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2. Python (programming language) - Wikipedia

   en.wikipedia.org/wiki/Python_(programming_language)

   Python 3.0, released in 2008, was a major revision not completely backward-compatible with earlier versions. Python 2.7.18, released in 2020, was the last release of Python 2. [37] Python consistently ranks as one of the most popular programming languages, and has gained widespread use in the machine learning community. [38] [39] [40] [41]

3. Django Girls - Wikipedia

   en.wikipedia.org/wiki/Django_Girls

   The tutorial, which teaches how to create and deploy a blog application using Django, is maintained and updated by the Django Girls community, using Github. As of May 2018, the Django Girls tutorial has been published online in 14 languages [30] besides its original English version. As of May 2018, more than 1,000,000 users have visited its ...

4. Codecademy - Wikipedia

   en.wikipedia.org/wiki/Codecademy

   Code Year was a free incentive Codecademy program intended to help people follow through on a New Year's Resolution to learn how to program, by introducing a new course for every week in 2012. [32] Over 450,000 people took courses in 2012, [33] [34] and Codecademy continued the program into 2013. Even though the course is still available, the ...

5. Shiny (web framework) - Wikipedia

   en.wikipedia.org/wiki/Shiny_(web_framework)

   Shiny is a web framework for developing web applications (apps), originally in R and since 2022 in python. It is free and open source. [2] It was announced by Joe Cheng, CTO of Posit, formerly RStudio, in 2012. [3] One of the uses of Shiny has been in fast prototyping. [4] In 2022, a separate implementation Shiny for Python was announced. [5]

6. Zed Shaw - Wikipedia

   en.wikipedia.org/wiki/Zed_Shaw

   Zed A. Shaw is a software developer best known for creating the Learn Code the Hard Way series of programming tutorials, as well as for creating the Mongrel web server for Ruby web applications. [1] He is also well known for his controversial views on programming languages and communities.

7. Anaconda (Python distribution) - Wikipedia

   en.wikipedia.org/wiki/Anaconda_(Python_distribution)

   Anaconda is a distribution of the Python and R programming languages for scientific computing (data science, machine learning applications, large-scale data processing, predictive analytics, etc.), that aims to simplify package management and deployment. Anaconda distribution includes data-science packages suitable for Windows, Linux, and macOS ...