| 1. 01 Chapter 03 Outlines for Pandas.mp4 | 9.8 MB | ||
| 1. 01 Chapter 03 Outlines for Pandas.srt | 3.4 KB | ||
| 1. 01 Chapter 04 Outlines for Pandas.mp4 | 14.7 MB | ||
| 1. 01 Chapter 04 Outlines for Pandas.srt | 5.3 KB | ||
| 1. 01 Chapter 05 Outlines.mp4 | 4.4 MB | ||
| 1. 01 Chapter 05 Outlines.srt | 1.9 KB | ||
| 1. 01 Pandas Chapter 01 Outlines.mp4 | 16.1 MB | ||
| 1. 01 Pandas Chapter 01 Outlines.srt | 5.2 KB | ||
| 1. 01 Pandas Chapter 02 Outlines.mp4 | 7.8 MB | ||
| 1. 01 Pandas Chapter 02 Outlines.srt | 3 KB | ||
| 1. 01 Pandas Chapter 06 Outlines.mp4 | 7.1 MB | ||
| 1. 01 Pandas Chapter 06 Outlines.srt | 2.5 KB | ||
| 1. 01 Pandas Chapter 07 Outlines.mp4 | 6.2 MB | ||
| 1. 01 Pandas Chapter 07 Outlines.srt | 2.6 KB | ||
| 1. 01 Pandas Chapter 08 Outlines.mp4 | 9.6 MB | ||
| 1. 01 Pandas Chapter 08 Outlines.srt | 3.5 KB | ||
| 1. 01 Pandas Chapter 09 Outline.mp4 | 9.9 MB | ||
| 1. 01 Pandas Chapter 09 Outline.srt | 3.1 KB | ||
| 10. 10 Missing Data Handling in DataFrame.mp4 | 21.2 MB | ||
| 10. 10 Missing Data Handling in DataFrame.srt | 4.6 KB | ||
| 10. 10 find and rfind in Pandas.mp4 | 38.5 MB | ||
| 10. 10 find and rfind in Pandas.srt | 8.6 KB | ||
| 10. 10 head method with Series.mp4 | 19 MB | ||
| 10. 10 head method with Series.srt | 5.2 KB | ||
| 11. 11 Joining Method with DataFrame.mp4 | 28.7 MB | ||
| 11. 11 Joining Method with DataFrame.srt | 4.9 KB | ||
| 11. 11 count and len Method in Pandas.mp4 | 21.3 MB | ||
| 11. 11 count and len Method in Pandas.srt | 4.4 KB | ||
| 11. 11 tail method with Series.mp4 | 14.1 MB | ||
| 11. 11 tail method with Series.srt | 3.2 KB | ||
| 12. 12 Sorting in DataFrame.mp4 | 32.7 MB | ||
| 12. 12 Sorting in DataFrame.srt | 5.4 KB | ||
| 12. 12 describe method with Series.mp4 | 12.2 MB | ||
| 12. 12 describe method with Series.srt | 2.6 KB | ||
| 13. 13 Attributes for DataFrame.mp4 | 52.7 MB | ||
| 13. 13 Attributes for DataFrame.srt | 9.8 KB | ||
| 13. 13 info method with Series.mp4 | 11.7 MB | ||
| 13. 13 info method with Series.srt | 2.7 KB | ||
| 14. 14 Head and Tail method in DF.mp4 | 41.1 MB | ||
| 14. 14 Head and Tail method in DF.srt | 8.3 KB | ||
| 14. 14 mean method with Series.mp4 | 7.8 MB | ||
| 14. 14 mean method with Series.srt | 1.7 KB | ||
| 15. 15 Describe and Info method with DF.mp4 | 18.9 MB | ||
| 15. 15 Describe and Info method with DF.srt | 2.9 KB | ||
| 15. 15 sum method with Series.mp4 | 10.4 MB | ||
| 15. 15 sum method with Series.srt | 2.1 KB | ||
| 16. 16 sort_values method with DF.mp4 | 14 MB | ||
| 16. 16 sort_values method with DF.srt | 2.3 KB | ||
| 16. 16 unique method with Series.mp4 | 12.8 MB | ||
| 16. 16 unique method with Series.srt | 2.4 KB | ||
| 17. 17 dropna Method with DF.mp4 | 20.3 MB | ||
| 17. 17 dropna Method with DF.srt | 3.9 KB | ||
