https://www.youtube.com/watch?v=RynT-XzrtGAAll popular tools included for Python development
Here are installation instructions for installing instructions for the popular tools like Jupyter and Anaconda integrated development environment. I can tell you from my own experience many popular Python packages will not work on Windows for some reason. Please keep that in mind.
Always remember I have a course that is getting updated regular to keep it modern. This focuses on the setting up your own trading infrastructure for automated trading.
Wisest tips for Python 2 vs 3 with Anaconda vs PyCharm
This came in from a wise software developer with much experience in these environments. Confusing for many I know based on an email I sent out below. Also, check out the 1 on 1 tutorial below to see how I tried to help others. BIG THANKS to this person for helping who is among some really amazing generous people in this community!
I sense your frustration with the mixed python environments when trying to get everything to play nicely (from your video) . May I suggest that you try setting up virtual python environments with “vritualenv” (and/or manage multiple environments with “virtualenvwrapper”). Create your virtual environment and install Anaconda for python 2.7 into one of the virtual environments that you have setup and that way you have a isolated sandbox with which you can only use that version of python (the other installs are invisible to this environment unless you choose to make them visible – that is a switch in the virtualenv setup), IDE (Spyder) etc Anaconda only, and pip Mongodb will install in this Anaconda environment- without leaking into your other environments. You can setup another for Anaconda for python 3, another for Pycharm etc….
By the way “pip” does work with Anaconda for packages that are not part of Anaconda, you just have to manage those packages yourself and I have never had any issues.
https://docs.continuum.io/anaconda/pkg-docs
Here are some resources that may be useful to explore should you wish to go down that path.
Good tuts for “virtualenv”
Python Power Tools: virtualenv
Python Power Tools: virtualenvwrapper
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Python Virtualenv and Virtualenvwrapper Tutorial for Ubuntu 14.04
Note you can do math markup and Napoleon provides enhanced quality docstring support. Graphviz will let you show graphs (in the topological sense, not charts).
Hope this helps
This looks like a document generator.
I looked at these technologies including Glade. I am also moving off Anaconda as I am getting all kind of strange problems with it. This video hints at that.
I just find I work better with WordPress as my video explains.
OMG! Say it ain’t so EASY MULTI-PLATFORM INSTALLATION OF A SCIENTIFIC PYTHON STACK USING ANACONDA
From QuantStart on Facebook
A few of you have commented and emailed that installing a proper Python scientific stack can be somewhat tricky on Windows and Mac OSX (this is probably an understatement!).
Thankfully, Continuum Analytics have released the Anaconda Python distribution which makes it simple to install NumPy, SciPy, Scikit-learn, Pandas and Matplotlib easily.
In this article I describe the process for installing Anaconda (and the Spyder IDE) for Mac OSX systems:
