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Building a StoryBrand: Clarify Your Message So Customers Will Listen

By Donald Miller

HarperCollins
Released: 2017-10-10
Hardcover (240 pages)

Building a StoryBrand: Clarify Your Message So Customers Will Listen
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New York Times bestselling author Donald Miller uses the seven universal elements of powerful stories to teach readers how to dramatically improve how they connect with customers and grow their businesses.

Donald Miller’s StoryBrand process is a proven solution to the struggle business leaders face when talking about their businesses. This revolutionary method for connecting with customers provides readers with the ultimate competitive advantage, revealing the secret for helping their customers understand the compelling benefits of using their products, ideas, or services. Building a StoryBrand does this by teaching readers the seven universal story points all humans respond to; the real reason customers make purchases; how to simplify a brand message so people understand it; and how to create the most effective messaging for websites, brochures, and social media. Whether you are the marketing director of a multibillion dollar company, the owner of a small business, a politician running for office, or the lead singer of a rock band, Building a StoryBrand will forever transform the way you talk about who you are, what you do, and the unique value you bring to your customers.

Python Crash Course: A Hands-On, Project-Based Introduction to Programming

By Eric Matthes

No Starch Press
Released: 2015-11-01
Paperback (560 pages)

Python Crash Course: A Hands-On, Project-Based Introduction to Programming
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  • No Starch Press
Product Description:
Python Crash Course is a fast-paced, thorough introduction to Python that will have you writing programs, solving problems, and making things that work in no time.

In the first half of the book, you’ll learn about basic programming concepts, such as lists, dictionaries, classes, and loops, and practice writing clean and readable code with exercises for each topic. You’ll also learn how to make your programs interactive and how to test your code safely before adding it to a project. In the second half of the book, you’ll put your new knowledge into practice with three substantial projects: a Space Invaders–inspired arcade game, data visualizations with Python’s super-handy libraries, and a simple web app you can deploy online.

As you work through Python Crash Course you’ll learn how to:
–Use powerful Python libraries and tools, including matplotlib, NumPy, and Pygal
–Make 2D games that respond to keypresses and mouse clicks, and that grow more difficult as the game progresses
–Work with data to generate interactive visualizations
–Create and customize Web apps and deploy them safely online
–Deal with mistakes and errors so you can solve your own programming problems


If you’ve been thinking seriously about digging into programming, Python Crash Course will get you up to speed and have you writing real programs fast. Why wait any longer? Start your engines and code!

Uses Python 2 and 3

Crushing It!: How Great Entrepreneurs Build Their Business and Influence-and How You Can, Too

By Gary Vaynerchuk

HarperBusiness
Released: 2018-01-30
Hardcover (288 pages)

Crushing It!: How Great Entrepreneurs Build Their Business and Influence-and How You Can, Too
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Four-time New York Times bestselling author Gary Vaynerchuk offers new lessons and inspiration drawn from the experiences of dozens of influencers and entrepreneurs who rejected the predictable corporate path in favor of pursuing their dreams by building thriving businesses and extraordinary personal brands.

In his 2009 international bestseller Crush It, Gary insisted that a vibrant personal brand was crucial to entrepreneurial success, In Crushing It!, Gary explains why that’s even more true today, offering his unique perspective on what has changed and what principles remain timeless. He also shares stories from other entrepreneurs who have grown wealthier—and not just financially—than they ever imagined possible by following Crush It principles. The secret to their success (and Gary’s) has everything to do with their understanding of the social media platforms, and their willingness to do whatever it took to make these tools work to their utmost potential. That’s what Crushing It! teaches readers to do.

In this lively, practical, and inspiring book, Gary dissects every current major social media platform so that anyone, from a plumber to a professional ice skater, will know exactly how to amplify his or her personal brand on each. He offers both theoretical and tactical advice on how to become the biggest thing on old standbys like Twitter, Facebook, YouTube, Instagram, Pinterest, and Snapchat; podcast platforms like Spotify, Soundcloud, iHeartRadio, and iTunes; and other emerging platforms such as Musical.ly. For those with more experience, Crushing It! illuminates some little-known nuances and provides innovative tips and clever tweaks proven to enhance more common tried-and-true strategies.

Crushing It! is a state-of-the-art guide to building your own path to professional and financial success, but it’s not about getting rich. It’s a blueprint to living life on your own terms.

