2021년 2월 17일 (수) 08:08에 Pythagoras0님의 편집

2021-02-17T08:08:33Z

Pythagoras0: /* 메타데이터 */ 새 문단

2020-12-26T12:17:39Z

메타데이터: 새 문단

Pythagoras0: /* 노트 */ 새 문단

2020-12-21T10:49:14Z

노트: 새 문단

새 문서

== 노트 ==

===위키데이터===
* ID : [https://www.wikidata.org/wiki/Q28865 Q28865]
===말뭉치===
# Python can connect to database systems.<ref name="ref_13072b5a">[https://www.w3schools.com/python/python_intro.asp Introduction to Python]</ref>
# Python runs on an interpreter system, meaning that code can be executed as soon as it is written.<ref name="ref_13072b5a" />
# In this tutorial Python will be written in a text editor.<ref name="ref_13072b5a" />
# Python's design philosophy emphasizes code readability with its notable use of significant whitespace.<ref name="ref_5dac23fe">[https://en.wikipedia.org/wiki/Python_(programming_language) Python (programming language)]</ref>
# Python is dynamically typed and garbage-collected.<ref name="ref_5dac23fe" />
# Python was created in the late 1980s, and first released in 1991, by Guido van Rossum as a successor to the ABC programming language.<ref name="ref_5dac23fe" />
# Python interpreters are supported for mainstream operating systems and available for a few more (and in the past supported many more).<ref name="ref_5dac23fe" />
# Python can be used on a server to create web applications.<ref name="ref_7de672e1">[https://www.w3schools.com/python/ Python Tutorial]</ref>
# Python is a general-purpose interpreted, interactive, object-oriented, and high-level programming language.<ref name="ref_28262d05">[https://www.tutorialspoint.com/python/index.htm Python Tutorial]</ref>
# Python is a high-level, interpreted, interactive and object-oriented scripting language.<ref name="ref_28262d05" />
# Python is a MUST for students and working professionals to become a great Software Engineer specially when they are working in Web Development Domain.<ref name="ref_28262d05" />
# − Python is processed at runtime by the interpreter.<ref name="ref_28262d05" />
# Working with Python in Visual Studio Code, using the Microsoft Python extension, is simple, fun, and productive.<ref name="ref_a0231cea">[https://code.visualstudio.com/docs/languages/python Python in Visual Studio Code]</ref>
# The extension makes VS Code an excellent Python editor, and works on any operating system with a variety of Python interpreters.<ref name="ref_a0231cea" />
# This article provides only an overview of the different capabilities of the Python extension for VS Code.<ref name="ref_a0231cea" />
# The tutorial guides you through installing Python and using the extension.<ref name="ref_a0231cea" />
# However, over the past few years, Python has emerged as a first-class citizen in modern software development, infrastructure management, and data analysis.<ref name="ref_123a3f67">[https://www.infoworld.com/article/3204016/what-is-python-powerful-intuitive-programming.html What is Python? Powerful, intuitive programming]</ref>
# The Python syntax is designed to be readable and straightforward.<ref name="ref_123a3f67" />
# This simplicity makes Python an ideal teaching language, and it lets newcomers pick it up quickly.<ref name="ref_123a3f67" />
# Python is both popular and widely used, as the high rankings in surveys like the Tiobe Index and the large number of GitHub projects using Python attest.<ref name="ref_123a3f67" />
# If you prefer videos, watch our Python for beginners playlist on Youtube.<ref name="ref_e338af6e">[https://www.programiz.com/python-programming Learn Python Programming]</ref>
# In this tutorial, you use Python 3 to create the simplest Python "Hello World" application in Visual Studio Code.<ref name="ref_cb76a5b7">[https://code.visualstudio.com/docs/python/python-tutorial Get Started Tutorial for Python in Visual Studio Code]</ref>
# This tutorial is not intended to teach you Python itself.<ref name="ref_cb76a5b7" />
# Next, install the Python extension for VS Code from the Visual Studio Marketplace.<ref name="ref_cb76a5b7" />
# Along with the Python extension, you need to install a Python interpreter.<ref name="ref_cb76a5b7" />
# In this tutorial, you'll learn about the Python pass statement, which tells the interpreter to do nothing.<ref name="ref_3921b712">[https://realpython.com/ Python Tutorials – Real Python]</ref>
# PyPI helps you find and install software developed and shared by the Python community.<ref name="ref_2b5e1833">[https://pypi.org/ PyPI · The Python Package Index]</ref>
# Learn how to package your Python code for PyPI.<ref name="ref_2b5e1833" />
# Get started learning Python with DataCamp's free Intro to Python tutorial .<ref name="ref_40755a32">[https://www.learnpython.org/ Free Interactive Python Tutorial]</ref>
# DataCamp offers online interactive Python Tutorials for Data Science.