| 17. 17 value_counts method with Series.mp4 | 11 MB | ||
| 17. 17 value_counts method with Series.srt | 2.2 KB | ||
| 18. 18 fillna and merge method with DF.mp4 | 58.7 MB | ||
| 18. 18 fillna and merge method with DF.srt | 7.9 KB | ||
| 18. 18 sort_values method with Series.mp4 | 16.2 MB | ||
| 18. 18 sort_values method with Series.srt | 3.3 KB | ||
| 19. 19 apply method with DF.mp4 | 21.1 MB | ||
| 19. 19 apply method with DF.srt | 3.4 KB | ||
| 19. 19 apply method with Series.mp4 | 24.8 MB | ||
| 19. 19 apply method with Series.srt | 4.9 KB | ||
| 2. 02 Descriptive Statistics in Pandas.mp4 | 24.3 MB | ||
| 2. 02 Descriptive Statistics in Pandas.srt | 5.9 KB | ||
| 2. 02 Display Option in Pandas.mp4 | 69.1 MB | ||
| 2. 02 Display Option in Pandas.srt | 11.4 KB | ||
| 2. 02 Function Application in Pandas.mp4 | 7.6 MB | ||
| 2. 02 Function Application in Pandas.srt | 2.1 KB | ||
| 2. 02 Methods to create DataFrame.mp4 | 123.8 MB | ||
| 2. 02 Methods to create DataFrame.srt | 24.3 KB | ||
| 2. 02 Reindexing in Pandas.mp4 | 53.9 MB | ||
| 2. 02 Reindexing in Pandas.srt | 8.5 KB | ||
| 2. 02 Series Creation with 5 Methods.mp4 | 59.9 MB | ||
| 2. 02 Series Creation with 5 Methods.srt | 11.5 KB | ||
| 2. 02 Series Data Structure.mp4 | 41.2 MB | ||
| 2. 02 Series Data Structure.srt | 9.9 KB | ||
| 2. 02 What is Pandas.mp4 | 23.1 MB | ||
| 2. 02 What is Pandas.srt | 6.3 KB | ||
| 2. 02 lower and upper method.mp4 | 32.6 MB | ||
| 2. 02 lower and upper method.srt | 6.7 KB | ||
| 20. 20 Panel in Pandas.mp4 | 4.6 MB | ||
| 20. 20 Panel in Pandas.srt | 1.9 KB | ||
| 20. 20 fillna method with Series.mp4 | 11.8 MB | ||
| 20. 20 fillna method with Series.srt | 2.5 KB | ||
| 21. 21 drop method with Series.mp4 | 12.5 MB | ||
| 21. 21 drop method with Series.srt | 2.3 KB | ||
| 22. 22 concat method with Series.mp4 | 24.5 MB | ||
| 22. 22 concat method with Series.srt | 3.9 KB | ||
| 3. 03 Customizing Data Types.mp4 | 51.4 MB | ||
| 3. 03 Customizing Data Types.srt | 8.3 KB | ||
| 3. 03 DataFrame Data Strcuture.mp4 | 59.6 MB | ||
| 3. 03 DataFrame Data Strcuture.srt | 9.9 KB | ||
| 3. 03 Descriptive Methods in Pandas.mp4 | 103.5 MB | ||
| 3. 03 Descriptive Methods in Pandas.srt | 15.7 KB | ||
| 3. 03 Element Wise Application.mp4 | 56.1 MB | ||
| 3. 03 Element Wise Application.srt | 10.2 KB | ||
| 3. 03 Indexing with Series.mp4 | 83.2 MB | ||
| 3. 03 Indexing with Series.srt | 16.7 KB | ||
| 3. 03 Iteration with items method.mp4 | 22.5 MB | ||
| 3. 03 Iteration with items method.srt | 3.6 KB | ||
| 3. 03 Select Add and Delete Column.mp4 | 56.9 MB | ||
| 3. 03 Select Add and Delete Column.srt | 11.6 KB | ||
| 3. 03 Where we can use Pandas.mp4 | 20 MB | ||
| 3. 03 Where we can use Pandas.srt | 5.2 KB | ||
| 3. 03 title and capatilize method.mp4 | 20.4 MB | ||
