Python For Everybody
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Python For Everybody
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Author : Charles R. Severance
language : en
Publisher:
Release Date : 2016-04-09
Python For Everybody written by Charles R. Severance and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-09 with categories.
Python for Everybody is designed to introduce students to programming and software development through the lens of exploring data. You can think of the Python programming language as your tool to solve data problems that are beyond the capability of a spreadsheet.Python is an easy to use and easy to learn programming language that is freely available on Macintosh, Windows, or Linux computers. So once you learn Python you can use it for the rest of your career without needing to purchase any software.This book uses the Python 3 language. The earlier Python 2 version of this book is titled "Python for Informatics: Exploring Information".There are free downloadable electronic copies of this book in various formats and supporting materials for the book at www.pythonlearn.com. The course materials are available to you under a Creative Commons License so you can adapt them to teach your own Python course.
Python For Informatics
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Author : Charles Severance
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2013
Python For Informatics written by Charles Severance and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Information storage and retrieval systems categories.
This book is designed to introduce students to programming and computational thinking through the lens of exploring data. You can think of Python as your tool to solve problems that are far beyond the capability of a spreadsheet. It is an easy-to-use and easy-to learn programming language that is freely available on Windows, Macintosh, and Linux computers. There are free downloadable copies of this book in various electronic formats and a self-paced free online course where you can explore the course materials. All the supporting materials for the book are available under open and remixable licenses at the www.py4inf.com web site. This book is designed to teach people to program even if they have no prior experience. This book covers Python 2. An updated version of this book that covers Python 3 is available and is titled, "Python for Everybody: Exploring Data in Python 3".
Python For Everyone
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Author : Cay S. Horstmann
language : en
Publisher: John Wiley & Sons
Release Date : 2019-08-20
Python For Everyone written by Cay S. Horstmann and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-20 with Python categories.
Introduction -- Programming with numbers and strings -- Decsions -- Loops -- Functions -- Lists -- Files and exceptions -- Sets and dictionaries -- Objects and classes -- Inheritance -- Recursion -- Sorting and searching.
Machine Learning With Python For Everyone
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Author : Mark Fenner
language : en
Publisher: Addison-Wesley Professional
Release Date : 2019-07-30
Machine Learning With Python For Everyone written by Mark Fenner and has been published by Addison-Wesley Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-30 with Computers categories.
The Complete Beginner’s Guide to Understanding and Building Machine Learning Systems with Python Machine Learning with Python for Everyone will help you master the processes, patterns, and strategies you need to build effective learning systems, even if you’re an absolute beginner. If you can write some Python code, this book is for you, no matter how little college-level math you know. Principal instructor Mark E. Fenner relies on plain-English stories, pictures, and Python examples to communicate the ideas of machine learning. Mark begins by discussing machine learning and what it can do; introducing key mathematical and computational topics in an approachable manner; and walking you through the first steps in building, training, and evaluating learning systems. Step by step, you’ll fill out the components of a practical learning system, broaden your toolbox, and explore some of the field’s most sophisticated and exciting techniques. Whether you’re a student, analyst, scientist, or hobbyist, this guide’s insights will be applicable to every learning system you ever build or use. Understand machine learning algorithms, models, and core machine learning concepts Classify examples with classifiers, and quantify examples with regressors Realistically assess performance of machine learning systems Use feature engineering to smooth rough data into useful forms Chain multiple components into one system and tune its performance Apply machine learning techniques to images and text Connect the core concepts to neural networks and graphical models Leverage the Python scikit-learn library and other powerful tools Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
Python For Everybody
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Author : Cher Hin Chong
language : en
Publisher: Cher Hin Chong
Release Date : 2023-07-22
Python For Everybody written by Cher Hin Chong and has been published by Cher Hin Chong this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-22 with Computers categories.
Yes, Python developers are in high demand. Python software engineers are also among the highest-paid software developers today, earning an average income of $150,000 a year. The Python language is easy to learn, yet POWERFUL. YouTube, Dropbox, Google, Instagram, Spotify, Reddit, Netflix, Pinterest - they are all developed using Python. And most recently, ChatGPT is also written in Python. Learning Python opens up the possibilities of a whole new career in Machine Learning and Data Science. This book contains only the first 8 chapters of my online Python course as a Udemy instructor. The remaining chapters are available at: https://www.udemy.com/course/python-programming-tutorial-a-z/?referralCode=923195F66CF0BA283A50 Free previews of some of the videos are available at the above udemy course link. The video-based online Python course at Udemy is consistently highly rated at 4.8 out of 5 stars with an enrollment of 28,498 students and 7,261 reviews as of 12 January 2024. This course is curated by Udemy into the Udemy For Business platform where the top Udemy courses are specially selected for listing. My website is at: https://tutorialpython.net There are no prerequisites for this course. This is a foundation course in Python that does not assume any knowledge of programming. This course does not claim to teach everything, just as no other courses can ever teach you everything you need to know about Python. The main purpose of this course is to ensure students master the essential concepts of the Python language so that they will begin to LOVE the language. This course wants you to be inspired to learn Python. Come on and join me in my Python For Everybody lessons ... Cheers everyone!
Automate The Boring Stuff With Python 2nd Edition
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Author : Al Sweigart
language : en
Publisher: No Starch Press
Release Date : 2019-11-12
Automate The Boring Stuff With Python 2nd Edition written by Al Sweigart and has been published by No Starch Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-12 with Computers categories.