<ref name="ref_40755a32" />
# Python is a general-purpose programming language that is becoming ever more popular for data science.<ref name="ref_36845b2c">[https://www.datacamp.com/courses/intro-to-python-for-data-science Introduction to Python]</ref>
# Companies worldwide are using Python to harvest insights from their data and gain a competitive edge.<ref name="ref_36845b2c" />
# Unlike other Python tutorials, this course focuses on Python specifically for data science.<ref name="ref_36845b2c" />
# In our Introduction to Python course, you’ll learn about powerful ways to store and manipulate data, and helpful data science tools to begin conducting your own analyses.<ref name="ref_36845b2c" />
# NumPy brings the computational power of languages like C and Fortran to Python, a language much easier to learn and use.<ref name="ref_19ba14c7">[https://numpy.org/ NumPy]</ref>
# “Introduction to Computing in Python” is a series of courses built from Georgia Tech’s online for-credit version of CS1301: Introduction to Computing.<ref name="ref_fbcc3cc7">[https://www.edx.org/professional-certificate/introduction-to-python-programming Introduction to Python Programming Professional Certificate]</ref>
# The series is designed to take you from no computer science background whatsoever to proficiency in the basics of computing and programming, specifically in the popular programming language Python.<ref name="ref_fbcc3cc7" />
# By the end, you’ll be comfortable programming in Python and taking your skills off the Codecademy platform and onto your own computer.<ref name="ref_e3aa14fd">[https://www.codecademy.com/learn/learn-python Python Tutorial: Learn Python For Free]</ref>
# SciPy (pronounced “Sigh Pie”) is a Python-based ecosystem of open-source software for mathematics, science, and engineering.<ref name="ref_321e4168">[https://www.scipy.org/ SciPy.org — SciPy.org]</ref>
# Jython is a Java implementation of Python that combines expressive power with clarity.<ref name="ref_4b5ec33f">[https://www.jython.org/ Home]</ref>
# I'm in the unique position of asking over 100 industry experts the following question on my Talk Python To Me podcast.<ref name="ref_f10e2064">[https://www.jetbrains.com/pycharm/ PyCharm: the Python IDE for Professional Developers by JetBrains]</ref>
# This tutorial provides a basic Python programmer's introduction to working with protocol buffers.<ref name="ref_d27b8b6c">[https://developers.google.com/protocol-buffers/docs/pythontutorial Protocol Buffer Basics: Python]</ref>
# This isn't a comprehensive guide to using protocol buffers in Python.<ref name="ref_d27b8b6c" />
# In Python, packages are normally determined by directory structure, so the package you define in your .proto file will have no effect on the generated code.<ref name="ref_d27b8b6c" />
# Unlike when you generate Java and C++ protocol buffer code, the Python protocol buffer compiler doesn't generate your data access code for you directly.<ref name="ref_d27b8b6c" />
# Read-Evaluate-Print-Loop), which is a prompt you can enter Python commands into.<ref name="ref_c7270d7c">[https://www.raspberrypi.org/documentation/usage/python/ Raspberry Pi Documentation]</ref>
# However, Python does not use curly braces but instead requires indentation for nesting.<ref name="ref_c7270d7c" />
# To create a Python file in Thonny, click File > New and you'll be given a window.<ref name="ref_c7270d7c" />
# You can write a Python file in a standard editor, and run it as a Python script from the command line.<ref name="ref_c7270d7c" />
# In this course, you'll learn the fundamentals of the Python programming language, along with programming best practices.<ref name="ref_0d7aea81">[https://www.udacity.com/course/introduction-to-python--ud1110 Introduction to Python Programming]</ref>
# You’ll learn to represent and store data using Python data types and variables, and use conditionals and loops to control the flow of your programs.<ref name="ref_0d7aea81" />
# Lastly, you’ll learn to find and use modules in the Python Standard Library and other third-party libraries.<ref name="ref_0d7aea81" />
# Python programming language (latest Python 3) is being used in web development, Machine Learning applications, along with all cutting edge technology in Software Industry.<ref name="ref_e93e9c79">[https://www.geeksforgeeks.org/python-programming-language/ Python Programming Language]</ref>
# Python is currently the most widely used multi-purpose, high-level programming language.<ref name="ref_e93e9c79" />
# Python allows programming in Object-Oriented and Procedural paradigms.