Update README.md

README.md

@@ -82,123 +82,3 @@ coverage html
 # then visit htmlcov/index.html in your browser
 ```
 
-
-
-## Interactive mode with jupyter notebook
-
-1. Install Jupyter
-
-Reference <http://jupyter.org/install.html>.
-
-E.g., on Ubuntu LTS 16.04:
-
-```
-sudo -H pip3 install --upgrade pip
-sudo -H pip3 install jupyter
-```
-
-To automaically remove cell outputs and unnecessary meta information from notebook before committing, install jq (a lightweight and flexible command-line JSON processor) and activate it by running gitconfig.sh. E.g., on Ubuntu:
-
-```
-sudo apt install -y jq
-./gitconfig.sh
-```
-
-2. Install pipenv kernel into jupyter notebook
-
-In the project folder, run
-
-```
-pipenv shell
-```
-
-This will bring up a terminal in your virtualenv like this:
-
-```
-(code-analytics-8iDyuztf) bash-3.2$
-```
-
-In that shell, do
-
-```
-python -m ipykernel install --user --name=my-virtualenv-name
-```
-
-Launch jupyter notebook:
-
-```
-jupyter notebook
-```
-
-In your notebook, the new kernel should now be an option. Enjoy your interactions with the notebook!
-
-
-## Analyze Javascript Projects
-
-Note: This section will be updated soon as we refactor the js graph server.
-
-Download the submodule `contribs/js-callgraph`:
-
-```bash
-git submodule update --init --recursive
-```
-
-Run the following commands:
-
-```bash
-npm install --prefix contribs/js-callgraph
-pipenv install
-pipenv run ./tools/repo_creater/create_repo.py test/js_test_repo/
-pipenv run pytest test/test_graphs/test_analyzer_js.py
-```
-
-
-## Debug/Prod Mode for Java Server
-
-This is a debug and prod mode switch in Java analyzer,
-by default the server is always in a debug mode, in case
-you want to turn it into prod mode where any exception raised
-is logged in a file and processing is not interrupted.
-
-We just need to set the environment variable:
-
-``export DEBUG_JAVA=False``
-
-If this environment variable is set ot `False` then Prod mode is on
-else Debug mode is on.
-
-## Trouble Shooting
-
-#### 1. No module named 'persper'
-
-Add this repo to python path so python can find the persper package. Insert the following line into `.bashrc` or `.bash_profile`.
-
-```
-export PYTHONPATH="/path/to/repo:$PYTHONPATH"
-```
-
-<!--### Batch Mode
-
-Complete the basic setup first.
-Note: setup-linux-ubuntu.sh can be used for Ubuntu Server.
-
-Read help info of dev_analysis.py:
-```bash
-./dev_analysis.py -h
-```
-
-To output results of PageRank and DevRank over the call graph:
-```bash
-./dev_analysis.py -x ./repos/linux-4.10-xml/kernel/ -o linux-kernel.xlsx -a 0 1 0.05 -pd
-```
-
-To output results of DevRank over the call-commit graph:
-```bash
-./dev_analysis.py -s ./repos/linux/ -x ./repos/linux-4.10-xml/ -o linux-cc.xlsx -n 100 200 -a 0 1 0.05 -c
-```
-
-A sample long-time run:
-```bash
-nohup ./dev_analysis.py -s ./repos/linux/ -x ./repos/linux-4.10-xml/ -o linux-4.10-cc.xlsx -n 1000 10000 -a 0 1 0.05 -c > dev.out 2>&1 &
-```
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