Python for Google App Engine: Massimiliano Pippi
Programming Google App Engine with Python:Build and Run Scalable Python Apps on Google´s Infrastructure Dan Sanderson
Effective Python will help students harness the full power of Python to write exceptionally robust, efficient, maintainable, and well-performing code. Utilizing the concise, scenario-driven style pioneered in Scott Meyers´s best-selling Effective C++ , Brett Slatkin brings together 53 Python best practices, tips, shortcuts, and realistic code examples from expert programmers. Each section contains specific, actionable guidelines organized into items, each with carefully worded advice supported by detailed technical arguments and illuminating examples. Product Description ?Each item in Slatkin?s Effective Python teaches a self-contained lesson with its own source code. This makes the book random-access: Items are easy to browse and study in whatever order the reader needs. I will be recommending Effective Python to students as an admirably compact source of mainstream advice on a very broad range of topics for the intermediate Python programmer.? ?Brandon Rhodes, software engineer at Dropbox and chair of PyCon 2016-2017 It?s easy to start coding with Python, which is why the language is so popular. However, Python?s unique strengths, charms, and expressiveness can be hard to grasp, and there are hidden pitfalls that can easily trip you up. Effective Python will help you master a truly ?Pythonic? approach to programming, harnessing Python?s full power to write exceptionally robust and well-performing code. Using the concise, scenario-driven style pioneered in Scott Meyers? best-selling Effective C++, Brett Slatkin brings together 59 Python best practices, tips, and shortcuts, and explains them with realistic code examples. Drawing on years of experience building Python infrastructure at Google, Slatkin uncovers little-known quirks and idioms that powerfully impact code behavior and performance. You?ll learn the best way to accomplish key tasks, so you can write code that?s easier to understand, maintain, and improve. Key features include Actionable guidelines for all major areas of Python 3.x and 2.x development, with detailed explanations and examples Effective Python will help students harness the full power of Python to write exceptionally robust, efficient, maintainable, and well-performing code. Utilizing the concise, scenario-driven style pioneered in Scott Meyers´s best-selling Effective C++, Brett Slatkin brings together 53 Python best practices, tips, shortcuts, and realistic code examples from expert programmers. Each section contains specific, actionable guidelines organized into items, each with carefully worded advice supported by detailed technical arguments and illuminating examples.
Bewährte Verfahren, Tipps und Tricks für robusten, leistungsfähigen und wartungsfreundlichen Code Grundlegende Aufgaben besser und effektiver erledigen Lösungen für das Debuggen, Testen und Optimieren zur Verbesserung von Qualität und Performance Der Einstieg in die Python-Programmierung ist einfach, daher ist die Sprache auch so beliebt. Pythons einzigartige Stärken und Ausdrucksmöglichkeiten sind allerdings nicht immer offensichtlich, und zudem gibt es diverse verborgene Fallstricke, über die man leicht stolpern kann. Dieses Buch vermittelt insbesondere eine Python-typische Herangehensweise an die Programmierung. Brett Slatkin nutzt dabei die Vorzüge von Python zum Schreiben von außerordentlich stabilem und schnellem Code. Er stellt 59 bewährte Verfahren, Tipps und Tricks vor, die er anhand praxisnaher Codebeispiele erläutert. Er orientiert sich dabei an dem kompakten, an Fallbeispielen orientierten Stil von Scott Meyers populärem Buch ´´Effektiv C++ programmieren´´. Auf der Basis seiner jahrelangen Erfahrung mit der Python-Infrastruktur bei Google demonstriert Slatkin weniger bekannte Eigenarten und Sprachelemente, die großen Einfluss auf das Verhalten des Codes und die Performance haben. Sie erfahren, wie sich grundlegende Aufgaben am besten erledigen lassen, damit Sie leichter verständlichen, wartungsfreundlicheren und einfach zu verbessernden Code schreiben