Practical Programming About this Book 400 pages Published: Release: P1.0 (2013-09-17) ISBN: 978-1-93778-545-1 You don’t need any programming experience to get started. First, you’ll get a detailed introduction to Python and to programming. You’ll find out exactly what happens when your programs are executed. The incremental examples show you the steps and missteps that happen while developing programs, so you know what to expect when you tackle a problem on your own. As you learn to use the fundamental programming tools in the first half of the book, you’ll see how to document and organize your code so that you and other programmers can more easily read and understand it. What You Need You’ll need to download Python 3, available from python.org. Here are the details: Installing and Running Python 3 Practical Programming uses Python 3. The program we'll use to write Python programs is called IDLE. Select the appropriate set of installation instructions: Linux Installation Instructions Debian/Mint/Ubuntu:
Getting Started with Python on Heroku flask python Table of Contents This quickstart will get you going with a Python application that uses the Flask web framework, deployed to Heroku. For Django apps, please see the Getting Started with Django on Heroku. For general information on how to develop and architect apps for use on Heroku, see Architecting Applications for Heroku. If you have questions about Python on Heroku, consider discussing it in the Python on Heroku forums. Prerequisites Basic Python knowledge. Local workstation setup First, install the Heroku Toolbelt on your local workstation. This ensures that you have access to the Heroku command-line client, Foreman, and the Git revision control system. Once installed, you can use the heroku command from your command shell. $ heroku login Enter your Heroku credentials. Press enter at the prompt to upload your existing ssh key or create a new one, used for pushing code later on. Start Flask app inside a Virtualenv $ mkdir helloflask $ cd helloflask $ source venv/bin/activate
Online Python Tutor - Visualize program execution Write your Python code here: x = [1, 2, 3] y = [4, 5, 6] z = y y = x x = z x = [1, 2, 3] # a different [1, 2, 3] list! x.append(4) y.append(5) z = [1, 2, 3, 4, 5] # a different list! x.append(6) y.append(7) y = "hello" def foo(lst): lst.append("hello") bar(lst) def bar(myLst): print(myLst) foo(x) foo(z) [Optional] Please answer these questions to support our research and to help improve this tool. Options: Execute code using , , , , , and . Here are some example Python code snippets to visualize: Basic: hello | happy | intro | filter | tokenize | insertion sort Math: factorial | fibonacci | memoized fibonacci | square root | gcd | towers of hanoi User Input: raw input Objects: OOP 1 | OOP 2 | OOP 3 | inheritance Linked Lists: LL 1 | LL 2 | LL sum Pointer Aliasing:aliasing 1 | aliasing 2 | aliasing 3 | aliasing 4aliasing 5 | aliasing 6 | aliasing 7 | aliasing 8 | sumList Higher-Order Functions: closure 1 | closure 2 | closure 3 | closure 4 | closure 5list map | summation | lambda param | student torture
Learn Python - Free Interactive Python Tutorial The Python Standard Library — Python v3.3.2 documentation While The Python Language Reference describes the exact syntax and semantics of the Python language, this library reference manual describes the standard library that is distributed with Python. It also describes some of the optional components that are commonly included in Python distributions. Python’s standard library is very extensive, offering a wide range of facilities as indicated by the long table of contents listed below. The library contains built-in modules (written in C) that provide access to system functionality such as file I/O that would otherwise be inaccessible to Python programmers, as well as modules written in Python that provide standardized solutions for many problems that occur in everyday programming. The Python installers for the Windows platform usually include the entire standard library and often also include many additional components.
