Move from Excel to Python with Pandas Transcripts
Chapter: Appendix: Python language concepts
Lecture: Concept: pip
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Now that we saw there is over 88 thousand packages at pypi.org, we can just grab and bring into our projects and add great functionality
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HTTP processing, web services, web frameworks, database access, you name it, the question becomes how do we get those form pypi into our system
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or, any distributable package even if we actually just have a zip file of the contents, and the answer is pip. pip knows about the Python Package Index
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and when we type "pip install" a package, here we are typing "pip install requests",
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one of the most popular packages in Python, which is an HTTP client, pip will go and look in a certain location on the Python Package Index.
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And here you can see it found it, it downloaded version 2.9.1 and it unzipped it, installed it in the right location, cleaned everything up, beautiful.
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So, this is how we install something on the command line, if you need to install it machine-wide, you will likely have to do
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"sudo pip install requests" or alternatively on Windows, you will have to running in a command line that is running as administrator.
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Now, be aware, you really want to minimize doing this because when you install one of these things it runs the setup.py file
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that comes with the package that thing can have anything at once in it, and it could do anything that that package want to do to your machine, really,
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you are running as admin some sort of untrusted code, so be aware and try to install it locally,
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but if you've got to install it machine-wide, this is how you do it. If you have Python 3.3 or earlier, you probably don't have pip.
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Some of the new versions of Python 2 do have it, but most of the versions of Python 2 also don't have pip,
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so if you need to get pip, just follow this link and install it, then you carry on in exactly the same way.
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All the newer versions, Python 3.4, and later come with pip included, which is excellent.
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If you are using PyCharm, PyCharm has a really great support for pip as well, here you can see under the preferences tab,
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we found the project interpreter and you can see it's listing a bunch of packages,
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a version and the latest version, some of them have little blue arrows, indicating that we are using an older version rather than a newer version.
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So we could actually upgrade it. The little up arrow in the bottom left, once you select something
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will let you upgrade it and the plus will pull up a listing like a little search box that you can explore all those 88 thousand packages and more.
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So if you are using PyCharm, there is a really nice way to see what packages are installed in your active environment and manage them.