Computer Science with Python: Textbook for CBSE Class 12


Preeti Arora - 2019
    

Core Python Programming


R. Nageswara Rao
    Nageswara Rao, Wiley India, 9789351199427

Computer Science: A Structured Approach Using C++


Behrouz A. Forouzan - 1999
    Every complete program uses a consistent style, and as programs are analyzed, styles and standards are further explained. Whenever possible, the authors develop the principle of a subject before they introduce the language implementation so the student understands the concept before dealing with the nuances of C++. In addition, a vast array of figures and tables visually reinforce key concepts. By integrating software engineering principles and encouraging the student to resist the temptation to immediately code, the text builds a solid foundation in problem solving.

Python for Everybody: Exploring Data in Python 3


Charles Severance - 2016
    You can think of the Python programming language as your tool to solve data problems that are beyond the capability of a spreadsheet.Python is an easy to use and easy to learn programming language that is freely available on Macintosh, Windows, or Linux computers. So once you learn Python you can use it for the rest of your career without needing to purchase any software.This book uses the Python 3 language. The earlier Python 2 version of this book is titled "Python for Informatics: Exploring Information".

APC Understanding Computer Applications with BlueJ ICSE Class 10


Vijay Kumar Pandey
    

Graph Theory With Applications To Engineering And Computer Science


Narsingh Deo - 2004
    GRAPH THEORY WITH APPLICATIONS TO ENGINEERING AND COMPUTER SCIENCE-PHI-DEO, NARSINGH-1979-EDN-1

Data Structures and Algorithms Made Easy in Java: 700 Data Structure and Algorithmic Puzzles


Narasimha Karumanchi - 2011
    Success key books for: Programming puzzles for interviews Campus Preparation Degree/Masters Course Preparation Instructor's GATE Preparation Big job hunters: Microsoft, Google, Amazon, Yahoo, Flip Kart, Adobe, IBM Labs, Citrix, Mentor Graphics, NetApp, Oracle, Webaroo, De-Shaw, Success Factors, Face book, McAfee and many more Reference Manual for working people

Advanced Concepts in Operating Systems


Mukesh Singhal - 1994
    Numerous examples are provided to reinforce the concepts and relevant case studies illustrate the concepts and mechanisms described.

Starting Out with Java: From Control Structures Through Objects


Tony Gaddis - 2009
    If you wouldlike to purchase both the physical text and MyProgrammingLab search for ISBN-10: 0132989999/ISBN-13: 9780132989992. That packageincludes ISBN-10: 0132855836/ISBN-13: 9780132855839 and ISBN-10: 0132891557/ISBN-13: 9780132891554. MyProgrammingLab should only be purchased when required by an instructor. In "Starting Out with Java: From Control Structures through Objects", Gaddis covers procedural programming control structures and methods before introducing object-oriented programming. As with all Gaddis texts, clear and easy-to-read code listings, concise and practical real-world examples, and an abundance of exercises appear in every chapter. "

Python Programming: An Introduction to Computer Science


John Zelle - 2003
    It takes a fairly traditional approach, emphasizing problem solving, design, and programming as the core skills of computer science. However, these ideas are illustrated using a non-traditional language, namely Python. Although I use Python as the language, teaching Python is not the main point of this book. Rather, Python is used to illustrate fundamental principles of design and programming that apply in any language or computing environment. In some places, I have purposely avoided certain Python features and idioms that are not generally found in other languages. There are already many good books about Python on the market; this book is intended as an introduction to computing. Features include the following: *Extensive use of computer graphics. *Interesting examples. *Readable prose. *Flexible spiral coverage. *Just-in-time object coverage. *Extensive end-of-chapter problems.

Learn Python The Hard Way


Zed A. Shaw - 2010
    The title says it is the hard way to learn to writecode but it’s actually not. It’s the “hard” way only in that it’s the way people used to teach things. In this book youwill do something incredibly simple that all programmers actually do to learn a language: 1. Go through each exercise. 2. Type in each sample exactly. 3. Make it run.That’s it. This will be very difficult at first, but stick with it. If you go through this book, and do each exercise for1-2 hours a night, then you’ll have a good foundation for moving on to another book. You might not really learn“programming” from this book, but you will learn the foundation skills you need to start learning the language.This book’s job is to teach you the three most basic essential skills that a beginning programmer needs to know:Reading And Writing, Attention To Detail, Spotting Differences.

The Art of Computer Programming, Volumes 1-3 Boxed Set


Donald Ervin Knuth - 1998
    For the first time, these books are available as a boxed, three-volume set. The handsome slipcase makes this set an ideal gift for the recent computer science graduate or professional programmer. Offering a description of classical computer science, this multi-volume work is a useful resource in programming theory and practice for students, researchers, and practitioners alike. For programmers, it offers cookbook solutions to their day-to-day problems.

Computer Architecture and Organization


John P. Hayes - 1988
    Aimed at electrical and computing engineerering and undergraduates in computer architecture. Third revised edition.

Systems Programming (McGraw-Hill computer science series)


John J. Donovan - 1972
    

Violent Python: A Cookbook for Hackers, Forensic Analysts, Penetration Testers and Security Engineers


T.J. O'Connor - 2012
    Instead of relying on another attacker's tools, this book will teach you to forge your own weapons using the Python programming language. This book demonstrates how to write Python scripts to automate large-scale network attacks, extract metadata, and investigate forensic artifacts. It also shows how to write code to intercept and analyze network traffic using Python, craft and spoof wireless frames to attack wireless and Bluetooth devices, and how to data-mine popular social media websites and evade modern anti-virus.