Python tutorial Python Tutorial Today, Python is one of the most popular programming languages. Although it is a general-purpose language, it is used in various areas of applications such as Machine Learning, Artificial Intelligence, web development, IoT, and more. This Python tutorial has been written for the beginners to help them understand the basic to advanced concepts of Python Programming Language. After completing this tutorial, you will find yourself at a great level of expertise in Python, from where you can take yourself to the next levels to become a world class Software Engineer. This Python tutorial is based on the latest Python 3.11.2 version. What is Python? Python is a very popular general-purpose interpreted, interactive, object-oriented, and high-level programming language. Python supports multiple programming paradigms, including Procedural, Object Oriented and Functional programming language. Python Jobs GoogleIntelNASAPayPalFacebookIBMAmazonNetflixPinterestUberMany more... Prerequisites
Philosophy of hacking | PUSCII blog The definition of hacking is controversial at best. Anyone familiar with the hacking scene probably has some intuitive feelings towards what is meant by hacking. Connotations of creativity, subversiveness and tinkering with highly complex technology are quite broadly accepted. What is technology? Technology Technology comes from the Greek techne: art, skill, craftmanship. The practical application of knowledge or science The making or using of tools or systems to accomplish a task From these we can derive three aspects of technology. It is based on human knowledge It involves creation It is a means to an end. These aspects may form the basis for finding, or at least getting closer to, the essence of technology. According to Heidegger these four causes are "the ways, all belonging at once to each other, of being responsible for something else". Technology is thus not mere manufacturing of means to ends, not merely applying knowledge, it is a way of revealing, of finding Truth. Conclusion
The Python Tutorial — Python v2.7.5 documentation 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. The Python interpreter and the extensive standard library are freely available in source or binary form for all major platforms from the Python Web site, and may be freely distributed. The Python interpreter is easily extended with new functions and data types implemented in C or C++ (or other languages callable from C). This tutorial introduces the reader informally to the basic concepts and features of the Python language and system. For a description of standard objects and modules, see The Python Standard Library. The Glossary is also worth going through.
PB043: Kinderzimmerprogrammierer gesucht! Im Gespräch mit Niklas Riekenbrauck und Maria Schröder. By Jöran Muuß-Merholz unter CC BY 4.0. #pb21-Podcast mit Veranstalterin und Teilnehmer von „Jugend hackt“ Wer als Jugendlicher viel Zeit tüftelnd und programmierend vor dem Computer verbringt, bekommt dafür selten Anerkennung aus seinem Umfeld. Wie wird man eigentlich Hacker? „Wenn man wirklich etwas Eigenes schaffen möchte, etwas was die Leute auch benutzen, dann muss man sich außerschulisch damit beschäftigen.” Jugend hackt Jugend hackt beschreibt sich selbst als „Wochenendcamp für junge Haecksen und Hacker, für die HTML, CSS, Python und Co. keine langweiligen Abkürzungen, sondern wichtiger Bestandteil ihrer Freizeitbeschäftigung sind.“ Das Porjekt wird 2014 zum zweiten mal von der Open Knowledge Foundation und Young Rewires State veranstaltet. Jugend hackt Die Politikwissenschaftlerin Maria Schröder arbeitet bei der Open Knowledge Foundation Deutschland. Offene Daten Maria Schröder auf der re:publica Jugend lernt
The Django Book Raspberry Pi und Participatory Culture Als eine von vielen möglichen Antworten auf die Herausforderungen einer partizipativen Kultur könnte der Einplatinencomputer Raspberry Pi gelten. Dieser soll im folgenden Teil als Plattform für eine Participatory Culture im Sinne von Jenkins vorgestellt und auf Lernpotentiale und Anwendungsperspektiven hinsichtlich der elf Media Literacy Skills untersucht werden. Ursprung und Entwicklung des Pi „We were worried that the number of people who wanted to read computer science at Cambridge [University] was dropping -- by 50 percent within the last ten years. And the quality of people we were getting wasn't as good as they used to be“ (Cambridge Professor und Unternehmer Jack Lang im Interview mit Wired UK, 2013). Im Jahr 2006 bemerkte Eben Upton, zu dieser Zeit Director of Studies in Computer Sciences am St. Zu diesem Zweck gründete er zusammen mit Kollegen im Jahre 2009 die Rasperry Pi Foundation. Das einstige Nebenprojekt sollte sich bald als großer Erfolg herausstellen. Wissensbezug Fazit
Automate the Boring Stuff with Python