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Python News Thursday, June 28

dizballanze/m00dbot

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dizballanze/m00dbot

Magical Color Machine Sock Design

  • Next we’ll upload these new designs to S3 so we can see hundreds at once but that’s for another blog post.
  • This is just one of the many ways that Sock Club is trying to change the way that people think about designs.
  • All of this boils down to building a better product for you and giving our team the resources to make better design decisions.
  • Sock Club makes an excellent Father’s Day gift Sign Up Here.
  • Here’s a Membership Certificate you can give on Father’s Day.

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Magical Color Machine Sock Design

Python Sets and Set Theory – Towards Data Science

  • dataScientist = set([‘Python’, ‘R’, ‘SQL’, ‘Git’, ‘Tableau’, ‘SAS’]) dataEngineer = set([‘Python’, ‘Java’, ‘Scala’, ‘Git’, ‘SQL’, ‘Hadoop’])If you look at the output of dataScientist and dataEngineer variables above, notice that the values in the set are not in the order added in.
  • dataScientist = {‘Python’, ‘R’, ‘SQL’, ‘Git’, ‘Tableau’, ‘SAS’} dataEngineer = {‘Python’, ‘Java’, ‘Scala’, ‘Git’, ‘SQL’, ‘Hadoop’}Keep in mind that curly braces can only be used to initialize a set containing values.
  • # Initialize a set – dataScientist = {‘Python’, ‘R’, ‘SQL’, ‘Git’, ‘Tableau’, ‘SAS’} for skill in dataScientist: – print(skill)If you look at the output of printing each of the values in dataScientist, notice that the values printed in the set are not in the order they were added in.
  • dataScientist = set([‘Python’, ‘R’, ‘SQL’, ‘Git’, ‘Tableau’, ‘SAS’]) – dataEngineer = set([‘Python’, ‘Java’, ‘Scala’, ‘Git’, ‘SQL’, ‘Hadoop’])union – A union, denoted dataScientist dataEngineer, is the set of all values that are values of dataScientist, or dataEngineer, or both.
  • # Initialize a set – possibleSet = {‘Python’, ‘R’, ‘SQL’, ‘Git’, ‘Tableau’, ‘SAS’, ‘Java’, ‘Spark’, ‘Scala’}# Membership test – ‘Python’ in possibleSetSince possibleSet is a set and the value ‘Python’ is a value of possibleSet, this

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Python Sets and Set Theory – Towards Data Science

sibblegp/b2blaze

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sibblegp/b2blaze

Python found on Florida woman’s front porch – she lives 200 miles from the Everglades

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Python found on Florida woman’s front porch – she lives 200 miles from the Everglades

Python from Space

  • The talk will cover finding, processing, evaluating and visualizing open satellite data using open source tools written in python.
  • It is now possible to obtain open satellite data on a daily if not weekly basis and for this data to be put to work; helping us better understand our planet and quickly respond to disaster situations.
  • In this talk we will work through a jupyter notebook that covers the satellite data ecosystem and the python tools that can be used to sift through and analyze that data.
  • Topics include python tools for using Open Street Maps data, the Geospatial Data Abstraction Library (GDAL), and OpenCV and NumPy for image processing.
  • This talk is intended for novice and intermediate python developers who are interested in using data science and satellite imagery for social good and fundamental scientific research.

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Python from Space

Survival Analysis to Explore Customer Churn in Python

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Survival Analysis to Explore Customer Churn in Python

Speakerfight – Python Brasil 2018 [TUTORIAIS]

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Speakerfight – Python Brasil 2018 [TUTORIAIS]

The Ultimate List of Python YouTube Channels – Real Python

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The Ultimate List of Python YouTube Channels – Real Python

ゲーム開発者向けPythonセミナー |CG・コンテンツ制作|ダイキン工業株式会社 電子システム事業部

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ゲーム開発者向けPythonセミナー |CG・コンテンツ制作|ダイキン工業株式会社 電子システム事業部