The Pandas Workshop (notice n° 75443)

détails MARC
000 -LEADER
fixed length control field 03238cam a2200301zu 4500
003 - CONTROL NUMBER IDENTIFIER
control field FRCYB88931927
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250107235929.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250108s2022 fr | o|||||0|0|||eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781800208933
035 ## - SYSTEM CONTROL NUMBER
System control number FRCYB88931927
040 ## - CATALOGING SOURCE
Original cataloging agency FR-PaCSA
Language of cataloging en
Transcribing agency
Description conventions rda
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Bateman, Blaine
245 01 - TITLE STATEMENT
Title The Pandas Workshop
Remainder of title A comprehensive guide to using Python for data analysis with real-world case studies
Statement of responsibility, etc. ['Bateman, Blaine', 'Basak, Saikat', 'Joseph, Thomas V.']
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Name of producer, publisher, distributor, manufacturer Packt Publishing
Date of production, publication, distribution, manufacture, or copyright notice 2022
300 ## - PHYSICAL DESCRIPTION
Extent p.
336 ## - CONTENT TYPE
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type code c
Source rdamdedia
338 ## - CARRIER TYPE
Carrier type code c
Source rdacarrier
520 ## - SUMMARY, ETC.
Summary, etc. Learn the fundamentals of data science with Python by analyzing real datasets and solving problems using pandasKey FeaturesLearn how to apply data retrieval, transformation, visualization, and modeling techniques using pandasBecome highly efficient in unlocking deeper insights from your data, including databases, web data, and moreBuild your experience and confidence with hands-on exercises and activitiesBook DescriptionThe Pandas Workshop will teach you how to be more productive with data and generate real business insights to inform your decision-making. You will be guided through real-world data science problems and shown how to apply key techniques in the context of realistic examples and exercises. Engaging activities will then challenge you to apply your new skills in a way that prepares you for real data science projects.You'll see how experienced data scientists tackle a wide range of problems using data analysis with pandas. Unlike other Python books, which focus on theory and spend too long on dry, technical explanations, this workshop is designed to quickly get you to write clean code and build your understanding through hands-on practice. As you work through this Python pandas book, you'll tackle various real-world scenarios, such as using an air quality dataset to understand the pattern of nitrogen dioxide emissions in a city, as well as analyzing transportation data to improve bus transportation services.By the end of this data analytics book, you'll have the knowledge, skills, and confidence you need to solve your own challenging data science problems with pandas.What you will learnAccess and load data from different sources using pandasWork with a range of data types and structures to understand your dataPerform data transformation to prepare it for analysisUse Matplotlib for data visualization to create a variety of plotsCreate data models to find relationships and test hypothesesManipulate time-series data to perform date-time calculationsOptimize your code to ensure more efficient business data analysisWho this book is forThis data analysis book is for anyone with prior experience working with the Python programming language who wants to learn the fundamentals of data analysis with pandas. Previous knowledge of pandas is not necessary.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Bateman, Blaine
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Basak, Saikat
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Joseph, Thomas V.
856 40 - ELECTRONIC LOCATION AND ACCESS
Access method Cyberlibris
Uniform Resource Identifier <a href="https://international.scholarvox.com/netsen/book/88931927">https://international.scholarvox.com/netsen/book/88931927</a>
Electronic format type text/html
Host name

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