Virtual Machines
Run the following commands on your virtual machines. You can use pip or conda
Using Pip
pip
$ sudo apt install python-pip
jupyter
$ pip3 install jupyter
scikit-learn
$ pip3 install scikit-learn
numpy
$ pip3 install numpy
pandas
$ pip3 install pandas
matplotlib
$ pip3 install matplotlib
graphviz
$ pip3 install graphviz
pydotplus
$ pip3 install pydotplus
tensorflow
$ python3 -m pip install tensorflow
nltk
$ pip3 install nltk
gensim
$ pip3 install gensim
Conda/Microconda
Download Miniconda (relevant to your architecture) on your virtual machine. Run the executable. If successful, it must create miniconda2 dirctory in your home folder on your machine.
jupyter
$ conda install jupyter
scikit-learn
$ conda install scikit-learn
numpy
$ conda install numpy
pandas
$ conda install pandas
matplotlib
$ conda install matplotlib
tensorflow
$ conda install tensorflow
Google-Colaboratory
You can also test the exercises on Google Colaboratory: https://colab.research.google.com/. If you have a Google account, you can create a Python notebook. You can access your Google drive files, after mounting them.
Mounting Google drive
from google.colab import drive
drive.mount('/content/gdrive')
You can see the files in your Drive folder.
from os import listdir
for f in listdir("/content/gdrive/My Drive"):
print(f)