Python programming in context pdf download

While students solve problems of general interest, language elements are introduced with deliberate and incremental exposure to the fundamentals. Python Programming in Context, Third Edition is the ideal introductory text for those learning the Python language. Your email address will not be published. Save my name, email, and website in this browser for the next time I comment.

This guide, collaboratively written by over a hundred members of the Python community, describes best practices currently used by package and application developers.

A Byte of Python Author : C. However, the most important change was to the development process itself, with a shift to a more transparent and community-backed process. Many of its major features have also been backported to the backwards-compatible Python 2. Also in this initial release was a module system borrowed from Modula-3; Van Rossum describes the module as "one of Python's major programming units.

The major new features included in this release were the functional programming tools lambda, map, filter and reduce. Van Rossum stated that "Python acquired lam. The exposition is example and problem-oriented, where the applications are taken from mathematics, numerical calculus, statistics, physics, biology and finance. The book teaches "Matlab-style" and procedural programming as well as object-oriented programming. High school mathematics is a required background and it is advantageous to study classical and numerical one-variable calculus in parallel with reading this book.

Besides learning how to program computers, the reader will also learn how to solve mathematical problems, arising in various branches of science and engineering, with the aid of numerical methods and programming. By blending programming, mathematics and scientific applications, the book lays a solid foundation for practicing computational science.

From the reviews: Langtangen He guides the reader into thinking properly about producing program logic and data structures for modeling real-world problems using objects and functions and embracing the object-oriented paradigm. Summing Up: Highly recommended. Cook, The Mathematical Association of America, September This book goes through Python in particular, and programming in general, via tasks that scientists will likely perform. It contains valuable information for students new to scientific computing and would be the perfect bridge between an introduction to programming and an advanced course on numerical methods or computational science.

EPI is your comprehensive guide to interviewing for software development roles. The core of EPI is a collection of over problems with detailed solutions.

Computeractive 01 January Maximum PC December Leave a Reply Cancel reply Your email address will not be published. Video Tutorials. Two new chapters have been added to this edition increasing the coverage to include parsing, debugging, testing, and profiling. Readers will master Python procedural and object-oriented techniques; creation of custom modules and packages; writing and reading files; multithreading; networking; database programming; GUIs; regular expressions; application debugging, testing, and profiling; and more.

Detailed appendices include coverage of migrating applications from Python 2 to Python 3, plus a complete language reference. Have you learned the basics of Python and want to go further? Not sure what to do, where to go or what topics you should be studying? You have come to the right place; this book, "Python: Advanced Guide to Programming Code with Python" will take you through several of the more important advanced concepts.

Comprehensions — learn how to use constructs to build a sequence from another sequence Iterators and Generators — Learn how to use generator functions and iterator objects to make your code more efficient Decorators — Learn how to simplify the syntax for calling higher-order functions Context Managers — Learn how to write more effective Python code by managing your resources properly Descriptors — Learn how to add managed attributes to objects And much, much more!

Other Benefits of owning this book: Metaprogramming — Learn how to create functions and classes with the main object of manipulating your code Python Scripting Blender — An overview of Blender and how to script with it Django Web Development — An overview of what Django is and how to use it The goal of this book is to enhance your knowledge and, by the end of it, you will have gained sufficient knowledge and experience to consider yourself a proper Python coder!

This textbook on Python programming is meant for all interested people in Python- from beginners to those seeking to graduate to the advanced level, researchers, professionals, aspiring data analysts and data visualizers.

Based on Python 3. X, the textbook covers the basic essential components in understanding of pythons and a dozen of Python libraries such as NumPy, SciPy, sympy, and pandas. Each concept is explained with help of codes, solved examples, figures and screenshots followed by exhaustive chapter-end exercises. Advanced topics, such as, matplotlib, mapping applications like base map and folium, natural language tool kit NLTK , gensim and vector space model can be accessed online along with solutions to chapter-end questions, more assignments and power point presentations.

Few highlights: comprehensive coverage of Model AICTE syllabi concept clarity with screenshots and solved examples gives logical explanations to programming algorithms each example code tested on Python 3. X interpreter or Jupyter notebook all codes can be accessed and practices on GitHub. Learn the fundamentals of Python 3.

Fully updated to include hands-on tutorials and projects. Key Features Learn the fundamentals of Python programming with interactive projects Apply Python to data science with tools such as IPython and Jupyter Utilize Python for web development and build a real-world app using Django Book Description Learn Python Programming is a quick, thorough, and practical introduction to Python - an extremely flexible and powerful programming language that can be applied to many disciplines.

Unlike other books, it doesn't bore you with elaborate explanations of the basics but gets you up-and-running, using the language. You will begin by learning the fundamentals of Python so that you have a rock-solid foundation to build upon. You will explore the foundations of Python programming and learn how Python can be manipulated to achieve results.

Explore different programming paradigms and find the best approach to a situation; understand how to carry out performance optimization and effective debugging; control the flow of a program; and utilize an interchange format to exchange data. You'll also walk through cryptographic services in Python and understand secure tokens. Learn Python Programming will give you a thorough understanding of the Python language.

You'll learn how to write programs, build websites, and work with data by harnessing Python's renowned data science libraries. Filled with real-world examples and projects, the book covers various types of applications, and concludes by building real-world projects based on the concepts you have learned. It's also ideal for aspiring programmers who need to write scripts or programs to accomplish tasks.

The book shows you how to create a full-fledged application. In this book you will learn The benefit of python programing and why programmer around the world choose python How to download the python programming to your computer regardless of the operating system you''re using. How to write first program in python. What''s it means to work with object oriented programming language. How to read some of the error and show up in your code.

How to troubleshoot your own code. Refine your Python programming skills and build professional grade applications with this comprehensive guide Key Features Create manageable code that can run in various environments with different sets of dependencies Implement effective Python data structures and algorithms to write optimized code Discover the exciting new features of Python 3. Although writing Python code is easy, making it readable, reusable, and easy to maintain is challenging.

Complete with best practices, useful tools, and standards implemented by professional Python developers, the third edition of Expert Python Programming will help you overcome this challenge. The book will start by taking you through the new features in Python 3.