Python for Everyone, 2nd Edition

DOWNLOAD NOW »

Author: Cay S. Horstmann,Rance D. Necaise

Publisher: Wiley Global Education

ISBN: 1119186676

Category: Computers

Page: 752

View: 8261

Cay Horstmann?s second edition of Python for Everyone provides a comprehensive and approachable introduction to fundamental programming techniques and design skills, and helps students master basic concepts and become competent coders. The inclusion of advanced chapters makes the text suitable for a 2 or 3-term sequence, or as a comprehensive reference to programming in Python. Major rewrites and an updated visual design make this student-friendly text even more engaging. Filled with realistic programming examples, a great quantity and variety of homework assignments, and lab exercises that build student problem-solving abilities, it is no surprise Python for Everyone is the number one text for early objects in the Python market.

Python for Everyone, Wiley High School Edition

DOWNLOAD NOW »

Author: Cay S. Horstmann

Publisher: Wiley

ISBN: 9781118829752

Category: Computers

Page: 720

View: 8846

Perfect for a beginning programming course, Python for Everyone, High School Edition is a comprehensive introduction to Python and computer programming, which focuses on the principles of programming, software engineering, and effective learning. It is designed for first course in programming. Nobody supports your desire to teach students good programming skills like Cay Horstmann and Rance Necaise. Active in both the classroom and the software industry, Horstmann and Necaise know that meticulous coding'not shortcuts'is the base upon which great programmers are made. Using an innovative visual design that leads students step-by-step through intricacies of Python programming, Python For Everyone, High School Edition instills confidence in beginning programmers and confidence leads to success.

Python for Everyone

DOWNLOAD NOW »

Author: Cay S. Horstmann,Rance D. Necaise

Publisher: Wiley

ISBN: 9781118645208

Category: Computers

Page: 744

View: 623

This text is an unbound, binder-ready edition. Python for Everyone, 1st Edition is a comprehensive introduction to Python and computer programming, which focuses on the principles of programming, software engineering, and effective learning. It is designed for a one-semester, mixed-major, first course in programming. Nobody supports your desire to teach students good programming skills like Cay Horstmann and Rance Necaise. Active in both the classroom and the software industry, Horstmann and Necaise know that meticulous coding--not shortcuts--is the base upon which great programmers are made. Using an innovative visual design that leads students step-by-step through intricacies of Python programming, Python For Everyone, 1st Edition instills confidence in beginning programmers and confidence leads to success.

Pandas for Everyone

Python Data Analysis

DOWNLOAD NOW »

Author: Daniel Y. Chen

Publisher: Addison-Wesley Professional

ISBN: 0134547055

Category: Computers

Page: 416

View: 5400

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

Machine Learning with Python for Everyone

DOWNLOAD NOW »

Author: Mark Fenner

Publisher: Addison-Wesley Professional

ISBN: 9780134845623

Category: Computers

Page: 420

View: 6341

Business analysts, managers, researchers, and students are rushing to master powerful machine learning techniques for improving decision-making and scaling analysis to immense datasets. Machine Learning with Python for Everyone brings together all they'll need to succeed: a practical understanding of the machine learning process, accessible code, skills for implementing that process with Python and the scikit-learn library, and real expertise in using learning systems intelligently. Reflecting 20 years of experience teaching non-specialists, Dr. Mark Fenner teaches through carefully-crafted datasets that are complex enough to be interesting, but simple enough for non-specialists. Building on this foundation, Fenner presents real-world case studies that apply his lessons in detailed, nuanced ways. Throughout, he offers clear narratives, practical "code-alongs," and easy-to-understand images -- focusing on mathematics only where it's necessary to make connections and deepen insight.

Programming Visual Illusions for Everyone

DOWNLOAD NOW »

Author: Marco Bertamini

Publisher: Springer

ISBN: 3319640666

Category: Technology & Engineering

Page: 221

View: 2017

If you find visual illusions fascinating Programming Visual Illusions for Everyone is a book for you. It has some background, some history and some theories about visual illusions, and it describes in some detail twelve illusions. Some are about surfaces, some are about apparent size of objects, some are about colour and some involve movement. This is only one aspect of the book. The other is to show you how you can create these effects on any computer. The book includes a brief introduction to a powerful programming language called Python. No previous experience with programming is necessary. There is also an introduction to a package called PsychoPy that makes it easy to draw on a computer screen. It is perfectly ok if you have never heard the names Python or PsychoPy before. Python is a modern and easy-to-read language, and PsychoPy takes care of all the graphical aspects of drawing on a screen and also interacting with a computer. By the way, both Python and PsychoPy are absolutely free. Is this a book about illusions or about programming? It is both!

Beginning Programming with Python For Dummies

DOWNLOAD NOW »

Author: John Paul Mueller

Publisher: John Wiley & Sons

ISBN: 1119457904

Category: Computers

Page: 408

View: 9328

The easy way to learn programming fundamentals with Python Python is a remarkably powerful and dynamic programming language that's used in a wide variety of application domains. Some of its key distinguishing features include a very clear, readable syntax, strong introspection capabilities, intuitive object orientation, and natural expression of procedural code. Plus, Python features full modularity, supporting hierarchical packages, exception-based error handling, and modules easily written in C, C++, Java, R, or .NET languages, such as C#. In addition, Python supports a number of coding styles that include: functional, imperative, object-oriented, and procedural. Due to its ease of use and flexibility, Python is constantly growing in popularity—and now you can wear your programming hat with pride and join the ranks of the pros with the help of this guide. Inside, expert author John Paul Mueller gives a complete step-by-step overview of all there is to know about Python. From performing common and advanced tasks, to collecting data, to interacting with package—this book covers it all! Use Python to create and run your first application Find out how to troubleshoot and fix errors Learn to work with Anaconda and use Magic Functions Benefit from completely updated and revised information since the last edition If you've never used Python or are new to programming in general, Beginning Programming with Python For Dummies is a helpful resource that will set you up for success.

Python for Data Analysis

Data Wrangling with Pandas, NumPy, and IPython

DOWNLOAD NOW »

Author: Wes McKinney

Publisher: "O'Reilly Media, Inc."

ISBN: 1449323618

Category: Computers

Page: 466

View: 2561

Python for Data Analysis is concerned with the nuts and bolts of manipulating, processing, cleaning, and crunching data in Python. It is also a practical, modern introduction to scientific computing in Python, tailored for data-intensive applications. This is a book about the parts of the Python language and libraries you’ll need to effectively solve a broad set of data analysis problems. This book is not an exposition on analytical methods using Python as the implementation language. Written by Wes McKinney, the main author of the pandas library, this hands-on book is packed with practical cases studies. It’s ideal for analysts new to Python and for Python programmers new to scientific computing. Use the IPython interactive shell as your primary development environment Learn basic and advanced NumPy (Numerical Python) features Get started with data analysis tools in the pandas library Use high-performance tools to load, clean, transform, merge, and reshape data Create scatter plots and static or interactive visualizations with matplotlib Apply the pandas groupby facility to slice, dice, and summarize datasets Measure data by points in time, whether it’s specific instances, fixed periods, or intervals Learn how to solve problems in web analytics, social sciences, finance, and economics, through detailed examples