[ CourseMega.Com ] Pandas In Action, Video Edition

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[ CourseMega.com ] Pandas in Action, Video Edition

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[ CourseMega.com ] Pandas in Action, Video Edition.torrent
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Uploaded on 14-03-2022 by our crawler pet called "Spidey".
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[ FreeCourseWeb.com ] Pandas in Action, Video Edition



If You Need More Stuff, kindly Visit and Support Us -->> https://FreeCourseWeb.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.



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We upload these learning materials for the people from all over the world, who have the talent and motivation to sharpen their skills/ knowledge but do not have the financial support to afford the materials. If you like this content and if you are truly in a position that you can actually buy the materials, then Please, we repeat, Please, Support Authors. They Deserve it! Because always remember, without "Them", you and we won't be here having this conversation. Think about it! Peace...



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Files in this torrent

FILENAMESIZE
~Get Your Files Here !/01-Part 1. Core pandas.mp44.6 MB
~Get Your Files Here !/02-Chapter 1. Introducing pandas.mp457.1 MB
~Get Your Files Here !/03-Chapter 1. Pandas vs. graphical spreadsheet applications.mp477.6 MB
~Get Your Files Here !/04-Chapter 1. A tour of pandas.mp435.7 MB
~Get Your Files Here !/05-Chapter 1. Counting values in a Series.mp438.7 MB
~Get Your Files Here !/06-Chapter 2. The Series object.mp436.5 MB
~Get Your Files Here !/07-Chapter 2. Customizing the Series index.mp431.9 MB
~Get Your Files Here !/08-Chapter 2. Creating a Series from Python objects.mp431.4 MB
~Get Your Files Here !/09-Chapter 2. Mathematical operations.mp445.4 MB
~Get Your Files Here !/10-Chapter 2. Arithmetic operations.mp419.2 MB
~Get Your Files Here !/11-Chapter 2. Passing the Series to Python’s built-in functions.mp427 MB
~Get Your Files Here !/12-Chapter 3. Series methods.mp443.5 MB
~Get Your Files Here !/13-Chapter 3. Sorting a Series.mp431.4 MB
~Get Your Files Here !/14-Chapter 3. Counting values with the value_counts method.mp427.1 MB
~Get Your Files Here !/15-Chapter 3. Invoking a function on every Series value with the apply method.mp436.8 MB
~Get Your Files Here !/16-Chapter 4. The DataFrame object.mp432.4 MB
~Get Your Files Here !/17-Chapter 4. Shared and exclusive attributes of Series and DataFrames.mp424.5 MB
~Get Your Files Here !/18-Chapter 4. Sorting a DataFrame.mp449.2 MB
~Get Your Files Here !/19-Chapter 4. Selecting rows from a DataFrame.mp433.3 MB
~Get Your Files Here !/20-Chapter 4. Extracting values from Series.mp441.6 MB
~Get Your Files Here !/21-Chapter 5. Filtering a DataFrame.mp442.6 MB
~Get Your Files Here !/22-Chapter 5. Filtering by a single condition.mp437.6 MB
~Get Your Files Here !/23-Chapter 5. Filtering by condition.mp441.6 MB
~Get Your Files Here !/24-Chapter 5. The drop_duplicates method.mp459.4 MB
~Get Your Files Here !/25-Part 2. Applied pandas.mp413.9 MB
~Get Your Files Here !/26-Chapter 6. Working with text data.mp425.5 MB
~Get Your Files Here !/27-Chapter 6. String slicing.mp427.5 MB
~Get Your Files Here !/28-Chapter 6. Splitting strings.mp441.7 MB
~Get Your Files Here !/29-Chapter 7. MultiIndex DataFrames.mp431.9 MB
~Get Your Files Here !/30-Chapter 7. MultiIndex DataFrames - Scaling up.mp434.2 MB
~Get Your Files Here !/31-Chapter 7. Sorting a MultiIndex.mp437.4 MB
~Get Your Files Here !/32-Chapter 7. Extracting one or more rows with loc.mp440.2 MB
~Get Your Files Here !/33-Chapter 7. Manipulating the Index.mp441.9 MB
~Get Your Files Here !/34-Chapter 8. Reshaping and pivoting.mp457.2 MB
~Get Your Files Here !/35-Chapter 8. Additional options for pivot tables.mp429.4 MB
~Get Your Files Here !/36-Chapter 8. Melting a data set.mp445.4 MB
~Get Your Files Here !/37-Chapter 9. The GroupBy object.mp427.4 MB
~Get Your Files Here !/38-Chapter 9. Attributes and methods of a GroupBy object.mp447.2 MB
~Get Your Files Here !/39-Chapter 9. Grouping by multiple columns.mp429.9 MB
~Get Your Files Here !/40-Chapter 10. Merging, joining, and concatenating.mp446.8 MB
~Get Your Files Here !/41-Chapter 10. Missing values in concatenated DataFrames.mp445.8 MB
~Get Your Files Here !/42-Chapter 10. Merging on index labels.mp436.3 MB
~Get Your Files Here !/43-Chapter 11. Working with dates and times.mp434.7 MB
~Get Your Files Here !/44-Chapter 11. Storing multiple timestamps in a DatetimeIndex.mp437.8 MB
~Get Your Files Here !/45-Chapter 11. Date offsets.mp434.9 MB
~Get Your Files Here !/46-Chapter 11. Coding challenge.mp445.4 MB
~Get Your Files Here !/47-Chapter 12. Imports and exports.mp446.4 MB
~Get Your Files Here !/48-Chapter 12. Exporting a DataFrame to a JSON file.mp441.4 MB
~Get Your Files Here !/49-Chapter 12. Exporting Excel workbooks.mp432.4 MB
~Get Your Files Here !/50-Chapter 13. Configuring pandas.mp432.6 MB
~Get Your Files Here !/51-Chapter 13. Precision.mp427.8 MB
~Get Your Files Here !/52-Chapter 14. Visualization.mp440.6 MB
~Get Your Files Here !/Bonus Resources.txt386 B

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