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===소스===
 
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== 메타데이터 ==
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===위키데이터===
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* ID :  [https://www.wikidata.org/wiki/Q28865 Q28865]

2020년 12월 26일 (토) 05:17 판

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말뭉치

  1. Python can connect to database systems.[1]
  2. Python runs on an interpreter system, meaning that code can be executed as soon as it is written.[1]
  3. In this tutorial Python will be written in a text editor.[1]
  4. Python's design philosophy emphasizes code readability with its notable use of significant whitespace.[2]
  5. Python is dynamically typed and garbage-collected.[2]
  6. Python was created in the late 1980s, and first released in 1991, by Guido van Rossum as a successor to the ABC programming language.[2]
  7. Python interpreters are supported for mainstream operating systems and available for a few more (and in the past supported many more).[2]
  8. Python can be used on a server to create web applications.[3]
  9. Python is a general-purpose interpreted, interactive, object-oriented, and high-level programming language.[4]
  10. Python is a high-level, interpreted, interactive and object-oriented scripting language.[4]
  11. Python is a MUST for students and working professionals to become a great Software Engineer specially when they are working in Web Development Domain.[4]
  12. − Python is processed at runtime by the interpreter.[4]
  13. Working with Python in Visual Studio Code, using the Microsoft Python extension, is simple, fun, and productive.[5]
  14. The extension makes VS Code an excellent Python editor, and works on any operating system with a variety of Python interpreters.[5]
  15. This article provides only an overview of the different capabilities of the Python extension for VS Code.[5]
  16. The tutorial guides you through installing Python and using the extension.[5]
  17. However, over the past few years, Python has emerged as a first-class citizen in modern software development, infrastructure management, and data analysis.[6]
  18. The Python syntax is designed to be readable and straightforward.[6]
  19. This simplicity makes Python an ideal teaching language, and it lets newcomers pick it up quickly.[6]
  20. 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.[6]
  21. If you prefer videos, watch our Python for beginners playlist on Youtube.[7]
  22. In this tutorial, you use Python 3 to create the simplest Python "Hello World" application in Visual Studio Code.[8]
  23. This tutorial is not intended to teach you Python itself.[8]
  24. Next, install the Python extension for VS Code from the Visual Studio Marketplace.[8]
  25. Along with the Python extension, you need to install a Python interpreter.[8]
  26. In this tutorial, you'll learn about the Python pass statement, which tells the interpreter to do nothing.[9]
  27. PyPI helps you find and install software developed and shared by the Python community.[10]
  28. Learn how to package your Python code for PyPI.[10]
  29. Get started learning Python with DataCamp's free Intro to Python tutorial .[11]
  30. DataCamp offers online interactive Python Tutorials for Data Science.[11]
  31. Python is a general-purpose programming language that is becoming ever more popular for data science.[12]
  32. Companies worldwide are using Python to harvest insights from their data and gain a competitive edge.[12]
  33. Unlike other Python tutorials, this course focuses on Python specifically for data science.[12]
  34. 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.[12]
  35. NumPy brings the computational power of languages like C and Fortran to Python, a language much easier to learn and use.[13]
  36. “Introduction to Computing in Python” is a series of courses built from Georgia Tech’s online for-credit version of CS1301: Introduction to Computing.[14]
  37. 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.[14]
  38. By the end, you’ll be comfortable programming in Python and taking your skills off the Codecademy platform and onto your own computer.[15]
  39. SciPy (pronounced “Sigh Pie”) is a Python-based ecosystem of open-source software for mathematics, science, and engineering.[16]
  40. Jython is a Java implementation of Python that combines expressive power with clarity.[17]
  41. I'm in the unique position of asking over 100 industry experts the following question on my Talk Python To Me podcast.[18]
  42. This tutorial provides a basic Python programmer's introduction to working with protocol buffers.[19]
  43. This isn't a comprehensive guide to using protocol buffers in Python.[19]
  44. 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.[19]
  45. 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.[19]
  46. Read-Evaluate-Print-Loop), which is a prompt you can enter Python commands into.[20]
  47. However, Python does not use curly braces but instead requires indentation for nesting.[20]
  48. To create a Python file in Thonny, click File > New and you'll be given a window.[20]
  49. You can write a Python file in a standard editor, and run it as a Python script from the command line.[20]
  50. In this course, you'll learn the fundamentals of the Python programming language, along with programming best practices.[21]
  51. 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.[21]
  52. Lastly, you’ll learn to find and use modules in the Python Standard Library and other third-party libraries.[21]
  53. Python programming language (latest Python 3) is being used in web development, Machine Learning applications, along with all cutting edge technology in Software Industry.[22]
  54. Python is currently the most widely used multi-purpose, high-level programming language.[22]
  55. Python allows programming in Object-Oriented and Procedural paradigms.[22]
  56. Python language is being used by almost all tech-giant companies like – Google, Amazon, Facebook, Instagram, Dropbox, Uber… etc.[22]
  57. App Engine offers you a choice between two Python language environments.[23]
  58. The Python 2.7 runtime is not recommended because Python 2 is no longer supported by the community.[23]
  59. Python is the main dynamic language used at Google.[24]
  60. Python evaluates certain values as False when in a boolean context.[24]
  61. Conditions using Python booleans are easier to read and less error-prone.[24]
  62. A nested Python function can refer to variables defined in enclosing functions, but cannot assign to them.[24]
  63. 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.[25]
  64. Chances are they do not work with custom Python distributions included with Blender, Maya, ArcGIS, OSGeo4W, ABAQUS, Cygwin, Pythonxy, Canopy, EPD, Anaconda, WinPython etc.[25]
  65. IronPython is an excellent addition to the .NET Framework, providing Python developers with the power of the .NET framework.[26]
  66. We are thrilled to make available this public release of the Python Mode for Processing, and its associated documentation.[27]
  67. Python Mode for Processing was chiefly developed by Jonathan Feinberg, with contributions from James Gilles and Ben Alkov.[27]
  68. The Python Mode examples, reference, and tutorials were ported and/or created by James Gilles, Allison Parrish, and Miles Peyton.[27]
  69. These Miniconda installers contain the conda package manager and Python.[28]
  70. There are two variants of the installer: Miniconda is Python 2 based and Miniconda3 is Python 3 based.[28]
  71. The other difference is that the Python 3 version of Miniconda will default to Python 3 when creating new environments and building packages.[28]
  72. 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.[29]
  73. Python's simple syntax is especially suited for desktop, web, and business applications.[29]
  74. Python's design philosophy emphasizes readability and usability.[29]
  75. 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.[29]
  76. Python is a popular general-purpose programming language that can be used for a wide variety of applications.[30]
  77. Python is an interpreted, interactive, object-oriented programming language.[30]
  78. The programming language includes thousands of third-party modules available in the Python Package Index (PyPI).[30]
  79. 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).[30]
  80. 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.[31]

