In A Pickle Over Pandas
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In Limbo Over Lyme Disease
Author: Melanie S. Weiss, R.N.
language: en
Publisher: First Edition Design Pub.
Release Date: 2019-09-05
In Limbo Over Lyme Disease is about the journey of a teen with Lyme disease and co-infections, caused by the bite of a tick. If not caught early, Lyme disease and co-infections can become chronic and wreak havoc on a person's body, mind, and life. Early diagnosis and treatment are key to a successful recovery. Prevention is important for everyone, since ticks are found around the world.
In a Pickle Over Pandas
This book is about a young boy's journey with a harrowing illness called PANDAS, an acronym for Pediatric Autoimmune Neuropsychiatric Disorder Associated with Streptococcus. He wakes up one morning, and overnight, is stricken with unusual and frightening symptoms that turn his world upside down. Some of the symptoms he experiences are anxiety & OCD. This happened all because an autoimmune response caused dysfunctional antibodies to invade the basal ganglia of the brain instead of fighting off the streptococcus bacteria. The boy has never even heard of PANDAS. After a long road, filled with doctor visits, blood draws, procedures & surgery, he is finally on the road to recovery. In time, he is able to forget about this harrowing illness. Then, the only PANDAS he knows of are the black and white bears at the zoo. www.PANDAS-DISORDER.com About the author - Melanie S. Weiss, RNC-MNN, BSN has been a registered nurse for thirty years, certified in maternal-newborn nursing. Her goals in writing this book were to explain a frightening illness to the children afflicted with it, in an informative but non-frightening way, and to raise awareness about the disorder. She is also the author of the article, "The Pandemonium of PANDAS." Melanie lives in Long Island, NY with her husband and three sons and is an employee of the North Shore LIJ Health System. Keywords - PANDAS, PANS, Pediatric, Autoimmune, Neurological, Disorder, Streptococcus, Anxiety, OCD, Antibiotic.
Python Algorithmic Trading Cookbook
Author: Pushpak Dagade
language: en
Publisher: Packt Publishing Ltd
Release Date: 2020-08-28
Build a solid foundation in algorithmic trading by developing, testing and executing powerful trading strategies with real market data using Python Key FeaturesBuild a strong foundation in algorithmic trading by becoming well-versed with the basics of financial marketsDemystify jargon related to understanding and placing multiple types of trading ordersDevise trading strategies and increase your odds of making a profit without human interventionBook Description If you want to find out how you can build a solid foundation in algorithmic trading using Python, this cookbook is here to help. Starting by setting up the Python environment for trading and connectivity with brokers, you’ll then learn the important aspects of financial markets. As you progress, you’ll learn to fetch financial instruments, query and calculate various types of candles and historical data, and finally, compute and plot technical indicators. Next, you’ll learn how to place various types of orders, such as regular, bracket, and cover orders, and understand their state transitions. Later chapters will cover backtesting, paper trading, and finally real trading for the algorithmic strategies that you've created. You’ll even understand how to automate trading and find the right strategy for making effective decisions that would otherwise be impossible for human traders. By the end of this book, you’ll be able to use Python libraries to conduct key tasks in the algorithmic trading ecosystem. Note: For demonstration, we're using Zerodha, an Indian Stock Market broker. If you're not an Indian resident, you won't be able to use Zerodha and therefore will not be able to test the examples directly. However, you can take inspiration from the book and apply the concepts across your preferred stock market broker of choice. What you will learnUse Python to set up connectivity with brokersHandle and manipulate time series data using PythonFetch a list of exchanges, segments, financial instruments, and historical data to interact with the real marketUnderstand, fetch, and calculate various types of candles and use them to compute and plot diverse types of technical indicatorsDevelop and improve the performance of algorithmic trading strategiesPerform backtesting and paper trading on algorithmic trading strategiesImplement real trading in the live hours of stock marketsWho this book is for If you are a financial analyst, financial trader, data analyst, algorithmic trader, trading enthusiast or anyone who wants to learn algorithmic trading with Python and important techniques to address challenges faced in the finance domain, this book is for you. Basic working knowledge of the Python programming language is expected. Although fundamental knowledge of trade-related terminologies will be helpful, it is not mandatory.