Python Algorithms, Second Edition explains the Python approach to algorithm analysis and design. Written by Magnus Lie Hetland, author of Beginning Python, this book is sharply focused on classical algorithms, but it also gives a solid understanding of fundamental algorithmic problem-solving techniques. The book deals with some of the most important and challenging areas of programming and computer science in a highly readable manner. It covers both algorithmic theory and programming practice, demonstrating how theory is reflected in real Python programs. Well-known algorithms and data structures that are built into the Python language are explained, and the user is shown how to implement and evaluate others.

Python Algorithms explains the Python approach to algorithm analysis and design. Written by Magnus Lie Hetland, author of Beginning Python, this book is sharply focused on classical algorithms, but it also gives a solid understanding of fundamental algorithmic problem-solving techniques. The book deals with some of the most important and challenging areas of programming and computer science, but in a highly pedagogic and readable manner. The book covers both algorithmic theory and programming practice, demonstrating how theory is reflected in real Python programs. Well-known algorithms and data structures that are built into the Python language are explained, and the user is shown how to implement and evaluate others himself.

Gain a fundamental understanding of Python's syntax and features with the second edition of Beginning Python, an up-to-date introduction and practical reference. Covering a wide array of Python-related programming topics, including addressing language internals, database integration, network programming, and web services, you'll be guided by sound development principles. Ten accompanying projects will ensure you can get your hands dirty in no time. Updated to reflect the latest in Python programming paradigms and several of the most crucial features found in Python 3.0 (otherwise known as Python 3000), advanced topics, such as extending Python and packaging/distributing Python applications, are also covered.

"Practical Python" offers a highly useful guide to the Python programming language. In disarmingly readable prose, author Magnus Lie Hetland guides you through those concepts of most importance to the budding Python developer.

Following a succinct overview of the installation process, Hetland brings you up to speed regarding the general programming precepts common to every high-level language, including datatypes, conditionals and looping, abstractions, and modularity. Notably, Hetland takes great care to provide a thorough introduction to Python's potentially confusing datatype offering, including lists, tuples, and dictionaries, providing numerous examples aimed toward familiarizing you with their subtle, yet important differences.

Primed with the language's foundational knowledge, youll then be introduced to Pythons file-handling, database, graphical user interface, and string-handling capabilities. Additionally, Hetland offers an excellent review of Pythons object-oriented, functional, and exception-handling capabilities. All chapters are peppered with references to Python's useful built-in functions, which is done with the intention of demonstrating the considerable features offered by the default Python distribution.

Hetland devotes the second half of the book to project development, taking great care to choose a series of ten increasingly complex applications that are of timely and wide-ranging interest to burgeoning and expert developers alike. Project focus includes automated document conversion, newsgroup administration, graphical PDF document generation, remote document maintenance, the creation of a peer-to-peer system with XML-RPC, database integration, and GUI and game development.