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Learning Python is an introduction to the increasingly popular Python programming language. Python is an interpreted, interactive, object-oriented scripting language. Python is growing in popularity because: It is available on all important platforms: Windows NT, Windows 95, Windows 98, Linux, all major UNIX platforms, MacOS, and even the BeOS; It is open-source software, copyrighted but freely available for use, even in commercial applications; Its clean object-oriented interface makes it a valuable prototyping tool for C++ programmers; It works well with all popular windowing toolkits, including MFC, Tk, Mac, X11, and Motif. This book starts with a thorough introduction to the elements of Python: types, operators, statements, classes, functions, modules, and exceptions. By reading the first part of the book, the reader will be able to understand and construct programs in the Python language. All the examples use the Python interpreter.
Learning Python is an introduction to the increasingly popular Python programming language -- an interpreted, interactive, object- oriented, and portable scripting language. This book thoroughly introduces the elements of Python: types, operators, statements, functions, modules, and exceptions. It also demonstrates how to perform common programming tasks and write real applications. Provides a description of the basic building blocks of a Python program. Introduces more advanced topics, including some complex, realworld examples and shows programmers how to use Python with specialized libraries to build largescale applications. The authors of Learning Python show you enough essentials of the Python scripting language to enable you to begin solving problems right away, then reveal more powerful aspects of the language one at a time. This approach is sure to appeal to programmers and system administrators who have urgent problems.
"Practical Python" offers a highly useful guide to the Python programming language. In disarmingly readable prose, author Magnus Lie Hetland guides readers through those concepts of most importance to the budding Python developer. Following a succinct overview of the installation process, Hetland brings the reader 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 towards familiarizing the reader with their subtle, yet important differences. Primed with the language's foundational knowledge, readers are then introduced to Python's file-handling, database, GUI, and string-handling capabilities.
The Python Developer's Handbook is designed to expose experienced developers to Python and its uses. Beginning with a brief introduction to the language and its syntax, the book moves quickly into more advanced programming topics, including embedding Python, network programming, GUI toolkits, JPython, Web development, Python/C API, and more. Python is an interpreted, object-oriented programming language. Its syntax is simple and easy to learn, and it encourages programmers to write and think clearly. The Python Developer's Handbook is carefully written, well-organized introduction to this powerful, fast-growing programming language for experienced developers. A handbook for experienced developers, introducing the powerful object-oriented programming language, Python. Includes an introduction to language and syntax, moving quickly into advanced topics such as GUI toolkits, Web development, Python/C API, and embedding Python.
Python imports its most useful applications from the Python Standard Library, a collection of commonly used procedures that can be pasted into a Python script rather than written from scratch. Successful Python programmers rely heavily on the Standard Library, and this book illuminates its capabilities with more than 300 real-world example scripts, based on the author's work with 2500 answers from the Python newsgroup. A reference work for Python programmers interested in a resource filled with time-saving modules that perform common programming tasks. Topics include: Introduction to the Python 2.0 standard modules; Core modules (including modules for operating system functions, string, math, time, and garbage collection); File and directory modules; Encryption and security modules; Threads, processes, pipes, and signals in Python; Persisting Python objects (marshalling and pickling objects); Python modules for XML, HTML, and SGML.
Python is an easy to learn, powerful programming language. It has efficient high-level data structures and a simple but effective approach to object-oriented programming. Python's elegant syntax and dynamic typing, together with its interpreted nature, make it an ideal language for scripting and rapid application development in many areas on most platforms. This tutorial introduces the reader informally to the basic concepts and features of the Python language and system. It helps to have a Python interpreter handy for hands-on experience, but all examples are self-contained, so the tutorial can be read off-line as well. This tutorial does not attempt to be comprehensive and cover every single feature. Instead, it introduces many of Python's most noteworthy features, and will give you a good idea of the language's flavor and style. After reading it, you will be able to read and write Python modules and programs.
Python Web Programming is a practical introduction to building networked systems in the object-oriented framework of the Python language. It shows how to leverage the powerful Python libraries to build systems with less programming effort and easier maintenance. This book is primarily intended for experienced programmers who have used other languages (such as Perl, C or C++). It provides a high-level introduction to the language. Experience in building web-based systems is not required. Two chapters provide a concise introduction to the Python language, and there is extensive material on using the socket network API and the Python database API, as well as the many standard library modules. This practical material is underpinned by chapters which explain the technologies used. The book concludes by presenting a pure-Python web framework that can be used as the basis of the reader's own web applications.
This clear and concise introduction to the Python language is aimed at readers who are already familiar with programming in at least one other language. The core features of Python are explained first and the features that Python shares with other languages are covered quickly -- while specific Python features are explained in more detail. With large application features that are uncommon in other languages, Python can greatly enhance the programming process. Also the python language's ability to be compiled into Java bytecode and to be extended with C or C++ makes it well suited for Web site construction and Internet related applications. The material on these processes has been contributed by professionals who make their living using Python in this way. The Python core language reference that concludes the book has been designed to get new Python users to an advanced level of programming. On-line author support available to book purchasers.
Text Processing in Python is an example-driven, hands-on tutorial that carefully teaches programmers how to accomplish numerous text processing tasks using the Python language. Filled with concrete examples, this book provides efficient and effective solutions to specific text processing problems and practical strategies for dealing with all types of text processing challenges. Text Processing in Python begins with an introduction to text processing and contains a quick Python tutorial to get you up to speed. It then delves into essential text processing subject areas, including string operations, regular expressions, parsers and state machines, and Internet tools and techniques. Appendixes cover such important topics as data compression and Unicode. A comprehensive index and plentiful cross-referencing offer easy access to available information. Text Processing in Python is an example-driven, hands-on tutorial that carefully teaches programmers.
Looking to learn Python in a hands-on setting. Then this is the class for you. Designed for programmers with experience in at least one other language, this Python course teaches you the fundamentals of programming in Python. This hands-on Python training uses a series of lectures, demonstrations, and exercises to teach students how to design, develop, and debug Python applications. Students attending this Python training course will learn the fundamentals of Python, including data types, object oriented model, list comprehension, exception handling, flow control/looping, packages, modules, inheritance, and much more.