Tips and tricks with Dukascopy JForex for forex trading TONIGHT
This is for anyone who is a hardcore fans of mine or any users of my service. I am rebuilding my site which will also contain quotes from people of my users. Let me know if you would be interested in supplying a testimonial of this group or my ELITE service for Quantlabs.net. I don’t mind linking back to a service you may as well if it is benefit to my thousand who will be visiting this page.
Just respond to this email if interested in providing a testimonial
I have an event scheduled TONIGHT at 8pm EDT for Dukascopy
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The three individual courses will be priced at $497 each after this process takes place.
I’m also putting the membership into its last days of existence before I start rolling all current members into the new Quant Analytics service.
Tips to build wxWidgets C++ for Ubuntu Linux
Here are some notes to help
../configure --enable-unicode --enable-debug
The development files for GTK+ were not found. For GTK+ 2, please
ensure that pkg-config is in the path and that gtk+-2.0.pc is
installed. For GTK+ 1.2 please check that gtk-config is in the path,
and that the version is 1.2.3 or above. Also check that the
libraries returned by 'pkg-config gtk+-2.0 --libs' or 'gtk-config
--libs' are in the LD_LIBRARY_PATH or equivalent.
You may need to do:
apt-get install libgtk2.0-common
Also, edit your Ubuntu bash profile
Add your GTK library to LD_LIBRARY_PATH
ALso, try installing with as this worked for me:
apt-get install libgtk2.0-dev
Install java 8
I had serious issues with configuring Netbeans and Eclipse IDEs for wxWidgets, but it
seems CodeLite IDE has preconfigured settings for wxWidgets.
sudo apt-key adv --fetch-keys http://repos.codelite.org/CodeLite.asc
sudo apt-add-repository "deb http://repos.codelite.org/ubuntu/ $(lsb_release -sc) universe"
sudo apt-get update
sudo apt-get install codelite wxcrafter
This link maybe useful as well http://www.tarsiersoft.com/addinfo/wxWidgetsInstall.php
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.
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
Python Virtualenv and Virtualenvwrapper Tutorial for Ubuntu 14.04
This one has 16 x 512 cores ( or 8192 cores)
at 1.3 GHz. (Normal pc has like 8 or 12 cores)
If the code is cuda enabled that's more cores than than the caltec hpc lab.
(Python has libraries that plugin that are coded to use cuda)
US DOE department of energy is said to be switching to cuda for their next super computer
for energy modelling. (100-300 petaflops)
Right now the only cuda hpc lab available is Nvidia. (They do have a free trial you can
subscribe to) To make it comparable, you'd have to rent 1500-2000 quad core machines to be able to make a comparison.
(Check out Nvidia k80 and Nvidia jetson)
K80 is what physicist use to model nuclear reactions, and oil engineers for fracking
calculations) (jetson is what's being used for visual processing for automated driving)
Keep in mind this is only for research and development aka model building not actual
trading. (But it will definitely speed things up)
I just got a set of awesome tips on a great Python developer for trading
Big thanks to him
You might consider to have a look at Pandas-DataReader https://github.com/pydata/pandas-datareader there is a reader for SDMX data http://ec.europa.eu/eurostat/data/sdmx-data-metadata-exchange see code here https://github.com/pydata/pandas-datareader/blob/master/pandas_datareader/eurostat.py This project is using requests http://docs.python-requests.org/ and requests-cache http://requests-cache.readthedocs.org/ to cache queries to database.