소스

  1. ↑ 1.0 1.1 1.2 Introduction to Python
  2. ↑ 2.0 2.1 2.2 2.3 Python (programming language)
  3. ↑ Python Tutorial
  4. ↑ 4.0 4.1 4.2 4.3 Python Tutorial
  5. ↑ 5.0 5.1 5.2 5.3 Python in Visual Studio Code
  6. ↑ 6.0 6.1 6.2 6.3 What is Python? Powerful, intuitive programming
  7. ↑ Learn Python Programming
  8. ↑ 8.0 8.1 8.2 8.3 Get Started Tutorial for Python in Visual Studio Code
  9. ↑ Python Tutorials – Real Python
  10. ↑ 10.0 10.1 PyPI · The Python Package Index
  11. ↑ 11.0 11.1 Free Interactive Python Tutorial
  12. ↑ 12.0 12.1 12.2 12.3 Introduction to Python
  13. ↑ NumPy
  14. ↑ 14.0 14.1 Introduction to Python Programming Professional Certificate
  15. ↑ Python Tutorial: Learn Python For Free
  16. ↑ SciPy.org — SciPy.org
  17. ↑ Home
  18. ↑ PyCharm: the Python IDE for Professional Developers by JetBrains
  19. ↑ 19.0 19.1 19.2 19.3 Protocol Buffer Basics: Python
  20. ↑ 20.0 20.1 20.2 20.3 Raspberry Pi Documentation
  21. ↑ 21.0 21.1 21.2 Introduction to Python Programming
  22. ↑ 22.0 22.1 22.2 22.3 Python Programming Language
  23. ↑ 23.0 23.1 Python on Google App Engine
  24. ↑ 24.0 24.1 24.2 24.3 styleguide
  25. ↑ 25.0 25.1 Python Extension Packages for Windows
  26. ↑ IronPython.net
  27. ↑ 27.0 27.1 27.2 Python Mode for Processing
  28. ↑ 28.0 28.1 28.2 Miniconda — Conda documentation
  29. ↑ 29.0 29.1 29.2 29.3 Python Courses, Training, and Tutorials | Learn Python Online Today
  30. ↑ 30.0 30.1 30.2 30.3 What is Python?
  31. ↑ Python for microcontrollers

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