Tutorialsplanet NET Udemy Build Data Analysis Library from Scratch in Python

Tutorialsplanet NET Udemy Build Data Analysis Library from Scratch in Python

Name	[Tutorialsplanet.NET] Udemy - Build a Data Analysis Library from Scratch in Python	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	6.2 GB
Total Files	116
Hash	225B1DC8D157562CFACC0AB5A20C2E1944B7ED4E

/1. Project Genesis/
1. Project Overview.mp4	152.9 MB
1. Project Overview.vtt	10.4 KB
1.1 GitHub Home Page.html	0.1 KB
2. Pandas Cub Examples.mp4	266.1 MB
2. Pandas Cub Examples.vtt	14.7 KB
3. Downloading the Material from GitHub.mp4	53.8 MB
3. Downloading the Material from GitHub.vtt	2.9 KB
/10. Pivot Tables/
1. Pivot Tables Part 1.mp4	154.2 MB
1. Pivot Tables Part 1.vtt	14.2 KB
2. Pivot Tables Part 2.mp4	83.8 MB
2. Pivot Tables Part 2.vtt	8.6 KB
3. Pivot Tables Part 3.mp4	46.5 MB
3. Pivot Tables Part 3.vtt	4.1 KB
4. Pivot Tables Part 4.mp4	109.6 MB
4. Pivot Tables Part 4.vtt	8.4 KB
5. Pivot Tables Part 5.mp4	96.4 MB
5. Pivot Tables Part 5.vtt	8.8 KB
/11. Documentation, Strings, and Reading CSVs/
1. Automatically Add Documentation.mp4	92.6 MB
1. Automatically Add Documentation.vtt	8.5 KB
2. String-only Methods.mp4	172.9 MB
2. String-only Methods.vtt	14.2 KB
3. The read_csv Function part 1.mp4	116.5 MB
3. The read_csv Function part 1.vtt	10.9 KB
4. The read_csv Function Part 2.mp4	87.8 MB
4. The read_csv Function Part 2.vtt	8.3 KB
5. Conclusion.mp4	19.3 MB
5. Conclusion.vtt	5.3 KB
/2. Environment Setup/
1. Opening the Project in VS Code.mp4	61.3 MB
1. Opening the Project in VS Code.vtt	3.4 KB
2. Setting up the Development Environment.mp4	165.2 MB
2. Setting up the Development Environment.vtt	8.9 KB
3. Test-Driven Development.mp4	146.7 MB
3. Test-Driven Development.vtt	7.7 KB
4. Installing an IPython Kernel for Jupyter.mp4	255.5 MB
4. Installing an IPython Kernel for Jupyter.vtt	13.4 KB
/3. Getting Ready to Code/
1. Inspecting the __init__.py File.mp4	116.4 MB
1. Inspecting the __init__.py File.vtt	6.2 KB
2. Importing Pandas Cub.mp4	118.9 MB
2. Importing Pandas Cub.vtt	6.6 KB
3. Manually Test in a Jupyter Notebook.mp4	156.9 MB
3. Manually Test in a Jupyter Notebook.vtt	8.8 KB
4. Getting Ready to Start.mp4	39.4 MB
4. Getting Ready to Start.vtt	2.1 KB
/4. DataFrame Construction/
1. Check DataFrame Constructor Input Types.mp4	397.7 MB
1. Check DataFrame Constructor Input Types.vtt	19.9 KB
2. Check Array Lengths.mp4	79.8 MB
2. Check Array Lengths.vtt	5.6 KB
3. Convert Unicode Arrays to Object.mp4	149.3 MB
3. Convert Unicode Arrays to Object.vtt	10.5 KB
/5. Basic Properties and Visual Representation/
1. Implementing the __len__ Special Method.mp4	120.2 MB
1. Implementing the __len__ Special Method.vtt	10.5 KB
2. Return Columns as a List.mp4	72.4 MB
2. Return Columns as a List.vtt	6.8 KB
3. Set New Column Names.mp4	133.5 MB
3. Set New Column Names.vtt	10.7 KB
4. The shape Property.mp4	45.7 MB
4. The shape Property.vtt	4.1 KB
5. Visual Notebook Representation.mp4	137.3 MB
5. Visual Notebook Representation.vtt	11.1 KB
6. The values Property.mp4	38.1 MB
6. The values Property.vtt	3.4 KB
7. The dtypes Property.mp4	120.3 MB
7. The dtypes Property.vtt	10.7 KB
/6. Subset Selection/
1. Select a Single Column.mp4	78.0 MB
1. Select a Single Column.vtt	6.0 KB
10. Create a New Column.mp4	195.7 MB
10. Create a New Column.vtt	14.8 KB
2. Select Multiple Columns.mp4	50.0 MB
2. Select Multiple Columns.vtt	4.2 KB
3. Boolean Selection.mp4	115.3 MB
3. Boolean Selection.vtt	9.9 KB
4. Check for Simultaneous Selection.mp4	111.2 MB
4. Check for Simultaneous Selection.vtt	7.7 KB
5. Select a Single Cell.mp4	120.2 MB
5. Select a Single Cell.vtt	9.3 KB
6. Select Rows as Booleans, Lists, or Slices.mp4	134.0 MB
6. Select Rows as Booleans, Lists, or Slices.vtt	10.7 KB
7. Multiple Column Simultaneous Selection.mp4	80.0 MB
7. Multiple Column Simultaneous Selection.vtt	6.4 KB
8. Column Slices.mp4	104.4 MB
8. Column Slices.vtt	8.2 KB
9. Tab Completion for Columns.mp4	30.6 MB
9. Tab Completion for Columns.vtt	4.0 KB
/7. Basic Methods/
1. head and tail Methods.mp4	35.9 MB
1. head and tail Methods.vtt	3.6 KB
2. Generic Aggregation Methods.mp4	99.7 MB
2. Generic Aggregation Methods.vtt	9.6 KB
3. The isna Method.mp4	60.5 MB
3. The isna Method.vtt	5.2 KB
4. The count Method.mp4	61.0 MB
4. The count Method.vtt	5.0 KB
5. The unique Method.mp4	65.8 MB
5. The unique Method.vtt	6.0 KB
6. The nunique Method.mp4	38.4 MB
6. The nunique Method.vtt	3.6 KB
/8. Value Counts/
1. The value_counts Method.mp4	109.0 MB
1. The value_counts Method.vtt	9.0 KB
2. Normalize value_counts.mp4	38.7 MB
2. Normalize value_counts.vtt	3.6 KB
/9. Other Methods and Operators/
1. The rename Method.mp4	51.8 MB
1. The rename Method.vtt	4.5 KB
2. The drop Method.mp4	42.6 MB
2. The drop Method.vtt	3.9 KB
3. Non-Aggregation Methods.mp4	147.7 MB
3. Non-Aggregation Methods.vtt	12.3 KB
4. The diff Method.mp4	100.8 MB
4. The diff Method.vtt	9.5 KB
5. The pct_change Method.mp4	28.6 MB
5. The pct_change Method.vtt	3.1 KB
6. Arithmetic and Comparison Operators.mp4	216.2 MB
6. Arithmetic and Comparison Operators.vtt	17.0 KB
7. The sort_values Method.mp4	129.0 MB
7. The sort_values Method.vtt	10.9 KB
8. The sample Method.mp4	137.9 MB
8. The sample Method.vtt	10.4 KB
/
[Tutorialsplanet.NET].url	0.1 KB
Total files 116