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Updated python package requirements for support of Python 3.7, 3.8 and 3.9.. (#372)
* Updated python package requirements for support of Python 3.7, 3.8 and 3.9.
* updated python package dependencies
* updated version number
Co-authored-by: Juliette James <[email protected]>
Copy file name to clipboardExpand all lines: README.md
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| Development | Details |
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| ------------- | ------------- |
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| Test Status |[](https://travis-ci.org/mhallsmoore/qstrader)[](https://coveralls.io/github/mhallsmoore/qstrader?branch=master)|
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| Version Info |[](https://pypi.org/project/qstrader)[](https://pypi.org/project/qstrader)|
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| Version Info |[](https://pypi.org/project/qstrader)[](https://pypi.org/project/qstrader)|
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Please note that the previous version of QSTrader, which is utilised through the **Advanced Algorithmic Trading** ebook, can be found along with the appropriate installation instructions [here](https://github.com/mhallsmoore/qstrader/tree/advanced-algorithmic-trading).
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It has recently been updated to support Python 3.5, 3.6 and 3.7 with up to date package dependencies.
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It has recently been updated to support Python 3.7, 3.8 and 3.9 with up to date package dependencies.
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# Installation
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Installation requires a Python3 environment. The simplest approach is to download a self-contained scientific Python distribution such as the [Anaconda Individual Edition](https://www.anaconda.com/products/individual#Downloads). You can then install QSTrader into an isolated [virtual environment](https://docs.python.org/3/tutorial/venv.html#virtual-environments-and-packages) using either conda or pip, as shown below.
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Installation requires a Python3 environment. The simplest approach is to download a self-contained scientific Python distribution such as the [Anaconda Individual Edition](https://www.anaconda.com/products/individual#Downloads). You can then install QSTrader into an isolated [virtual environment](https://docs.python.org/3/tutorial/venv.html#virtual-environments-and-packages) using pip as shown below.
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Any issues with installation should be reported to the development team as issues [here](https://github.com/mhallsmoore/qstrader/issues).
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## conda
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[conda](https://docs.conda.io/projects/conda/en/latest/) is a command-line tool that comes with the Anaconda distribution. It allows you to manage virtual environments as well as packages _using the same tool_.
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The following command will create a brand new environment called `backtest` and install QSTrader along with its dependencies, all in one go.
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The following command will create a brand new environment called `backtest`.
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```
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conda create -n backtest -c conda-forge qstrader
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conda create -n backtest
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```
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In order to start using QSTrader, you need to activate this new environment.
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In order to start using QSTrader, you need to activate this new environment and install QSTrader using pip.
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```
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conda activate backtest
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pip install qstrader
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```
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## pip
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# Full Documentation
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Comprehensive documentation for QSTrader can be found on QuantStart.com at [https://www.quantstart.com/qstrader/](https://www.quantstart.com/qstrader/).
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Comprehensive documentation and beginner tutorials for QSTrader can be found on QuantStart.com at [https://www.quantstart.com/qstrader/](https://www.quantstart.com/qstrader/).
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