Programming Languages Price list in India

Problems Title
Real-Time Concepts for Embedded Systems

Real-Time Concepts for Embedded Systems

Develop a working understanding of the common design patterns and program structures of RTOSs so you can create your own standard building blocks. You learn how to decompose an application into units and how to combine these units with other objects and services to create standard building blocks.

Programming with C (Schaum's Outlines Series)

Programming with C (Schaum's Outlines Series)

This book follows a simplified way for solving problem. Through sample programs, it guides the readers to comprehend the different situations in which a certain feature can be used. The book has been developed based on the ANSI C standards. There is emphasis on designing clear, legible, modular and efficient programs throughout the book.

Beginning Programming with Python For Dummies, 2ed

Beginning Programming with Python For Dummies, 2ed

Python is a remarkably powerful and dynamic programming language that's used in a wide variety of application domains. Some of its key distinguishing features include a very clear, readable syntax, strong introspection capabilities, intuitive object orientation, and natural expression of procedural code. Plus, Python features full modularity, supporting hierarchical packages, exception-based error handling, and modules easily written in C, C++, Java, R, or .NET languages, such as C#. In addition, Python supports a number of coding styles that include: functional, imperative, object-oriented, and procedural.

The Python 3 Standard Library by Example

The Python 3 Standard Library by Example

The book is organized into chapters based on programming topics such as network programming, manipulating text, using the filesystem, etc. Each section of a chapter covers a single module from the standard library. The structure of the sections follows a consistent pattern in which a short introduction explains the overall purpose of the module being discussed and then the features provided by the module are examined in a logical order, building from basic to complex or following the order a programmer would need to use them in a real application. The code example sections begin with a brief introduction to the example code followed by exposition and sample output from the program. Where appropriate, variations are demonstrated with alternate input values or options to highlight the change in behavior. Each code sample is a complete program file that can be run on its own (the sample code is available for download and could be included in a CD with the book). An appendix will include “porting notes” for each module, summarizing the differences between Python 2 and 3, including aspects like renamed modules or classes, deprecated and new features and behavioral changes. Features Teaches through concise, modular examples Covers text, data structures, algorithms, dates/times, math, files, data management, crypto, processes/threads, networking/Internet, email, developer tools, runtime, modules, packages and more Fully reflects new Python 3 syntax, PSL’s new layout and naming conventions and many new modules Includes porting notes summarizing Python 3.x PSL changes every developer needs to know about Table of Contents Chapter 1: Text Chapter 2: Data Structures Chapter 3: Algorithms Chapter 4: Dates and Times Chapter 5: Mathematics Chapter 6: The File System Chapter 7: Data Persistence and Exchange Chapter 8: Data Compression and Archiving Chapter 9: Cryptography Chapter 10: Concurrency with Processes, Threads and Coroutines Chapter 11: Networking Chapter 12: The Internet Chapter 13: Email Chapter 14: Application Building Blocks Chapter 15: Internationalization and Localization Chapter 16: Developer Tools Chapter 17: Runtime Features Chapter 18: Language Tools Appendix A: Porting Notes Appendix B: Outside of the Standard Library

Programming in Python 3: A Complete Introduction to the Python Language

Programming in Python 3: A Complete Introduction to the Python Language

A Fully Revised Edition Featuring New Material on Coroutines, Debugging, Testing, Parsing, String Formatting, and More
Python 3 is the best version of the language yet: It is more powerful, convenient, consistent, and expressive than ever before. Now, leading Python programmer Mark Summerfield demonstrates how to write code that takes full advantage of Python 3’s features and idioms. Programming in Python 3, Second Edition, brings together all the knowledge you need to write any program, use any standard or third-party Python 3 library, and create New library modules of your own.