<ref name="ref_e93e9c79" />
# Python language is being used by almost all tech-giant companies like – Google, Amazon, Facebook, Instagram, Dropbox, Uber… etc.<ref name="ref_e93e9c79" />
# App Engine offers you a choice between two Python language environments.<ref name="ref_7362cb81">[https://cloud.google.com/appengine/docs/python Python on Google App Engine]</ref>
# The Python 2.7 runtime is not recommended because Python 2 is no longer supported by the community.<ref name="ref_7362cb81" />
# Python is the main dynamic language used at Google.<ref name="ref_bebae805">[https://google.github.io/styleguide/pyguide.html styleguide]</ref>
# Python evaluates certain values as False when in a boolean context.<ref name="ref_bebae805" />
# Conditions using Python booleans are easier to read and less error-prone.<ref name="ref_bebae805" />
# A nested Python function can refer to variables defined in enclosing functions, but cannot assign to them.<ref name="ref_bebae805" />
# This page provides 32- and 64-bit Windows binaries of many scientific open-source extension packages for the official CPython distribution of the Python programming language.<ref name="ref_6141a7ed">[https://www.lfd.uci.edu/~gohlke/pythonlibs/ Python Extension Packages for Windows]</ref>
# Chances are they do not work with custom Python distributions included with Blender, Maya, ArcGIS, OSGeo4W, ABAQUS, Cygwin, Pythonxy, Canopy, EPD, Anaconda, WinPython etc.<ref name="ref_6141a7ed" />
# IronPython is an excellent addition to the .NET Framework, providing Python developers with the power of the .NET framework.<ref name="ref_87e2aeef">[https://ironpython.net/ IronPython.net]</ref>
# We are thrilled to make available this public release of the Python Mode for Processing, and its associated documentation.<ref name="ref_a71938d2">[https://py.processing.org/ Python Mode for Processing]</ref>
# Python Mode for Processing was chiefly developed by Jonathan Feinberg, with contributions from James Gilles and Ben Alkov.<ref name="ref_a71938d2" />
# The Python Mode examples, reference, and tutorials were ported and/or created by James Gilles, Allison Parrish, and Miles Peyton.<ref name="ref_a71938d2" />
# These Miniconda installers contain the conda package manager and Python.<ref name="ref_a0128fda">[https://docs.conda.io/en/latest/miniconda.html Miniconda — Conda documentation]</ref>
# There are two variants of the installer: Miniconda is Python 2 based and Miniconda3 is Python 3 based.<ref name="ref_a0128fda" />
# The other difference is that the Python 3 version of Miniconda will default to Python 3 when creating new environments and building packages.<ref name="ref_a0128fda" />
# Whether you work in machine learning or finance, or are pursuing a career in web development or data science, Python is one of the most important skills you can learn.<ref name="ref_9748d254">[https://www.udemy.com/topic/python/ Python Courses, Training, and Tutorials | Learn Python Online Today]</ref>
# Python's simple syntax is especially suited for desktop, web, and business applications.<ref name="ref_9748d254" />
# Python's design philosophy emphasizes readability and usability.<ref name="ref_9748d254" />
# Python was developed upon the premise that there should be only one way (and preferably one obvious way) to do things, a philosophy that has resulted in a strict level of code standardization.<ref name="ref_9748d254" />
# Python is a popular general-purpose programming language that can be used for a wide variety of applications.<ref name="ref_458c3840">[https://opensource.com/resources/python What is Python?]</ref>
# Python is an interpreted, interactive, object-oriented programming language.<ref name="ref_458c3840" />
# The programming language includes thousands of third-party modules available in the Python Package Index (PyPI).<ref name="ref_458c3840" />
# First developed in the late 1980s by Guido van Rossum, Python has advanced as an open source programming language by managing public discussion through Python Enhancement Proposals (PEPs).<ref name="ref_458c3840" />
# MicroPython aims to be as compatible with normal Python as possible to allow you to transfer code with ease from the desktop to a microcontroller or embedded system.<ref name="ref_4c2dbdca">[https://micropython.org/ Python for microcontrollers]</ref>
===소스===
<references />

@@ 87번째 줄: / 87번째 줄: @@
   <references />
-== 메타데이터 ==
+==메타데이터==
 ===위키데이터===
 * ID :  [https://www.wikidata.org/wiki/Q28865 Q28865]

← 이전 판		2020년 12월 26일 (토) 12:17 판
86번째 줄:		86번째 줄:
	===소스===		===소스===
	<references />		<references />
		+
		+	== 메타데이터 ==
		+
		+	===위키데이터===
		+	* ID : [https://www.wikidata.org/wiki/Q28865 Q28865]

파이썬 - 편집 역사

2021년 2월 17일 (수) 08:08에 Pythagoras0님의 편집

Pythagoras0: /* 메타데이터 */ 새 문단

Pythagoras0: /* 노트 */ 새 문단