können. Aus dem Inhalt: Umsetzbare Richtlinien für alle wichtigen Bereiche der Entwicklung in Python 2 und 3 mit detaillierten Erklärungen und Beispielen Funktionen so definieren, dass Code leicht wiederverwendet und Fehler vermieden werden können Systemverhalten mithilfe von Klassen präzise definieren Stolpersteine beim Programmieren mit Metaklassen und dynamischen Attributen umgehen Effizientere Ansätze für Nebenläufigkeit und parallele Ausführung Tipps und Tricks zur Nutzung von Pythons Standardmodulen Tools und Best Practices für die Zusammenarbeit mit anderen Entwicklern Lösungen für das Debuggen, Testen und Optimieren zur Verbesserung von Qualität und Performance Stimme zum Buch: ´´Jeder Abschnitt in Slatkins Buch Effektiv Python programmieren stellt eine eigenständige Lektion mit eigenem Quellcode dar. Die Abschnitte lassen sich leicht durchstöbern und können in beliebiger Reihenfolge studiert werden. Ich werde das Buch fortgeschrittenen Einsteigern als kompaktes Nachschlagewerk zu einem breiten Themenspektrum empfehlen.´´ Brandon Rhodes, Softwareentwickler bei Dropbox und Vorsitzender der PyCon 2016-2017
Deep learning is applicable to a widening range of artificial intelligence problems, such as image classification, speech recognition, text classification, question answering, text-to-speech, and optical character recognition. Deep Learning with Python is structured around a series of practical code examples that illustrate each new concept introduced and demonstrate best practices. By the time you reach the end of this book, you will have become a Keras expert and will be able to apply deep learning in your own projects. KEY FEATURES ? Practical code examples ? In-depth introduction to Keras ? Teaches the difference between Deep Learning and AI ABOUT THE TECHNOLOGY Deep learning is the technology behind photo tagging systems at Facebook and Google, self-driving cars, speech recognition systems on your smartphone, and much more. AUTHOR BIO Francois Chollet is the author of Keras, one of the most widely used libraries for deep learning in Python. He has been working with deep neural networks since 2012. Francois is currently doing deep learning research at Google. He blogs about deep learning at blog.keras.io.
Develop a greater intuition for the proper use of cryptography. This book teaches the basics of writing cryptographic algorithms in Python, demystifies cryptographic internals, and demonstrates common ways cryptography is used incorrectly. Cryptography is the life blood of the digital world´s security infrastructure. From governments around the world to the average consumer, most communications are protected in some form or another by cryptography. These days, even Google searches are encrypted. Despite its ubiquity, cryptography is easy to misconfigure, misuse, and misunderstand. Developers building cryptographic operations into their applications are not typically experts in the subject, and may not fully grasp the implication of different algorithms, modes, and other parameters. The concepts in this book are largely taught by example, including incorrect uses of cryptography and how ´´bad´´ cryptography can be broken. By digging into the guts of cryptography, you can experience what works, what doesn´t, and why. What You´ll Learn Understand where cryptography is used, why, and how it gets misused Know what secure hashing is used for and its basic properties Get up to speed on algorithms and modes for block ciphers such as AES, and see how bad configurations break Use message integrity and/or digital signatures to protect messages Utilize modern symmetric ciphers such as AES-GCM and CHACHA Practice the basics of public key cryptography, including ECDSA signatures Discover how RSA encryption can be broken if insecure padding is used Employ TLS connections for secure communications Find out how certificates work and modern improvements such as certificate pinning and certificate transparency (CT) logs Who This Book Is For IT administrators and software developers familiar with Python. Although readers may have some knowledge of cryptography, the book assumes that the reader is starting from scratch.