Summerfield draws on his many years of Python experience to share deep insights into Python 3 development you won’t find anywhere else. He begins by illuminating Python’s “beautiful heart”: the eight key elements of Python you need to write robust, high-performance programs. Building on these core elements, he introduces New topics designed to strengthen your practical expertise–one concept and hands-on example at a time. Coverage includes

Developing in Python using procedural, object-oriented, and functional programming paradigms
Creating custom packages and modules
Writing and reading binary, text, and XML files, including optional compression, random access, and text and XML parsing
Leveraging advanced data types, collections, control structures, and functions
Spreading program workloads across multiple processes and threads
Programming SQL databases and key—value DBM files
Debugging techniques–and using Test Driven Development to avoid bugs in the first place
Utilizing Python’s regular expression mini-language and module
Parsing techniques, including how to use the third-party Parsing and PLY modules
Building usable, efficient, GUI-based applications
Advanced programming techniques, including generators, function and class decorators, context managers, descriptors, abstract base classes, met classes, coroutines, and more
Features
Table of Contents Chapter 1: Rapid Introduction to Procedural Programming
Chapter 2: Data Types
Chapter 3: Collection Data Types
Chapter 4: Control Structures and Functions
Chapter 5: Modules
Chapter 6: Object-Oriented Programming
Chapter 7: File Handling
Chapter 8: Advanced Programming Techniques
Chapter 9: Debugging, Testing, and Profiling
Chapter 10: Processes and Threading
Chapter 11: Networking
Chapter 12: Database Programming
Chapter 13: Regular Expressions
Chapter 14: Introduction to Parsing
Chapter 15: Introduction to GUI Programming

Beginners Guide for Data Analysis using R Programming

Beginners Guide for Data Analysis using R Programming

R programming is an efficient tool for statistical analysis of data. Data science has become critical to Each field and The popularity of R is skyrocketing. Organization as large and diverse as Google, face book, Microsoft, Bank of America, Ford motor company, Mozilla, Thomas cook, The new York Times, The National weather service, Twitter and Bank, Uber, Airbnb etc. Have turned to R for reporting, analyzing and visualisations of data, This book is for students and professionals of Mathematics, statistics, Physics, Chemistry, Biology, social Science and medicine, business, engineering, software, information Technology, sales, bio Informatics, pharmacy and any one, where data needs to be analysed and represented graphically. salient features of The bookshelf;/strong> best self-study material and reference guide. and Lt; teaches how to apply various statistical methods to data science. and Lt; help statistician and professional to leverage strength by combining their domain expertise with data analysis capability of R. and Lt; more than 300 solved and tested programmes provided. and Lt; a comprehensive book covering all areas of R in detail. table of content chapter 1 - Introduction; Chapter 2 - Data types operations Chapter 3 - flow control Chapter 4 - functions package; Chapter 5 - charts and graphs; Chapter 6 - connecting R to external interface; Chapter 7 - elementary statistics; Chapter 8 - tests of hypotheses Chapter 9 - Non parametric tests Chapter 10 - analysis of variance; Chapter 11 - and NBE; basic multivariate analysis; Chapter 12 - Advanced multivariate analysis; Chapter 13 - Advanced graphs.

Artificial Intelligence For Dummies

Artificial Intelligence For Dummies

The term "Artificial Intelligence" has been around since the 1950s, but a lot has changed since then. Today, AI is referenced in the news, books, movies and tv shows and the exact definition is often misinterpreted. Artificial Intelligence For Dummies provides a clear introduction to AI and how it is being used today. This book will give an overview of the technology and address common misconceptions regarding Artificial Intelligence.

Neuro-Linguistic Programming for Dummies, 3ed

Neuro-Linguistic Programming for Dummies, 3ed

Neuro-linguistic programming (NLP) has taken the psychology world by storm. So much more than just another quick-fix or a run-of-the-mill self-help technique, NLP shows real people how to evaluate the ways in which they think, strategise, manage their emotional state and view the world. This then enables them to positively change the way they set and achieve goals, build relationships with others, communicate and enhance their overall life skills. Sounds great, right? But where do you begin? Thankfully, that's where this friendly and accessible guide comes in!

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