Learn Python by building data science applications :: a fun, project-based guide to learning Python 3 while building real-world apps /
This book will teach Python to complete beginners through a set of 3 practical projects. Its content goes over developing a handful of scripts, performing data analysis, train machine learning models and roll them into production. We will further outline the advanced topics and direct readers to rel...
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| Main Authors: | , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Birmingham, UK :
Packt Publishing Ltd.,
[2019]
|
| Subjects: | |
| Online Access: | DE-862 DE-863 |
| Summary: | This book will teach Python to complete beginners through a set of 3 practical projects. Its content goes over developing a handful of scripts, performing data analysis, train machine learning models and roll them into production. We will further outline the advanced topics and direct readers to relevant resources. |
| Physical Description: | 1 online resource |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 1789533066 9781789533064 |
Staff View
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| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Learn Python by building data science applications: a fun, project-based guide to learning Python 3 while building real-world apps -- Contributors -- Table of Contents -- Preface -- Section 1: Getting Started with Python -- Chapter 1: Preparing the Workspace -- Chapter 2: First Steps in Coding -- Variables and Data Types -- Chapter 3: Functions -- Chapter 4: Data Structures -- Chapter 5: Loops and Other Compound Statements -- Chapter 6: First Script -- Geocoding with Web APIs -- Chapter 7: Scraping Data from the Web with Beautiful Soup 4 -- Chapter 8: Simulation with Classes and Inheritance -- Chapter 9: Shell, Git, Conda, and More -- at Your Command -- Section 2: Hands-On with Data -- Chapter 10: Python for Data Applications -- Chapter 11: Data Cleaning and Manipulation -- Chapter 12: Data Exploration and Visualization -- Chapter 13: Training a Machine Learning Model -- Chapter 14: Improving Your Model -- Pipelines and Experiments -- Section 3: Moving to Production -- Chapter 15: Packaging and Testing with Poetry and PyTest -- Chapter 16: Data Pipelines with Luigi -- Chapter 17: Let's Build a Dashboard -- Chapter 18: Serving Models with a RESTful API -- Chapter 19: Serverless API Using Chalice -- Chapter 20: Best Practices and Python Performance -- Appendix: Assessments -- Other Books You May Enjoy -- Index. | |
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| contents | Learn Python by building data science applications: a fun, project-based guide to learning Python 3 while building real-world apps -- Contributors -- Table of Contents -- Preface -- Section 1: Getting Started with Python -- Chapter 1: Preparing the Workspace -- Chapter 2: First Steps in Coding -- Variables and Data Types -- Chapter 3: Functions -- Chapter 4: Data Structures -- Chapter 5: Loops and Other Compound Statements -- Chapter 6: First Script -- Geocoding with Web APIs -- Chapter 7: Scraping Data from the Web with Beautiful Soup 4 -- Chapter 8: Simulation with Classes and Inheritance -- Chapter 9: Shell, Git, Conda, and More -- at Your Command -- Section 2: Hands-On with Data -- Chapter 10: Python for Data Applications -- Chapter 11: Data Cleaning and Manipulation -- Chapter 12: Data Exploration and Visualization -- Chapter 13: Training a Machine Learning Model -- Chapter 14: Improving Your Model -- Pipelines and Experiments -- Section 3: Moving to Production -- Chapter 15: Packaging and Testing with Poetry and PyTest -- Chapter 16: Data Pipelines with Luigi -- Chapter 17: Let's Build a Dashboard -- Chapter 18: Serving Models with a RESTful API -- Chapter 19: Serverless API Using Chalice -- Chapter 20: Best Practices and Python Performance -- Appendix: Assessments -- Other Books You May Enjoy -- Index. |
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| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
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| spelling | Kats, Philipp, author. Learn Python by building data science applications : a fun, project-based guide to learning Python 3 while building real-world apps / Philipp Kats, David Kats. Birmingham, UK : Packt Publishing Ltd., [2019] 1 online resource text txt rdacontent computer c rdamedia online resource cr rdacarrier This book will teach Python to complete beginners through a set of 3 practical projects. Its content goes over developing a handful of scripts, performing data analysis, train machine learning models and roll them into production. We will further outline the advanced topics and direct readers to relevant resources. Online resource; title from digital title page (viewed on December 06, 2019). Includes bibliographical references and index. Learn Python by building data science applications: a fun, project-based guide to learning Python 3 while building real-world apps -- Contributors -- Table of Contents -- Preface -- Section 1: Getting Started with Python -- Chapter 1: Preparing the Workspace -- Chapter 2: First Steps in Coding -- Variables and Data Types -- Chapter 3: Functions -- Chapter 4: Data Structures -- Chapter 5: Loops and Other Compound Statements -- Chapter 6: First Script -- Geocoding with Web APIs -- Chapter 7: Scraping Data from the Web with Beautiful Soup 4 -- Chapter 8: Simulation with Classes and Inheritance -- Chapter 9: Shell, Git, Conda, and More -- at Your Command -- Section 2: Hands-On with Data -- Chapter 10: Python for Data Applications -- Chapter 11: Data Cleaning and Manipulation -- Chapter 12: Data Exploration and Visualization -- Chapter 13: Training a Machine Learning Model -- Chapter 14: Improving Your Model -- Pipelines and Experiments -- Section 3: Moving to Production -- Chapter 15: Packaging and Testing with Poetry and PyTest -- Chapter 16: Data Pipelines with Luigi -- Chapter 17: Let's Build a Dashboard -- Chapter 18: Serving Models with a RESTful API -- Chapter 19: Serverless API Using Chalice -- Chapter 20: Best Practices and Python Performance -- Appendix: Assessments -- Other Books You May Enjoy -- Index. Python (Computer program language) http://id.loc.gov/authorities/subjects/sh96008834 Python (Langage de programmation) Python (Computer program language) fast Katz, David, author. has work: Learn Python by Building Data Science Applications (Text) https://id.oclc.org/worldcat/entity/E39PCYTQMYfRkVYmxwFvh9W6jC https://id.oclc.org/worldcat/ontology/hasWork Print version: Kats, Philipp. Learn Python by Building Data Science Applications : A Fun, Project-Based Guide to Learning Python 3 While Building Real-world Apps. Birmingham : Packt Publishing, Limited, ©2019 9781789535365 |
| spellingShingle | Kats, Philipp Katz, David Learn Python by building data science applications : a fun, project-based guide to learning Python 3 while building real-world apps / Learn Python by building data science applications: a fun, project-based guide to learning Python 3 while building real-world apps -- Contributors -- Table of Contents -- Preface -- Section 1: Getting Started with Python -- Chapter 1: Preparing the Workspace -- Chapter 2: First Steps in Coding -- Variables and Data Types -- Chapter 3: Functions -- Chapter 4: Data Structures -- Chapter 5: Loops and Other Compound Statements -- Chapter 6: First Script -- Geocoding with Web APIs -- Chapter 7: Scraping Data from the Web with Beautiful Soup 4 -- Chapter 8: Simulation with Classes and Inheritance -- Chapter 9: Shell, Git, Conda, and More -- at Your Command -- Section 2: Hands-On with Data -- Chapter 10: Python for Data Applications -- Chapter 11: Data Cleaning and Manipulation -- Chapter 12: Data Exploration and Visualization -- Chapter 13: Training a Machine Learning Model -- Chapter 14: Improving Your Model -- Pipelines and Experiments -- Section 3: Moving to Production -- Chapter 15: Packaging and Testing with Poetry and PyTest -- Chapter 16: Data Pipelines with Luigi -- Chapter 17: Let's Build a Dashboard -- Chapter 18: Serving Models with a RESTful API -- Chapter 19: Serverless API Using Chalice -- Chapter 20: Best Practices and Python Performance -- Appendix: Assessments -- Other Books You May Enjoy -- Index. Python (Computer program language) http://id.loc.gov/authorities/subjects/sh96008834 Python (Langage de programmation) Python (Computer program language) fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh96008834 |
| title | Learn Python by building data science applications : a fun, project-based guide to learning Python 3 while building real-world apps / |
| title_auth | Learn Python by building data science applications : a fun, project-based guide to learning Python 3 while building real-world apps / |
| title_exact_search | Learn Python by building data science applications : a fun, project-based guide to learning Python 3 while building real-world apps / |
| title_full | Learn Python by building data science applications : a fun, project-based guide to learning Python 3 while building real-world apps / Philipp Kats, David Kats. |
| title_fullStr | Learn Python by building data science applications : a fun, project-based guide to learning Python 3 while building real-world apps / Philipp Kats, David Kats. |
| title_full_unstemmed | Learn Python by building data science applications : a fun, project-based guide to learning Python 3 while building real-world apps / Philipp Kats, David Kats. |
| title_short | Learn Python by building data science applications : |
| title_sort | learn python by building data science applications a fun project based guide to learning python 3 while building real world apps |
| title_sub | a fun, project-based guide to learning Python 3 while building real-world apps / |
| topic | Python (Computer program language) http://id.loc.gov/authorities/subjects/sh96008834 Python (Langage de programmation) Python (Computer program language) fast |
| topic_facet | Python (Computer program language) Python (Langage de programmation) |
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