The Hitchhiker's Guide to Python takes the journeyman Pythonista to true expertise. More than any other language, Python was created with the philosophy of simplicity and parsimony. Now 25 years old, Python has become the primary or secondary language (after SQL) for many business users. With popularity comes diversity—and possibly dilution. This guide, collaboratively written by over a hundred members of the Python community, describes best practices currently used by package and application developers. Unlike other books for this audience, The Hitchhiker’s Guide is light on reusable code and heavier on design philosophy, directing the reader to excellent sources that already exist.

The Hitchhiker's Guide to Python takes the journeyman Pythonista to true expertise. More than any other language, Python was created with the philosophy of simplicity and parsimony. Now 25 years old, Python has become the primary or secondary language (after SQL) for many business users. With popularity comes diversityâ??and possibly dilution. This guide, collaboratively written by over a hundred members of the Python community, describes best practices currently used by package and application developers. Unlike other books for this audience, The Hitchhikerâ??s Guide is light on reusable code and heavier on design philosophy, directing the reader to excellent sources that already exist.

Sind Sie bereit, ein echter Pythonista zu werden? Dann wird dieses Buch Ihr treuer Begleiter. Es bietet geballtes Insider-Know-how zu Best Practices und den bevorzugten Werkzeugen der Python-Community. Sie werden Ihre Python-Kenntnisse entscheidend verbessern – ob Sie einfach nur neugierig sind, als Normalsterblicher zu Open-Source-Projekten beitragen oder ein Unternehmen rund um Python aufbauen möchten. Dieses Buch wurde im Rahmen eines Gemeinschaftsprojekts von über einhundert Mitgliedern der Python-Community geschrieben. In Teil 1 geht es um das Einrichten der Python-Umgebung (Interpreter, Python-Installation, Texteditor, IDE). Dann tauchen Sie in Beispiel-Code ein, der den Python-Stil mustergültig umsetzt. Teil 3 macht Sie mit Bibliotheken vertraut, die von der Python-Community bevorzugt genutzt werden. - Entwickeln Sie besseren Python-Code, indem Sie Stil, Konventionen, Idiome und Fallstricke kennenlernen. - Sehen Sie sich exzellente Open-Source-Codebeispiele ausgewählter Python-Bibliotheken an. - Studieren Sie Best Practices für die Paketierung und Distribution von Python-Code. - Erkunden Sie Pythons Bibliotheken für die Benutzer-Interaktion – von Konsolenanwendungen über GUIs bis hin zu Webapplikationen. - Lernen Sie Tools für die Systemadministration sowie das Interfacing mit C- und C++-Bibliotheken kennen und verbessern Sie die Geschwindigkeit von Python. - Arbeiten Sie mit Netzwerk-Bibliotheken für asynchrone Aktionen, Serialisierung und Kryptografie. - Lernen Sie Bibliotheken zur Datenpersistenz und -manipulation kennen, darunter auch Werkzeuge zur Bild- und Audioverarbeitung. Prägnant und meinungsstark nimmt Sie der Hitchhiker's Guide mit auf eine Pro-Tour durch das Python-Universum. Raymond Hettinger, Python Core Developer

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Build software that combines Python’s expressivity with the performance and control of C (and C++). It’s possible with Cython, the compiler and hybrid programming language used by foundational packages such as NumPy, and prominent in projects including Pandas, h5py, and scikits-learn. In this practical guide, you’ll learn how to use Cython to improve Python’s performance—up to 3000x— and to wrap C and C++ libraries in Python with ease. Author Kurt Smith takes you through Cython’s capabilities, with sample code and in-depth practice exercises. If you’re just starting with Cython, or want to go deeper, you’ll learn how this language is an essential part of any performance-oriented Python programmer’s arsenal. Use Cython’s static typing to speed up Python code Gain hands-on experience using Cython features to boost your numeric-heavy Python Create new types with Cython—and see how fast object-oriented programming in Python can be Effectively organize Cython code into separate modules and packages without sacrificing performance Use Cython to give Pythonic interfaces to C and C++ libraries Optimize code with Cython’s runtime and compile-time profiling tools Use Cython’s prange function to parallelize loops transparently with OpenMP