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pip install - U $ ( pip freeze | awk '{split($0, a, "=="); print a[1]}' )

First create an empty repository on Bitbucket. Then clone it locally git clone git@bitbucket.org:benlongstaff/forked-repo.git cd forked-repo Now add Github repo as a new remote in Bitbucket called “sync” git remote add sync git@github.com:something/original-repo.git Verify the remotes, it should look something like Summer:forked-repo benlongstaff$ git remote -v origin git@bitbucket.org:benlongstaff/forked-repo.git (fetch) origin git@bitbucket.org:benlongstaff/forked-repo.git (push) sync git@github.com:something/original-repo.git (fetch) sync git@github.com:something/original-repo.git (push) Pull from the master branch in the sync remote. git pull sync master Setup a local branch to track the sync remote’s master branch git branch --track github-master sync/master Push the local master branch to the origin remote in Bitbucket. git push -u origin master To merge in changes from the original repo pull them down into the  github-master  branch and then rebase master

https://stackoverflow.com/questions/33496350/execute-python-script-within-jupyter-notebook-using-a-specific-virtualenv Here's what worked for me (non  conda  python): (MacOS, brew version of python. if you are working with system python, you may (will) need prepend each command with  sudo ) first activate virtualenv if starting afresh then, e.g., you could use virtualenvwrapper $pip install virtualenvwrapper $mkvirtualenv - p python2 py2env $workon py2env # This will activate virtualenv ( py2env ) $ # Then install jupyter within the active virtualenv ( py2env ) $ pip install jupyter # jupyter comes with ipykernel, but somehow you manage to get an error due to ipykernel, then for reference ipykernel package can be installed using: ( py2env ) $ pip install ipykernel Next, set up the kernel ( py2env ) $ python - m ipykernel install -- user -- name py2env -- display - name "Python2 (py2env)" then start jupyter notebook (the venv need not be activated f

run docker as running on the local machine on the host machine  sudo docker run --network="host" <name of the image> eg. sudo docker run --network="host" search

'''                             Online Python Compiler.                 Code, Compile, Run and Debug python program online. Write your code in this editor and press "Run" button to execute it. ''' def anotherFunc():     print("calling another function from decorator")     def deco1(func):     def inner(*args, **kwargs):         print("before1")         # anotherFunc()         func(*args, **kwargs)         # func()         print("after1")     return inner def deco2(func):     def inner(*args, **kwargs):         print("before2")         # anotherFunc()         func(*args, **kwargs)         # func()         print("after2")     return inner @deco1 @deco2 def testfunc(test1, test2, test3):     print("Hello World")     testfunc("hira", "jira", "sira") output: before1                                                             

python2 -m virtualenv sdfsdf