Let's Find Pokemon!


Book Description

Every page in the Let's Find Pokemon! Postcard Book is a postcard packed with Pokemon, some in a Where's Waldo? fashion in which readers must find different characters in different scenes, and some as word puzzles. Four of the postcards piece together to make a poster, and all scenes are favorites from the popular Let's Find Pokemon! books.




Let's Find Pokemon! Special Complete Edition


Book Description

Here, the first three volumes of the popular Let's Find Pokemon! series are collected in a single book! Over thirty intricately illustrated spreads promise hours of seek-n-find fun. Can you find Bulbasaur's hiding place? Where has Squirtle gone? And Pikachu! Where are you? Solve mazes, unlock puzzles, and find your favorite Pokemon in this special edition.




Let's Find Pokémon! Ruby & Sapphire


Book Description

Look at the pictures and search for the hidden Pokémon.




Pokémon: Let's Go, Pikachu! & Let's Go, Eevee! - Strategy Guide


Book Description

- A complete walkthrough with strategies to defeat all the Kanto Gym Leaders and conquer the Pokémon League. - Encounter tables for all the wild Pokémon, including the rare Pokémon with undisclosed habitats in the Pokédex. - Explanations of all the gameplay mechanics for both beginner trainers and Pokémon Masters. - Where to find all the Master Trainers and hidden battles after beating the game. - A handy mini-Pokédex containing the key details for all 153 obtainable Pokémon and where to find them.




Pandas in Action


Book Description

Pandas has rapidly become one of Python''s most popular data analysis libraries. With pandas you can efficiently sort, analyze, filter and munge almost any type of data. In Pandas in Action, a friendly and example-rich introduction, author Boris Paskhaver shows you how to master this versatile tool and take the next steps in your data science career. about the technology Anyone who''s used spreadsheet software will find pandas familiar. While its column-based grids might remind you of Excel or Google Sheets, pandas is more flexible and far more powerful. It can efficiently perform operations on millions of rows and be used in tandem with other Python libraries for statistics, machine learning, and more. And best of all, using pandas doesn''t mean sacrificing user productivity or needing to write tons of complex code. It''s clean, intuitive, and fast. about the book Pandas in Action makes it easy to dive into Python-based data analysis. You''ll learn to use pandas to automate repetitive spreadsheet functionality and derive insight from data by sorting columns, filtering data subsets, and creating multi-leveled indices. Each chapter is a self-contained tutorial, letting you dip in when you need to troubleshoot tricky problems. Best of all, you won''t be learning from sterile or randomly created data. You''ll start with a variety of datasets that are big, small, incomplete, broken, and messy and learn how to clean and format them for proper analysis. what''s inside Import a CSV, identify issues with its data structures, and convert it to the proper format Sort, filter, pivot, and draw conclusions from a dataset and its subsets Identify trends from text-based and time-based data Organize, group, merge, and join separate datasets Real-world datasets that are easy to download and explore about the reader For readers experienced with spreadsheet software who know the basics of Python. about the author Boris Paskhaver is a software engineer, Agile consultant, and educator. His six programming courses on Udemy have amassed 236,000 students, with an average course rating of 4.59 out of 5. He first used Python and the pandas library to derive a variety of business insights at the world''s #1 jobs site, Indeed.com.




Pokémon Battle Let's Go Mad Libs


Book Description

Mad Libs is the world’s greatest word game and the perfect gift or activity for anyone who likes to laugh! Write in the missing words on each page to create your own hilariously funny stories all about Pokémon. With 21 “fill-in-the-blank” stories about Pikachu, Squirtle, Charmander and all beloved Pokémon, this book will have you laughing as you catch 'em all! Play alone, in a group, or at the Pokémon Center! Mad Libs are a fun family activity recommended for ages 8 to NUMBER. Pokémon Battle Royal Mad Libs includes: - Silly stories: 21 "fill-in-the-blank" stories all about your favorite Pokémon and their amazing abilities! - Language arts practice: Mad Libs are a great way to build reading comprehension and grammar skills. - Fun with friends: each story is a chance for friends to work together to create unique stories!