| 3. 03 title and capatilize method.srt | 4.5 KB | ||
| 4. 04 Data Cleaning.mp4 | 13.1 MB | ||
| 4. 04 Data Cleaning.srt | 3.7 KB | ||
| 4. 04 Iteration with iterrows method.mp4 | 57.6 MB | ||
| 4. 04 Iteration with iterrows method.srt | 9.4 KB | ||
| 4. 04 Panel Data Structure.mp4 | 53.6 MB | ||
| 4. 04 Panel Data Structure.srt | 10.1 KB | ||
| 4. 04 Row or Column Wise Application.mp4 | 42.1 MB | ||
| 4. 04 Row or Column Wise Application.srt | 7.3 KB | ||
| 4. 04 Select Add Delete Row.mp4 | 58.2 MB | ||
| 4. 04 Select Add Delete Row.srt | 11.6 KB | ||
| 4. 04 Slicing with Series.mp4 | 37.3 MB | ||
| 4. 04 Slicing with Series.srt | 7.8 KB | ||
| 4. 04 What we can do with Pandas.mp4 | 14 MB | ||
| 4. 04 What we can do with Pandas.srt | 4.3 KB | ||
| 4. 04 swapecase method in Pandas.mp4 | 11.9 MB | ||
| 4. 04 swapecase method in Pandas.srt | 2.4 KB | ||
| 5. 05 Arithmetics with Series.mp4 | 40.8 MB | ||
| 5. 05 Arithmetics with Series.srt | 7.3 KB | ||
| 5. 05 Indexing and Slicing in DataFrame.mp4 | 69.5 MB | ||
| 5. 05 Indexing and Slicing in DataFrame.srt | 13 KB | ||
| 5. 05 Iteration with itertuples method.mp4 | 28.6 MB | ||
| 5. 05 Iteration with itertuples method.srt | 6.7 KB | ||
| 5. 05 Label integer and boolean based indexing.mp4 | 33.4 MB | ||
| 5. 05 Label integer and boolean based indexing.srt | 9.3 KB | ||
| 5. 05 Table wise Application.mp4 | 32.2 MB | ||
| 5. 05 Table wise Application.srt | 6.4 KB | ||
| 5. 05 strip lstrip rstrip in pandas.mp4 | 21.8 MB | ||
| 5. 05 strip lstrip rstrip in pandas.srt | 4.2 KB | ||
| 5. 06 Pandas Basic Program.mp4 | 39.1 MB | ||
| 5. 06 Pandas Basic Program.srt | 8.7 KB | ||
| 6. 06 Arithmetic Operation with DataFrame.mp4 | 24.2 MB | ||
| 6. 06 Arithmetic Operation with DataFrame.srt | 4.5 KB | ||
| 6. 06 Comparision with Series.mp4 | 34.6 MB | ||
| 6. 06 Comparision with Series.srt | 7.7 KB | ||
| 6. 06 Iteration in Pandas.mp4 | 7.4 MB | ||
| 6. 06 Iteration in Pandas.srt | 2 KB | ||
| 6. 06 Query Method in Pandas.mp4 | 66.2 MB | ||
| 6. 06 Query Method in Pandas.srt | 9.7 KB | ||
| 6. 06 join method in Pandas.mp4 | 9.7 MB | ||
| 6. 06 join method in Pandas.srt | 1.8 KB | ||
| 7. 07 Aggregation with Series.mp4 | 26.9 MB | ||
| 7. 07 Aggregation with Series.srt | 5.5 KB | ||
| 7. 07 Comparision Operations on DataFrame.mp4 | 39.4 MB | ||
| 7. 07 Comparision Operations on DataFrame.srt | 7.5 KB | ||
| 7. 07 Sort Values in Pandas.mp4 | 68.7 MB | ||
| 7. 07 Sort Values in Pandas.srt | 10.6 KB | ||
| 7. 07 replace method in Pandas.mp4 | 12.2 MB | ||
| 7. 07 replace method in Pandas.srt | 2 KB | ||
| 8. 08 Aggregation with DataFrame.mp4 | 26.1 MB | ||
| 8. 08 Aggregation with DataFrame.srt | 4.6 KB | ||
| 8. 08 Filtering with Series.mp4 | 35.8 MB | ||