Web Design with HTML, CSS, JavaScript and jQuery Set

By Jon Duckett

Wiley
Paperback (1152 pages)

Web Design with HTML, CSS, JavaScript and jQuery Set
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Product Description:
A two-book set for web designers and front-end developers

This two-book set combines the titles HTML & CSS: Designing and Building Web Sites and JavaScript & jQuery: Interactive Front-End Development. Together these two books form an ideal platform for anyone who wants to master HTML and CSS before stepping up to JavaScript and jQuery.

HTML & CSS covers structure, text, links, images, tables, forms, useful options, adding style with CSS, fonts, colors, thinking in boxes, styling lists and tables, layouts, grids, and even SEO, Google analytics, ftp, and HTML5. JavaScript & jQuery offers an excellent combined introduction to these two technologies using a clear and simple visual approach using diagrams, infographics, and photographs.

  • A handy two-book set that uniquely combines related technologies
  • Highly visual format and accessible language makes these books highly effective learning tools
  • Perfect for beginning web designers and front-end developers

The Design of Everyday Things: Revised and Expanded Edition

By Don Norman

Basic Books AZ
Released: 2013-11-05
Paperback (368 pages)

The Design of Everyday Things: Revised and Expanded Edition
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  • Basic Books AZ
Product Description:
The ultimate guide to human-centered design

Even the smartest among us can feel inept as we fail to figure out which light switch or oven burner to turn on, or whether to push, pull, or slide a door. The fault, argues this ingenious-even liberating-book, lies not in ourselves, but in product design that ignores the needs of users and the principles of cognitive psychology. The problems range from ambiguous and hidden controls to arbitrary relationships between controls and functions, coupled with a lack of feedback or other assistance and unreasonable demands on memorization.

The Design of Everyday Things shows that good, usable design is possible. The rules are simple: make things visible, exploit natural relationships that couple function and control, and make intelligent use of constraints. The goal: guide the user effortlessly to the right action on the right control at the right time.

The Design of Everyday Things is a powerful primer on how--and why--some products satisfy customers while others only frustrate them.

Automate the Boring Stuff with Python: Practical Programming for Total Beginners

By Al Sweigart

No Starch Press
Released: 2015-04-14
Paperback (504 pages)

Automate the Boring Stuff with Python: Practical Programming for Total Beginners
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If you’ve ever spent hours renaming files or updating hundreds of spreadsheet cells, you know how tedious tasks like these can be. But what if you could have your computer do them for you?

In Automate the Boring Stuff with Python, you’ll learn how to use Python to write programs that do in minutes what would take you hours to do by hand—no prior programming experience required. Once you’ve mastered the basics of programming, you’ll create Python programs that effortlessly perform useful and impressive feats of automation to:
–Search for text in a file or across multiple files
–Create, update, move, and rename files and folders
–Search the Web and download online content
–Update and format data in Excel spreadsheets of any size
–Split, merge, watermark, and encrypt PDFs
–Send reminder emails and text notifications
–Fill out online forms

Step-by-step instructions walk you through each program, and practice projects at the end of each chapter challenge you to improve those programs and use your newfound skills to automate similar tasks.

Don’t spend your time doing work a well-trained monkey could do. Even if you’ve never written a line of code, you can make your computer do the grunt work. Learn how in Automate the Boring Stuff with Python.

Note: The programs in this book are written to run on Python 3.

Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython

By Wes McKinney

O'Reilly Media
Paperback (544 pages)

Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
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  • Python for Data Analysis
  • 978-1491957660
  • Data Analysis
Product Description:

Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You’ll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process.

Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It’s ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub.

  • Use the IPython shell and Jupyter notebook for exploratory computing
  • Learn basic and advanced features in NumPy (Numerical Python)
  • Get started with data analysis tools in the pandas library
  • Use flexible tools to load, clean, transform, merge, and reshape data
  • Create informative visualizations with matplotlib
  • Apply the pandas groupby facility to slice, dice, and summarize datasets
  • Analyze and manipulate regular and irregular time series data
  • Learn how to solve real-world data analysis problems with thorough, detailed examples

Don't Make Me Think, Revisited: A Common Sense Approach to Web Usability (3rd Edition) (Voices That Matter)

By Steve Krug

New Riders Publishing
Paperback (216 pages)

Don t Make Me Think, Revisited: A Common Sense Approach to Web Usability (3rd Edition) (Voices That Matter)
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Since Don’t Make Me Think was first published in 2000, hundreds of thousands of Web designers and developers have relied on usability guru Steve Krug’s guide to help them understand the principles of intuitive navigation and information design. Witty, commonsensical, and eminently practical, it’s one of the best-loved and most recommended books on the subject.