Popular Culture, New Media and Digital Literacy in Early Childhood


Book Description

This book offers a range of perspectives on children's multimodal experiences, providing a ground-breaking account of the ways in which children engage with popular culture, media and digital literacy practices from their earliest years. Many young children have extensive experience of film, television, printed media, computer games, mobile phones and the Internet from birth, yet their reaction to media texts is rarely acknowledged in the national curricula of any country. This seminal text focuses on children from birth to eight years, addressing issues such as: * media and identity construction * media literacy practices in the home * the changing nature of literacy in technologically advanced societies * The place of popular and media texts in children's lives and the use of such texts in the curriculum. By exploring children's engagement with popular culture, media and digital texts in the home, community and early years settings, the contributors look at empirical studies from around the world, and draw out vital new theoretical issues relating to children's emergent techno-literacy practices. With an unmatchable team of international experts evaluating topics from text-messaging to the Teletubbies, this book is a long-overdue, fascinating and illuminating read for policy-makers, educational researchers and practitioners, and crosses over to appeal to those in the linguistics field.




The Structure of Game Design


Book Description

The Structure of Game Design is designed to help aspiring and existing game designers turn their ideas into working games. Creating a game involves understanding the core foundational elements of all types of games from paper-based games to the latest video games. By understanding how these core principles work in all types of games, you can apply these same principles to design your own game. Games are about goals, structure, play and fun. While everyone will always have their own idea of what might be “fun”, any game designer can maximize player enjoyment through meaningful choices that offer various risks and rewards. Such challenges, combined with rules and limitations, force players to overcome obstacles and problems using a variety of skills including dexterity, puzzle solving, intelligence, and strategy. Essentially games allow players to venture forth into new worlds and overcome problems in a safe but exciting environment that allows them to triumph in the end. Just as playing games have proven popular around the world to all ages, genders, and cultures, so has game designing proven equally popular. Games can challenge players to make the best move, solve puzzles, engage in combat, manage resources, and tell stories. By understanding how randomness, psychology, and balance can change the way games play, readers can decide what game elements are best for their own game creation. Whether your goal is to make money, learn something new, make a social statement, improve on an existing game idea, or challenge your artistic, programming, or design skills, game design can be just as much fun as game playing. By knowing the parts of a game, how they work, how they interact, and why they’re fun, you can use your knowledge to turn any idea into a game that others can play and enjoy.







Hands-on Data Analysis and Visualization with Pandas


Book Description

Learn how to use JupyterLab, Numpy, pandas, Scipy, Matplotlib, and Seaborn for Data science KEY FEATURESÊÊ _ Get familiar with different inbuilt Data structures, Functional programming, and Datetime objects. _ Handling heavy Datasets to optimize the data types for memory management, reading files in chunks, dask, and modin pandas. _ Time-series analysis to find trends, seasonality, and cyclic components. _ Seaborn to build aesthetic plots with high-level interfaces and customized themes. _ Exploratory data analysis with real-time datasets to maximize the insights about data. DESCRIPTIONÊ The book will start with quick introductions to Python and its ecosystem libraries for data science such as JupyterLab, Numpy, Pandas, SciPy, Matplotlib, and Seaborn. This book will help in learning python data structures and essential concepts such as Functions, Lambdas, List comprehensions, Datetime objects, etc. required for data engineering. It also covers an in-depth understanding of Python data science packages where JupyterLab used as an IDE for writing, documenting, and executing the python code, Numpy used for computation of numerical operations, Pandas for cleaning and reorganizing the data, handling large datasets and merging the dataframes to get meaningful insights. You will go through the statistics to understand the relation between the variables using SciPy and building visualization charts using Matplotllib and Seaborn libraries. WHAT WILL YOU LEARNÊ _ Learn about Python data containers, their methods, and attributes. _ Learn Numpy arrays for the computation of numerical data. _ Learn Pandas data structures, DataFrames, and Series. _ Learn statistics measures of central tendency, central limit theorem, confidence intervals, and hypothesis testing. _ A brief understanding of visualization, control, and draw different inbuilt charts to extract important variables, detect outliers, and anomalies using Matplotlib and Seaborn. Ê WHO THIS BOOK IS FORÊ This book is for anyone who wants to use Python for Data Analysis and Visualization. This book is for novices as well as experienced readers with working knowledge of the pandas library. Basic knowledge of Python is a must.Ê TABLE OF CONTENTSÊ 1. Introduction to Data Analysis 2. Jupyter lab 3. Python overview 4. Introduction to Numpy 5. Introduction to PandasÊ 6. Data Analysis 7. Time-Series Analysis 8. Introduction to Statistics 9. Matplotlib 10. Seaborn 11. Exploratory Data Analysis