With a new introduction, three new chapters, modernized language and methods throughout, and an appendix of challenging and enjoyable practice problems, Calculus Made Easy has been thoroughly updated for the modern reader.

    N. Dhawan, S. C. Kheterpal and P. N. Kapil's New Course Chemistry with Value Based Questions, published by Pradeep Publications, is a comprehensive set of two books for Class XI students. Volume I and Volume II have various concepts in Chemistry explained in simple and lucid language for better comprehension. The books conform to the latest syllabus and exam pattern. - See more at: http://bbag.in/index.php?route=produc...

    Drawing on their extraordinary experience, they introduce a start-to-finish methodology for "ripping apart" applications to reveal even the most subtle and well-hidden security flaws.

    

    Many of the difficulties however, are not in the classroom... In The (Un)official Teacher's Manual, Omar Akbar offers direct, humorous and accessible advice on how to deal with the daily issues faced by a teacher- none of which involve teaching! Includes guidance on: lesson observations, emails, promotions, avoiding meaningless extra work, meetings, parents, maintaining a work-life balance, dealing with workplace bullying, and much more. While Omar pulls no punches on the reality of working in a school, a positive streak is maintained throughout. A must read for any teacher or potential teacher. - - - - - - - - - - - - - - Contents: Introduction: Why This Book Was Written 1. How to Get the Most from Observations, Learning Walks, and Book Scrutinies 2. The Don’ts of the School Email System 3. How to Get Promoted and Other Things to Consider 4. How and When to Say No and Yes 5. The Dos and Don’ts of Meetings 6. How to Get Parents on Your Side 7. Guidance for Trainee Teachers 8. Ensuring a Life-Work Balance 9. Bullying: the Problem and the Solution 10. How to Get the Teaching Job You Want 11. Maintaining Good Relationships 12. Why It’s All Worth It

    

    The author has a direct style. His book presents detailed and intensive explanations. Many diagrams and key examples are used to aid understanding, as well as the application of calculus to physics and engineering and economics. The text is well organized, and it covers single variable and multivariable calculus in depth. An instructor's manual and student guide are available online at http: //ocw.mit.edu/ans7870/resources/Strang/....

    Topics are broken down into three major conceptual pieces: Virtualization, Concurrency, and Persistence. Includes all major components of modern systems including scheduling, virtual memory management, disk subsystems and I/O, file systems, and even a short introduction to distributed systems.

    Coherent explanations and practical examples have made this one of the leading texts in the field. The third edition continues in this tradition, enhancing it with more practical material. The new edition has been reorganized to allow more flexibility in the way the course is taught. Now, instructors can easily choose whether they would like to teach a course which emphasizes database application development or a course that emphasizes database systems issues. New overview chapters at the beginning of parts make it possible to skip other chapters in the part if you don't want the detail.More applications and examples have been added throughout the book, including SQL and Oracle examples. The applied flavor is further enhanced by the two new database applications chapters.

    

    KEY TOPICS: Topics explored include wireless and wireline telecommunications systems, basic data communications networks and systems, local area networks, internetworks, and the Internet including TCP/IP protocol suite. MARKET: For professionals with a career or interest in electronic communications, data communications, and/or networking, as well as ECT, EET, and CET technologists.

     If you have ever found yourself lost halfway through other introductory materials on this topic, this is the book for you. If you don't understand set terminology such as vectors, hyperplanes, and centroids, then this is also the book for you. This starter course isn't a picture story book but does include many visual examples that break algorithms down into a digestible and practical format. As a starter course, this book connects the dots and offers the crash course I wish I had when I first started. The kind of guide I wish had before I started taking on introductory courses that presume you’re two days away from an advanced mathematics exam. That’s why this introductory course doesn’t go further on the subject than other introductory books, but rather, goes a step back. A half-step back in order to help everyone make his or her first strides in machine learning and is an ideal study companion for the visual learner. In this step-by-step guide you will learn: - How to download free datasets - What tools and software packages you need - Data scrubbing techniques, including one-hot encoding, binning and dealing with missing data - Preparing data for analysis, including k-fold Validation - Regression analysis to create trend lines - Clustering, including k-means and k-nearest Neighbors - Naive Bayes Classifier to predict new classes - Anomaly detection and SVM algorithms to combat anomalies and outliers - The basics of Neural Networks - Bias/Variance to improve your machine learning model - Decision Trees to decode classification Please feel welcome to join this starter course by buying a copy, or sending a free sample to your preferred device.

    

    Emphasis is placed on understanding the crisp mathematical idea behind each algorithm, in a manner that is intuitive and rigorous without being unduly formal. Features include: The use of boxes to strengthen the narrative: pieces that provide historical context, descriptions of how the algorithms are used in practice, and excursions for the mathematically sophisticated.Carefully chosen advanced topics that can be skipped in a standard one-semester course, but can be covered in an advanced algorithms course or in a more leisurely two-semester sequence.An accessible treatment of linear programming introduces students to one of the greatest achievements in algorithms. An optional chapter on the quantum algorithm for factoring provides a unique peephole into this exciting topic. In addition to the text, DasGupta also offers a Solutions Manual, which is available on the Online Learning Center.Algorithms is an outstanding undergraduate text, equally informed by the historical roots and contemporary applications of its subject. Like a captivating novel, it is a joy to read. Tim Roughgarden Stanford University

    Assuming no prior knowledge of C, this introductory-level book demonstrates and explains how to write useful and marketable programs in Turbo C on the IBM PC, XT, AT, and PC/Z computers.