Cash games were rarely spread in conventional poker rooms, let alone the Internet. All of that changed when the game exploded on television. No-limit cash games started sprouting up at casinos of all types. No-limit hold em is now the most popular form of poker. Tournaments pushed it to the forefront, and a great deal of money can also be won here despite that fact, many players feel frustrated with their results. They win some money, only to lose it all on one botched hand. This book teaches you how to play and think like a professional. It shows how to size your bets, manage the pot, manipulate your opponents, know when to go all-in, and avoid the big mistake. Do you understand critical no-limit concepts like The REM Process, The Commitment Threshold, and Stack-To-Pot Ratios? If not, this is the book for you.

    For centuries, the power of zero savored of the demonic; once harnessed, it became the most important tool in mathematics. Zero follows this number from its birth as an Eastern philosophical concept to its struggle for acceptance in Europe and its apotheosis as the mystery of the black hole. Today, zero lies at the heart of one of the biggest scientific controversies of all time, the quest for the theory of everything. Elegant, witty, and enlightening, Zero is a compelling look at the strangest number in the universe and one of the greatest paradoxes of human thought.

    This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python.You'll work with a case study throughout the book to help you learn the entire data analysis process—from collecting data and generating statistics to identifying patterns and testing hypotheses. Along the way, you'll become familiar with distributions, the rules of probability, visualization, and many other tools and concepts.Develop your understanding of probability and statistics by writing and testing codeRun experiments to test statistical behavior, such as generating samples from several distributionsUse simulations to understand concepts that are hard to grasp mathematicallyLearn topics not usually covered in an introductory course, such as Bayesian estimationImport data from almost any source using Python, rather than be limited to data that has been cleaned and formatted for statistics toolsUse statistical inference to answer questions about real-world data