It is the Python version of ´´Data Structures and Algorithms Made Easy´´. Table of Contents: goo.gl/VLEUca Sample Chapter: goo.gl/8AEcYk Source Code: goo.gl/L8Xxdt The sample chapter should give you a very good idea of the quality and style of our book. In particular, be sure you are comfortable with the level and with our Python coding style. This book focuses on giving solutions for complex problems in data structures and algorithm. It even provides multiple solutions for a single problem, thus familiarizing readers with different possible approaches to the same problem. ´´Data Structure and Algorithmic Thinking with Python´´ is designed to give a jump-start to programmers, job hunters and those who are appearing for exams. All the code in this book are written in Python. It contains many programming puzzles that not only encourage analytical thinking, but also prepares readers for interviews. This book, with its focused and practical approach, can help readers quickly pick up the concepts and techniques for developing efficient and effective solutions to problems. Topics covered include: Organization of Chapters Introduction Recursion and Backtracking Linked Lists Stacks Queues Trees Priority Queues and Heaps Disjoint Sets ADT Graph Algorithms Sorting Searching Selection Algorithms [Medians] Symbol Tables Hashing String Algorithms Algorithms Design Techniques Greedy Algorithms Divide and Conquer Algorithms Dynamic Programming Complexity Classes Hacks on Bit-wise Programming Other Programming Questions
The Python programming language is one of the 10 most popular programming languages in use. It is in implementation with some of the largest companies in the world, including Reddit, Mozilla, Instagram, Spotify, YouTube, Disney, and Google. It is easy to learn, easy to read, and is an essential tool in any programmer’s arsenal. Python is a high-level interpreted programming language, focusing on readability and simplicity. It supports numerous popular programming paradigms, including object oriented, procedural, functional, and imperative. It is a comfortable first language for the novice programmer and an important addition to mid-level and veteran programmers alike.Python: Comprehensive Python Programming from the Ground Up is designed to make Python programming accessible to the novice user. This audiobook will break up the material into bite-sized chunks and take listeners from uninitiated programmer to expert coder, with layman explanations and code examples. In it, we will cover: A brief introduction and history about Python Downloading and installing Python Menus Identifiers Data types Lists Functions Comments If statements Loops And much, much more! Interested in a career in scripting? Automated testing? Cryptography? Web development? Data analysis? Machine learning? All of these disciplines utilize Python. Whether you’re dipping your toes into the pool for the first time or swimming in the deep end, this audiobook will be the lifesaver you need to navigate the waters of Python coding with ease and confidence. Download Python: Comprehensive Python Programming from the Ground Up today! 1. Language: English. Narrator: Sean Posvistak. Audio sample: http://samples.audible.de/bk/acx0/143082/bk_acx0_143082_sample.mp3. Digital audiobook in aax.
Imagine yourself....Learning the best programming strategies and immediately outperform established hackersProgramming like a hacker, landing a software development job at Google, and making a ton of moneyBeing paid to hack programs, software, and systems to find and plug loopholesTaking the art of Python to a whole new level and becoming a front figureInterested? You’ve come to the right place. This book includes two different computer technology books in one.Hacking: Become a World Class Hacker, Hack Any Password, Program or System with Proven Strategies and TricksPython Programming: Fluent in Python - Code Examples, Tips & Tricks for BeginnersThere are a lot of different parts that come with the Python code, and you can use them to write some amazing codes in no time. Some of the things that we will discuss in this guidebook about the Python code include:The basics of PythonThe classes and objectsThe if statementsWorking with inheritance codesHow to handle exceptions in your codeHow loops can save you timeUsing the operators in your codeHow file input and output workMany people also have their own ideas of what hackers are all about. They imagine someone who sits all alone in the dark, getting into systems and stealing personal information or ruining the reputation of a company. While this is one type of hacker, there is so much more that comes with it. This guidebook is going to take the time to look at some of the basics of hacking and how you can get started as a beginner.This two-book bundle will make you a great hacker! 1. Language: English. Narrator: Bill Conway. Audio sample: http://samples.audible.de/bk/acx0/103841/bk_acx0_103841_sample.mp3. Digital audiobook in aax.