Download Pandas in Action, Video Edition torrent

Pandas in Action, Video Edition

Torrent:	Pandas in Action, Video Edition
Description:	Pandas in Action, Video Edition https://CourseMega.com MP4 \| Video: h264, 1280x720 \| Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning \| Language: English \| Duration: 52 Lessons (7h 34m) \| Size: 534.2 MB 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 technology Data analysis with Python doesn’t have to be hard. If you can use a spreadsheet, you can learn pandas! While its grid-style layouts may remind you of Excel, pandas is far more flexible and powerful. This Python library quickly performs operations on millions of rows, and it interfaces easily with other tools in the Python data ecosystem. It’s a perfect way to up your data game.
Downloads:	34
Category:	Other /Tutorials
Size:	1.9 GB
Show Files »	[ CourseMega.com ] Pandas in Action, Video Edition Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 01-Part 1. Core pandas.mp4 (4.6 MB) 02-Chapter 1. Introducing pandas.mp4 (57.1 MB) 03-Chapter 1. Pandas vs. graphical spreadsheet applications.mp4 (77.6 MB) 04-Chapter 1. A tour of pandas.mp4 (35.7 MB) 05-Chapter 1. Counting values in a Series.mp4 (38.7 MB) 06-Chapter 2. The Series object.mp4 (36.5 MB) 07-Chapter 2. Customizing the Series index.mp4 (31.9 MB) 08-Chapter 2. Creating a Series from Python objects.mp4 (31.4 MB) 09-Chapter 2. Mathematical operations.mp4 (45.4 MB) 10-Chapter 2. Arithmetic operations.mp4 (19.2 MB) 11-Chapter 2. Passing the Series to Python’s built-in functions.mp4 (27.0 MB) 12-Chapter 3. Series methods.mp4 (43.5 MB) 13-Chapter 3. Sorting a Series.mp4 (31.4 MB) 14-Chapter 3. Counting values with the value_counts method.mp4 (27.1 MB) 15-Chapter 3. Invoking a function on every Series value with the apply method.mp4 (36.8 MB) 16-Chapter 4. The DataFrame object.mp4 (32.4 MB) 17-Chapter 4. Shared and exclusive attributes of Series and DataFrames.mp4 (24.5 MB) 18-Chapter 4. Sorting a DataFrame.mp4 (49.2 MB) 19-Chapter 4. Selecting rows from a DataFrame.mp4 (33.3 MB) 20-Chapter 4. Extracting values from Series.mp4 (41.6 MB) 21-Chapter 5. Filtering a DataFrame.mp4 (42.6 MB) 22-Chapter 5. Filtering by a single condition.mp4 (37.6 MB) 23-Chapter 5. Filtering by condition.mp4 (41.6 MB) 24-Chapter 5. The drop_duplicates method.mp4 (59.4 MB) 25-Part 2. Applied pandas.mp4 (13.9 MB) 26-Chapter 6. Working with text data.mp4 (25.5 MB) 27-Chapter 6. String slicing.mp4 (27.5 MB) 28-Chapter 6. Splitting strings.mp4 (41.7 MB) 29-Chapter 7. MultiIndex DataFrames.mp4 (31.9 MB) 30-Chapter 7. MultiIndex DataFrames - Scaling up.mp4 (34.2 MB) 31-Chapter 7. Sorting a MultiIndex.mp4 (37.4 MB) 32-Chapter 7. Extracting one or more rows with loc.mp4 (40.2 MB) 33-Chapter 7. Manipulating the Index.mp4 (41.9 MB) 34-Chapter 8. Reshaping and pivoting.mp4 (57.2 MB) 35-Chapter 8. Additional options for pivot tables.mp4 (29.4 MB) 36-Chapter 8. Melting a data set.mp4 (45.4 MB) 37-Chapter 9. The GroupBy object.mp4 (27.4 MB) 38-Chapter 9. Attributes and methods of a GroupBy object.mp4 (47.2 MB) 39-Chapter 9. Grouping by multiple columns.mp4 (29.9 MB) 40-Chapter 10. Merging, joining, and concatenating.mp4 (46.8 MB) 41-Chapter 10. Missing values in concatenated DataFrames.mp4 (45.8 MB) 42-Chapter 10. Merging on index labels.mp4 (36.3 MB) 43-Chapter 11. Working with dates and times.mp4 (34.7 MB) 44-Chapter 11. Storing multiple timestamps in a DatetimeIndex.mp4 (37.8 MB) 45-Chapter 11. Date offsets.mp4 (34.9 MB) 46-Chapter 11. Coding challenge.mp4 (45.4 MB) 47-Chapter 12. Imports and exports.mp4 (46.4 MB) 48-Chapter 12. Exporting a DataFrame to a JSON file.mp4 (41.4 MB) 49-Chapter 12. Exporting Excel workbooks.mp4 (32.4 MB) 50-Chapter 13. Configuring pandas.mp4 (32.6 MB) 51-Chapter 13. Precision.mp4 (27.8 MB) 52-Chapter 14. Visualization.mp4 (40.6 MB) Bonus Resources.txt (0.4 KB) files
Added:	2022-03-17 10:06:30
Language:	English
Peers:	Seeders : 4 , Leechers : 16
Release name:	Pandas in Action, Video Edition
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