/2. The pd.concat() Method, Part 1.mp4
12.56 MB
9. Merging, Joining, and Concatenating/3. The pd.concat() Method, Part 2.mp4
13.21 MB
9. Merging, Joining, and Concatenating/4. The .append() Method on a DataFrame.mp4
5.13 MB
9. Merging, Joining, and Concatenating/5. Inner Joins, Part 1.mp4
17.92 MB
9. Merging, Joining, and Concatenating/6. Inner Joins, Part 2.mp4
16.61 MB
9. Merging, Joining, and Concatenating/7. Outer Joins.mp4
25.94 MB
9. Merging, Joining, and Concatenating/8. Left Joins.mp4
21 MB
9. Merging, Joining, and Concatenating/9. The left_on and right_on Parameters.mp4
20.24 MB
[FreeCourseSite.com].txt
1.07 KB
[FreeCourseSite.com].url
127 B
[HaxTech.me].txt
1.05 KB
[HaxTech.me].url
123 B
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