| 8. 08 Filtering with Series.srt | 7.8 KB | ||
| 8. 08 Sort Index in Pandas.mp4 | 49.6 MB | ||
| 8. 08 Sort Index in Pandas.srt | 7.9 KB | ||
| 8. 08 contains method in Pandas.mp4 | 16.2 MB | ||
| 8. 08 contains method in Pandas.srt | 3.1 KB | ||
| 9. 09 All Attribues of Series.mp4 | 72.3 MB | ||
| 9. 09 All Attribues of Series.srt | 10.8 KB | ||
| 9. 09 Filtering in DataFrame.mp4 | 29.2 MB | ||
| 9. 09 Filtering in DataFrame.srt | 4.9 KB | ||
| 9. 09 nlargest and nsmallest in Pandas.mp4 | 20.2 MB | ||
| 9. 09 nlargest and nsmallest in Pandas.srt | 3.6 KB | ||
| 9. 09 startswith and endswith in Pandas.mp4 | 22.1 MB | ||
| 9. 09 startswith and endswith in Pandas.srt | 5 KB | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 172 total files | |||
The Pandas Bootcamp | Data Analysis with Pandas Python3
https://DevCourseWeb.com
Last updated 6/2023
Duration: 7h 3m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 2.6 GB
Genre: eLearning | Language: English
Master Data Analysis with Pandas Python3 - From Beginner to Advanced. Enroll in The Pandas Bootcamp today!
What you'll learn
Understand the basics of Pandas, its data structures, and how to install it.
Work with different types of data structures in Pandas.
Use descriptive and inferential statistics methods to analyze data.
Apply element-wise, row or column-wise, and table-wise function application on data.
Reindex, sort, and iterate through data using Pandas.
Use string methods for data cleaning and manipulation.
Customize display options and data types in Pandas.
Perform indexing and selecting operations based on labels, integers, or Boolean values.
Use window functions such as rolling, expanding, and ewm for data analysis.
Group data based on single or multiple columns, apply aggregation functions, and filter or transform data.
Work with categorical data, perform methods such as reorder, remove, add, and rename categories, and visualize categorical data using Pandas.
Visualize data using different types of plots such as line, bar, histogram, scatter, box, area, and heatmap.
Read and write data in different formats such as CSV, Excel, and JSON using Pandas.
Work with sparse data and understand its features.
Requirements
You should have basic knowledge of Python programming with beginner experince
You did not have to buy extra software or course
Description
Introduction to The Pandas Bootcamp | Data Analysis with Pandas Python3
The "Introduction to The
Pandas Bootcamp
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
| 1 GB | freecoursewb | 4 days | 23 | 9 | |
| 2.5 GB | freecoursewb | 4 days | 0 | 0 | |
| 3.5 GB | freecoursewb | 4 days | 28 | 10 | |
| 3.4 GB | freecoursewb | 4 days | 2 | 22 | |
| 3.4 GB | freecoursewb | 4 days | 15 | 11 |
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