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For example a program that takes you weeks in C++ might take you a day in Python.\n+* Great for prototyping, and even for usage in a commercial setting.\n+* Because it is a modern, elegant, highest level OO language.\n+* Because it is highly expressive, i.e., you will earn higher productivity.\n+* Because it comes with \"batteries included\" i.e. libraries for whatever you want.\n+* Because it is well documented and has a well-established and growing community.\n+\n+> Instructor Note: Provide an example of your day-to-day work with Python.\n+> Ask students how they manage their data work and whether they have had any experience with Python (or any other programming languages).\n \n \n ***\n \n <a name=\"demo1\"></a>\n-## Demo: Data Science Workflow (15 mins)\n+## Demo: Implementing Python into Your Workflow (15 mins)\n+\n+**Where is Python used?**\n+\n+[Applications of Python](https://www.python.org/about/apps/)\n+\n+* Everywhere! Both in industry and Academia\n+* Art Middleware – Tools and Plugins\n+* Research\n+* Web Development and Web Applications\n+* Game Development\n+* Windows Applications\n+* You name it!\n+\n+**Python v other languages**\n+\n+[Comparing Python to Other Languages](https://www.python.org/doc/essays/comparisons/)\n+\n+Python is often compared to other interpreted languages such as Java, JavaScript, Perl, Tcl, or Smalltalk. Comparisons to C++, Common Lisp and Scheme can also be enlightening\n+\n+\n+Your first program:\n+\n+```\n+\tprint(\"hello world\")\n+```\n+\n+Or alternatively:\n+\n+```\t\n+\tdef main():\n+\t    print(\"hello world\")\n+\t    \n+\tif __name__ = '__main__':\n+\t    main()\n+```\t\n+\n \n \n ***\n \n <a name=\"guided-practice1\"></a>\n-## Guided Practice: Tools of the Trade (15 mins)\n+## Guided Practice: Installing and Configuring Common Python Libraries (20 mins)\n+\n+> Instructor Note: You can show the following commands and concepts using a python/ipython shell. We encourage you to use a Jupyter notebook in the second part of the workshop.\n+\n+**Packages**\n+\n+Libraries of code written to solve particular set of problems\n+\n+In Python there are many related packages relevant to data science: pandas, Scikit-learn, NumPy, etc\n+\n+These are installed with PIP, Conda, etc\n+\n+`pip install <package-name>`","path":"curriculum/02-materials/lesson.md","position":140,"original_position":140,"commit_id":"1541e13e1a74d3b3a9946c1bd30c41520ef16385","original_commit_id":"1541e13e1a74d3b3a9946c1bd30c41520ef16385","user":{"login":"jeff-boykin","id":15641574,"avatar_url":"https://avatars.githubusercontent.com/u/15641574?v=3","gravatar_id":"","url":"https://api.github.com/users/jeff-boykin","html_url":"https://github.com/jeff-boykin","followers_url":"https://api.github.com/users/jeff-boykin/followers","following_url":"https://api.github.com/users/jeff-boykin/following{/other_user}","gists_url":"https://api.github.com/users/jeff-boykin/gists{/gist_id}","starred_url":"https://api.github.com/users/jeff-boykin/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/jeff-boykin/subscriptions","organizations_url":"https://api.github.com/users/jeff-boykin/orgs","repos_url":"https://api.github.com/users/jeff-boykin/repos","events_url":"https://api.github.com/users/jeff-boykin/events{/privacy}","received_events_url":"https://api.github.com/users/jeff-boykin/received_events","type":"User","site_admin":false},"body":"Good for demonstration purposes, but if students have downloaded Anaconda ahead of time, won't most of these already be 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