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230921s2023 enka o 000 0 eng d |
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|a YDX
|b eng
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|d ORMDA
|d UKMGB
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|a GBC3H4741
|2 bnb
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|a 021207693
|2 Uk
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|a 9781804614969
|q (electronic bk.)
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|a 1804614963
|q (electronic bk.)
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|z 1803246766
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|z 9781803246765
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|a UKMGB
|b 021207693
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|a (OCoLC)1398278912
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|a 9781803246765
|b O'Reilly Media
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|a QA76.73.P98
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|a 005.13/3
|2 23/eng/20230926
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|a UAMI
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100 |
1 |
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|a Lott, Steven F.,
|e author.
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1 |
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|a PYTHON REAL-WORLD PROJECTS
|h [electronic resource] :
|b crafting your Python portfolio with deployable applications /
|c Steven F. Lott.
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250 |
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|a 1st edition.
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260 |
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|a Birmingham, UK :
|b Packt Publishing Ltd.,
|c 2023.
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300 |
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|a 1 online resource :
|b illustrations
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336 |
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|a text
|2 rdacontent
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337 |
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|a computer
|2 rdamedia
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338 |
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|a online resource
|2 rdacarrier
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|a Includes index.
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520 |
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|a In today's competitive job market, a project portfolio often outshines a traditional resume. Python Real-World Projects empowers you to get to grips with crucial Python concepts while building complete modules and applications. With two dozen meticulously designed projects to explore, this book will help you showcase your Python mastery and refine your skills. Tailored for beginners with a foundational understanding of class definitions, module creation, and Python's inherent data structures, this book is your gateway to programming excellence. You’ll learn how to harness the potential of the standard library and key external projects like JupyterLab, Pydantic, pytest, and requests. You’ll also gain experience with enterprise-oriented methodologies, including unit and acceptance testing, and an agile development approach. Additionally, you’ll dive into the software development lifecycle, starting with a minimum viable product and seamlessly expanding it to add innovative features. By the end of this book, you’ll be armed with a myriad of practical Python projects and all set to accelerate your career as a Python programmer.
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505 |
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|a Table of ContentsProject Zero -- Template for other projectsOverview of the Projects -- Extract, Transform, and LoadProject 1.1 -- Data Acquisition Base ApplicationData Acquisition Features -- Web API and ScrapingData Acquisition Features -- SQL DatabaseProject 2.1 -- Data Inspection NotebookData Inspection FeaturesSchema and MetadataProject 3.1 -- Data Cleaning Base ApplicationData Cleaning FeaturesProject 3.7 -- Interim Data PersistenceProject 3.8 -- Integrated Data Acquisition Web ServiceProject 4.1 -- Visual Analysis TechniquesProject 4.2 -- Creating ReportsProject 5.1 -- Modeling Base ApplicationProject 5.2 -- Central TendencyProject 5.3 -- Simple Multivariate Statistics.
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590 |
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|a O'Reilly
|b O'Reilly Online Learning: Academic/Public Library Edition
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650 |
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|a Python (Computer program language)
|v Study guides.
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650 |
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|a Computer programming
|v Study guides.
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776 |
0 |
8 |
|i Print version:
|z 1803246766
|z 9781803246765
|w (OCoLC)1393243047
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856 |
4 |
0 |
|u https://learning.oreilly.com/library/view/~/9781803246765/?ar
|z Texto completo (Requiere registro previo con correo institucional)
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938 |
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|a YBP Library Services
|b YANK
|n 20497918
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994 |
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|a 92
|b IZTAP
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