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Introduction to Python Programming

Introduction to Python Programming

₹850

Introduction to Python Programming is written for students who are beginners in the field of computer programming. This book presents an intuitive approach to the concepts of Python Programming for students. This book differs from traditional texts not only in its philosophy but also in its overall focus, level of activities, development of topics, and attention to programming details. The contents of the book are chosen with utmost care after analyzing the syllabus for Python course prescribed by various top universities in USA, Europe, and Asia. Since the prerequisite know-how varies significantly from student to student, the book’s overall overture addresses the challenges of teaching and learning of students which is fine-tuned by the authors’ experience with large sections of students. This book uses natural language expressions instead of the traditional shortened words of the programming world. This book has been written with the goal to provide students with a textbook that can be easily understood and to make a connection between what students are learning and how they may apply that knowledge.Features of this bookThis book does not assume any previous programming experience, although of course, any exposure to other programming languages is usefulThis book introduces all of the key concepts of Python programming language with helpful illustrationsProgramming examples are presented in a clear and consistent mannerEach line of code is numbered and explained in detailUse of f-strings throughout the bookHundreds of real-world examples are included and they come from fields such as entertainment, sports, music and environmental studiesStudents can periodically check their progress with in-chapter quizzes that appear in all chapters

6 months ago
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C# 4.0 The Complete Reference

C# 4.0 The Complete Reference

₹500 ₹625
20% off

The Definitive Guide to C# “From using LINQ to covariance and from string formatting to optional arguments, Herb’s update covers all you need to know about using real-world C# 4.0.” —Michael Howard, Microsoft Corporation Bestselling author Herb Schildt has updated and expanded his classic programming reference to cover C# 4.0--the latest release of this powerful, feature-rich language. Using carefully crafted explanations, insider tips, and hundreds of examples, C# 4.0: The Complete Reference offers in-depth details on all aspects of C#, including keywords, syntax, and core libraries. New C# 4.0 features, such as named and optional arguments, the dynamic type, expanded covariance and contravariance capabilities, and support for parallel programming with the Task Parallel Library (TPL) and PLINQ are also discussed. Perfect for beginners and professional C# programmers alike, this expert resource is written in the clear, crisp, uncompromising style that has made Herb the choice of millions worldwide. Begin mastering C# 4.0 today with help from this authoritative volume! Coverage includes: Data types and operators Control statements Classes and objects Constructors, destructors, and methods Interfaces, arrays, enumerations, and structures Method and operator overloading Inheritance and virtual methods Reflection and runtime type ID Exception handling Delegates, properties, events, and indexers Attributes Multithreading and the Task Parallel Library Generics LINQ and PLINQ Lambda expressions Anonymous types Extension methods Named and optional arguments Implicitly typed variables I/O, networking, and collections The preprocessor and much, much more

7 months ago
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Statistics for big data(unopened)

Statistics for big data(unopened)

₹599

The fast and easy way to make sense of statistics for big data Does the subject of data analysis make you dizzy? You've come to the right place! "Statistics For Big Data For Dummies" breaks this often-overwhelming subject down into easily digestible parts, offering new and aspiring data analysts the foundation they need to be successful in the field. Inside, you'll find an easy-to-follow introduction to exploratory data analysis, the lowdown on collecting, cleaning, and organizing data, everything you need to know about interpreting data using common software and programming languages, plain-English explanations of how to make sense of data in the real world, and much more.Data has never been easier to come by, and the tools students and professionals need to enter the world of big data are based on applied statistics. While the word "statistics" alone can evoke feelings of anxiety in even the most confident student or professional, it doesn't have to. Written in the familiar and friendly tone that has defined the For Dummies brand for more than twenty years, "Statistics For Big Data For Dummies" takes the intimidation out of the subject, offering clear explanations and tons of step-by-step instruction to help you make sense of data mining--without losing your cool. Helps you to identify valid, useful, and understandable patterns in data Provides guidance on extracting previously unknown information from large databases Shows you how to discover patterns available in big data Gives you access to the latest tools and techniques for working in big dataIf you're a student enrolled in a related Applied Statistics course or a professional looking to expand your skillset, "Statistics For Big Data For Dummies" gives you access to everything you need to succeed.

7 months ago
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