Pandas dataframe basics -- Pandas data structures -- Introduction to plotting -- Data assembly -- Missing data -- Tidy data -- Data types -- Strings and text data -- Apply -- Groupby operations : split-apply-combine -- The datetime data type -- Linear models -- Generalized linear models -- Model diagnostics -- Regularization -- Clustering -- Life outside of pandas -- Toward a self-directed learner.
When ten-year-old Journey Song hears that two pandas are being held in a warehouse in her neighborhood, she worries that they may be hungry, cold and lonely. Horrified to learn that the pandas, originally destined for a zoo in Washington, might be shipped back to China because of a diplomatic spat between China and the United States, Journey rallies her friends and neighbors on the poverty-stricken Eastside. Her infectious enthusiasm for all things panda is hard to resist, and soon she's getting assistance from every corner of her tight-knit neighborhood.
Perform exploratory data analysis and gain insight into scientific computing using Python
Author: Alvaro Fuentes
Pubpsher: Packt Publishing Ltd
Enhance your data analysis and predictive modeling skills using popular Python tools Key Features Cover all fundamental libraries for operation and manipulation of Python for data analysis Implement real-world datasets to perform predictive analytics with Python Access modern data analysis techniques and detailed code with scikit-learn and SciPy Book Description Python is one of the most common and popular languages preferred by leading data analysts and statisticians for working with massive datasets and complex data visualizations. Become a Python Data Analyst introduces Python’s most essential tools and libraries necessary to work with the data analysis process, right from preparing data to performing simple statistical analyses and creating meaningful data visualizations. In this book, we will cover Python libraries such as NumPy, pandas, matplotlib, seaborn, SciPy, and scikit-learn, and apply them in practical data analysis and statistics examples. As you make your way through the chapters, you will learn to efficiently use the Jupyter Notebook to operate and manipulate data using NumPy and the pandas library. In the concluding chapters, you will gain experience in building simple predictive models and carrying out statistical computation and analysis using rich Python tools and proven data analysis techniques. By the end of this book, you will have hands-on experience performing data analysis with Python. What you will learn Explore important Python libraries and learn to install Anaconda distribution Understand the basics of NumPy Produce informative and useful visualizations for analyzing data Perform common statistical calculations Build predictive models and understand the principles of predictive analytics Who this book is for Become a Python Data Analyst is for entry-level data analysts, data engineers, and BI professionals who want to make complete use of Python tools for performing efficient data analysis. Prior knowledge of Python programming is necessary to understand the concepts covered in this book
I went through many changes when God called me to China. As the years passed, changes occurred in my language, daily habits, expectations, vocation, and Bible studies. Through all of these changes, God was faithful and led me along the path He’d prepared for me. It’s not that I was perfect, trust me I wasn’t. Missionaries are ordinary people, and you will get a glimpse into the highs and lows I experienced. Sometimes it’s only a glimpse because ten years of shopping experiences would be terribly dull. You’ll delve into six main areas: professional, ministry, holidays, culture, personal life, and moving back. As a tentmaking missionary, I was officially in China as a teacher, but my job often fed my ministry. The stories are thematically collected, although they can span a decade as they intertwine in the tapestry of life. Very few aspects of life are left entirely untouched because life happens overseas, just like it does in one’s own country. The packaging can be different, but it still happens. Therefore, the highlights are worthy of being shared. Going to a doctor or crossing the street are routine activities, but it doesn’t look the same in every country. These were my experiences while living in China.
Panda Love is a collection of incredible images of these gentle giants. Ami Vitale's stunning photographs, taken on location in China, document the efforts to breed pandas and release them back into the wild. Ami was given unprecedented access to the pandas and her photos give an amazing insight into the bears' lives in both the sanctuaries and their natural habitat. Fluffy panda cubs tumble out of baskets and play hide-and-seek with their carers, while the adult pandas curiously explore the forest and climb trees. The giant panda is everyone's favorite bamboo-munching bear. China may be on its way to successfully saving its most famous ambassador, and Panda Love lovingly documents the process of putting the wild back into an icon.
Part of the classic Fudge series from Judy Blume, bestselling author of Tales of a Fourth Grade Nothing! Fudge is obsessed with money. He’s making his own “Fudge Bucks” and has plans to buy the entire world. But life gets really crazy when Fudge and his older brother, Peter, run into their long-lost relatives, the Howie Hatchers. Now they have to deal with annoying twin cousins and a weird younger cousin, coincidentally named Farley Drexel Hatcher—just like Fudge! Their names aren’t the only similarity, and before long, mini-Fudge is causing just as much trouble as Fudge always has! “As a kid, Judy Blume was my favorite author, and Tales of a Fourth Grade Nothing was my favorite book.”—Jeff Kinney, author of the bestselling Wimpy Kid series Love Fudge, Peter, and Sheila? Read all the books featuring your favorite characters: Tales of a Fourth Grade Nothing Otherwise Known as Sheila the Great Superfudge Fudge-a-Mania