Pandas in Action, Video Edition

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Pandas in Action, Video Edition [TutsNode.com] - Pandas in Action, Video Edition
  • 03-Chapter 1. Pandas vs. graphical spreadsheet applications.mp4 (77.6 MB)
  • 24-Chapter 5. The drop_duplicates method.mp4 (59.4 MB)
  • 34-Chapter 8. Reshaping and pivoting.mp4 (57.2 MB)
  • 02-Chapter 1. Introducing pandas.mp4 (57.1 MB)
  • 18-Chapter 4. Sorting a DataFrame.mp4 (49.2 MB)
  • 38-Chapter 9. Attributes and methods of a GroupBy object.mp4 (47.2 MB)
  • 40-Chapter 10. Merging, joining, and concatenating.mp4 (46.8 MB)
  • 47-Chapter 12. Imports and exports.mp4 (46.4 MB)
  • 41-Chapter 10. Missing values in concatenated DataFrames.mp4 (45.8 MB)
  • 46-Chapter 11. Coding challenge.mp4 (45.4 MB)
  • 09-Chapter 2. Mathematical operations.mp4 (45.4 MB)
  • 36-Chapter 8. Melting a data set.mp4 (45.4 MB)
  • 12-Chapter 3. Series methods.mp4 (43.5 MB)
  • 21-Chapter 5. Filtering a DataFrame.mp4 (42.6 MB)
  • 33-Chapter 7. Manipulating the Index.mp4 (41.9 MB)
  • 28-Chapter 6. Splitting strings.mp4 (41.7 MB)
  • 20-Chapter 4. Extracting values from Series.mp4 (41.6 MB)
  • 23-Chapter 5. Filtering by condition.mp4 (41.6 MB)
  • 48-Chapter 12. Exporting a DataFrame to a JSON file.mp4 (41.4 MB)
  • 52-Chapter 14. Visualization.mp4 (40.6 MB)
  • 32-Chapter 7. Extracting one or more rows with loc.mp4 (40.2 MB)
  • 05-Chapter 1. Counting values in a Series.mp4 (38.7 MB)
  • 44-Chapter 11. Storing multiple timestamps in a DatetimeIndex.mp4 (37.8 MB)
  • 22-Chapter 5. Filtering by a single condition.mp4 (37.6 MB)
  • 31-Chapter 7. Sorting a MultiIndex.mp4 (37.4 MB)
  • 15-Chapter 3. Invoking a function on every Series value with the apply method.mp4 (36.8 MB)
  • 06-Chapter 2. The Series object.mp4 (36.5 MB)
  • 42-Chapter 10. Merging on index labels.mp4 (36.3 MB)
  • 04-Chapter 1. A tour of pandas.mp4 (35.7 MB)
  • 45-Chapter 11. Date offsets.mp4 (34.9 MB)
  • 43-Chapter 11. Working with dates and times.mp4 (34.7 MB)
  • 30-Chapter 7. MultiIndex DataFrames - Scaling up.mp4 (34.2 MB)
  • 19-Chapter 4. Selecting rows from a DataFrame.mp4 (33.3 MB)
  • 50-Chapter 13. Configuring pandas.mp4 (32.6 MB)
  • 49-Chapter 12. Exporting Excel workbooks.mp4 (32.4 MB)
  • 16-Chapter 4. The DataFrame object.mp4 (32.4 MB)
  • 07-Chapter 2. Customizing the Series index.mp4 (31.9 MB)
  • 29-Chapter 7. MultiIndex DataFrames.mp4 (31.9 MB)
  • 13-Chapter 3. Sorting a Series.mp4 (31.4 MB)
  • 08-Chapter 2. Creating a Series from Python objects.mp4 (31.4 MB)
  • 39-Chapter 9. Grouping by multiple columns.mp4 (29.9 MB)
  • 35-Chapter 8. Additional options for pivot tables.mp4 (29.4 MB)
  • 51-Chapter 13. Precision.mp4 (27.8 MB)
  • 27-Chapter 6. String slicing.mp4 (27.5 MB)
  • 37-Chapter 9. The GroupBy object.mp4 (27.4 MB)
  • 14-Chapter 3. Counting values with the value_counts method.mp4 (27.1 MB)
  • 11-Chapter 2. Passing the Series to Python’s built-in functions.mp4 (27.0 MB)
  • 26-Chapter 6. Working with text data.mp4 (25.5 MB)
  • 17-Chapter 4. Shared and exclusive attributes of Series and DataFrames.mp4 (24.5 MB)
  • 10-Chapter 2. Arithmetic operations.mp4 (19.2 MB)
  • 25-Part 2. Applied pandas.mp4 (13.9 MB)
  • 01-Part 1. Core pandas.mp4 (4.6 MB)
  • TutsNode.com.txt (0.1 KB)
  • [TGx]Downloaded from torrentgalaxy.to .txt (0.6 KB)
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Description


Description

Take the next steps in your data science career! This friendly and hands-on guide shows you how to start mastering Pandas with skills you already know from spreadsheet software.
In Pandas in Action you will learn

Import datasets, identify issues with their data structures, and optimize them for efficiency
Sort, filter, pivot, and draw conclusions from a dataset and its subsets
Identify trends from text-based and time-based data
Organize, group, merge, and join separate datasets
Use a GroupBy object to store multiple DataFrames
Pandas has rapidly become one of Python’s most popular data analysis libraries. In Pandas in Action, a friendly and example-rich introduction, author Boris Paskhaver shows you how to master this versatile tool and take the next steps in your data science career. You’ll learn how easy Pandas makes it to efficiently sort, analyze, filter and munge almost any type of data.

about the audience

For readers experienced with spreadsheets and basic Python programming.

Published 9/2021



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Pandas in Action, Video Edition

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1.9 GB
seeders:25
leechers:8
Pandas in Action, Video Edition

Torrent hash: FD1B7D5E6880AE71F753055BC1ED76B56DDDE6C3