Learn how to code while you write programs that effortlessly perform useful feats of automation! The second edition of this international fan favorite includes a brand-new chapter on input validation, Gmail and Google Sheets automations, tips for updating CSV files, and more. If you've ever spent hours renaming files or updating spreadsheet cells, you know how tedious tasks like these can be. But what if you could have your computer do them for you? Automate the Boring Stuff with Python, 2nd Edition teaches even the technically uninclined how to write programs that do in minutes what would take hours to do by hand—no prior coding experience required! This new, fully revised edition of Al Sweigart’s bestselling Pythonic classic, Automate the Boring Stuff with Python, covers all the basics of Python 3 while exploring its rich library of modules for performing specific tasks, like scraping data off the Web, filling out forms, renaming files, organizing folders, sending email responses, and merging, splitting, or encrypting PDFs. There’s also a brand-new chapter on input validation, tutorials on automating Gmail and Google Sheets, tips on automatically updating CSV files, and other recent feats of automations that improve your efficiency. Detailed, step-by-step instructions walk you through each program, allowing you to create useful tools as you build out your programming skills, and updated practice projects at the end of each chapter challenge you to improve those programs and use your newfound skills to automate similar tasks. Boring tasks no longer have to take to get through—and neither does learning Python!
Pandas For Everyone
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Author : Daniel Y. Chen
language : en
Publisher: Addison-Wesley Professional
Release Date : 2017-12-15
Pandas For Everyone written by Daniel Y. Chen and has been published by Addison-Wesley Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-15 with Computers categories.
The Hands-On, Example-Rich Introduction to Pandas Data Analysis in Python Today, analysts must manage data characterized by extraordinary variety, velocity, and volume. Using the open source Pandas library, you can use Python to rapidly automate and perform virtually any data analysis task, no matter how large or complex. Pandas can help you ensure the veracity of your data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. Pandas for Everyone brings together practical knowledge and insight for solving real problems with Pandas, even if you’re new to Python data analysis. Daniel Y. Chen introduces key concepts through simple but practical examples, incrementally building on them to solve more difficult, real-world problems. Chen gives you a jumpstart on using Pandas with a realistic dataset and covers combining datasets, handling missing data, and structuring datasets for easier analysis and visualization. He demonstrates powerful data cleaning techniques, from basic string manipulation to applying functions simultaneously across dataframes. Once your data is ready, Chen guides you through fitting models for prediction, clustering, inference, and exploration. He provides tips on performance and scalability, and introduces you to the wider Python data analysis ecosystem. Work with DataFrames and Series, and import or export data Create plots with matplotlib, seaborn, and pandas Combine datasets and handle missing data Reshape, tidy, and clean datasets so they’re easier to work with Convert data types and manipulate text strings Apply functions to scale data manipulations Aggregate, transform, and filter large datasets with groupby Leverage Pandas’ advanced date and time capabilities Fit linear models using statsmodels and scikit-learn libraries Use generalized linear modeling to fit models with different response variables Compare multiple models to select the “best” Regularize to overcome overfitting and improve performance Use clustering in unsupervised machine learning
Python For Everybody Exploring Data Using Python 3
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Author :
language : en
Publisher:
Release Date : 2009
Python For Everybody Exploring Data Using Python 3 written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with categories.
Learning Python
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Author : Mark Lutz
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2013-06-12
Learning Python written by Mark Lutz and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-12 with Computers categories.
Get a comprehensive, in-depth introduction to the core Python language with this hands-on book. Based on author Mark Lutz’s popular training course, this updated fifth edition will help you quickly write efficient, high-quality code with Python. It’s an ideal way to begin, whether you’re new to programming or a professional developer versed in other languages. Complete with quizzes, exercises, and helpful illustrations, this easy-to-follow, self-paced tutorial gets you started with both Python 2.7 and 3.3— the latest releases in the 3.X and 2.X lines—plus all other releases in common use today. You’ll also learn some advanced language features that recently have become more common in Python code. Explore Python’s major built-in object types such as numbers, lists, and dictionaries Create and process objects with Python statements, and learn Python’s general syntax model Use functions to avoid code redundancy and package code for reuse Organize statements, functions, and other tools into larger components with modules Dive into classes: Python’s object-oriented programming tool for structuring code Write large programs with Python’s exception-handling model and development tools Learn advanced Python tools, including decorators, descriptors, metaclasses, and Unicode processing
A Smarter Way To Learn Python
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Author : Mark Myers
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2017-08-09
A Smarter Way To Learn Python written by Mark Myers and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-09 with Python (Computer program language) categories.
I designed a learning system for myself that quadrupled my aptitude for learning computer languages. It worked so well for me that I've used it to teach coding to grandmothers, cab drivers, musicians, and 50,000 other newbies. Washington University research shows that a key teaching method I use--interactive recall practice--improves learning performance 400 percent. Computer languages are not inherently hard to understand, even for non-techies. Remembering is the problem. Research shows that you will remember everything if you're repeatedly asked to recall it. That's the beauty of flash cards. But technology offers an even better way to make information stick. With my book you get almost a thousand interactive exercises--they're free online--that embed the whole book in your memory. Algorithms check your work to make sure you know what you think you know. When you stumble, you do the exercise again. You keep trying until you know the chapter cold. The exercises keep you engaged, give you extra practice where you're shaky, and prepare you for each next step. Every lesson is built on top of a solid foundation that you and I have carefully constructed. Each individual step is small. But all the little steps add up to real knowledge--knowledge that you retain. You don't need to be a computer genius to learn Python. You just need to be smart about how you learn it.--Amazon.com description.