Now Steve returns with fresh perspective to reexamine the principles that made Don’t Make Me Think a classic–with updated examples and a new chapter on mobile usability. And it’s still short, profusely illustrated…and best of all–fun to read.

If you’ve read it before, you’ll rediscover what made Don’t Make Me Think so essential to Web designers and developers around the world. If you’ve never read it, you’ll see why so many people have said it should be required reading for anyone working on Web sites.


“After reading it over a couple of hours and putting its ideas to work for the past five years, I can say it has done more to improve my abilities as a Web designer than any other book.”
–Jeffrey Zeldman, author of Designing with Web Standards

 

Deep Learning with Python

By Francois Chollet

Manning Publications
Paperback (384 pages)

Deep Learning with Python
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Summary

Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

About the Technology

Machine learning has made remarkable progress in recent years. We went from near-unusable speech and image recognition, to near-human accuracy. We went from machines that couldn't beat a serious Go player, to defeating a world champion. Behind this progress is deep learning—a combination of engineering advances, best practices, and theory that enables a wealth of previously impossible smart applications.

About the Book

Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples. You'll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you'll have the knowledge and hands-on skills to apply deep learning in your own projects.

What's Inside

  • Deep learning from first principles
  • Setting up your own deep-learning environment
  • Image-classification models
  • Deep learning for text and sequences
  • Neural style transfer, text generation, and image generation

About the Reader

Readers need intermediate Python skills. No previous experience with Keras, TensorFlow, or machine learning is required.

About the Author

François Chollet works on deep learning at Google in Mountain View, CA. He is the creator of the Keras deep-learning library, as well as a contributor to the TensorFlow machine-learning framework. He also does deep-learning research, with a focus on computer vision and the application of machine learning to formal reasoning. His papers have been published at major conferences in the field, including the Conference on Computer Vision and Pattern Recognition (CVPR), the Conference and Workshop on Neural Information Processing Systems (NIPS), the International Conference on Learning Representations (ICLR), and others.

Table of Contents

    PART 1 - FUNDAMENTALS OF DEEP LEARNING

  1. What is deep learning?
  2. Before we begin: the mathematical building blocks of neural networks
  3. Getting started with neural networks
  4. Fundamentals of machine learning
  5. PART 2 - DEEP LEARNING IN PRACTICE

  6. Deep learning for computer vision
  7. Deep learning for text and sequences
  8. Advanced deep-learning best practices
  9. Generative deep learning
  10. Conclusions
  11. appendix A - Installing Keras and its dependencies on Ubuntu
  12. appendix B - Running Jupyter notebooks on an EC2 GPU instance

Grokking Algorithms: An illustrated guide for programmers and other curious people

By Aditya Bhargava

Manning Publications
Paperback (256 pages)

Grokking Algorithms: An illustrated guide for programmers and other curious people
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Summary

Grokking Algorithms is a fully illustrated, friendly guide that teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression and artificial intelligence. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python.

Learning about algorithms doesn't have to be boring! Get a sneak peek at the fun, illustrated, and friendly examples you'll find in Grokking Algorithms on Manning Publications' YouTube channel.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

About the Technology

An algorithm is nothing more than a step-by-step procedure for solving a problem. The algorithms you'll use most often as a programmer have already been discovered, tested, and proven. If you want to understand them but refuse to slog through dense multipage proofs, this is the book for you. This fully illustrated and engaging guide makes it easy to learn how to use the most important algorithms effectively in your own programs.

About the Book

Grokking Algorithms is a friendly take on this core computer science topic. In it, you'll learn how to apply common algorithms to the practical programming problems you face every day. You'll start with tasks like sorting and searching. As you build up your skills, you'll tackle more complex problems like data compression and artificial intelligence. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python. By the end of this book, you will have mastered widely applicable algorithms as well as how and when to use them.

What's Inside

  • Covers search, sort, and graph algorithms
  • Over 400 pictures with detailed walkthroughs
  • Performance trade-offs between algorithms
  • Python-based code samples

About the Reader

This easy-to-read, picture-heavy introduction is suitable for self-taught programmers, engineers, or anyone who wants to brush up on algorithms.

About the Author

Aditya Bhargava is a Software Engineer with a dual background in Computer Science and Fine Arts. He blogs on programming at adit.io.

Table of Contents

  1. Introduction to algorithms
  2. Selection sort
  3. Recursion
  4. Quicksort
  5. Hash tables
  6. Breadth-first search
  7. Dijkstra's algorithm
  8. Greedy algorithms
  9. Dynamic programming
  10. K-nearest neighbors



 
 



   

 
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