BibTex # Limit number of authors in IEEEtran # In the .bib file configure your IEEEtran as follows: @IEEEtranBSTCTL{IEEEexample:BSTcontrol, CTLuse_forced_etal = "yes", CTLmax_names_forced_etal = "3", CTLnames_show_etal = "2" } Cheat-sheets # Overleaf, Bibliography management with bibtex Sébastien Merkel, Reference sheet for natbib usage LaTeX/Bibliography Management. (2023, June 5). Wikibooks. Discipline Specific Listings of BibTeX Journal Styles
Memory Usage # def memory(): with open('/proc/meminfo', 'r') as mem: ret = {} tmp = 0 for i in mem: sline = i.split() if str(sline[0]) == 'MemTotal:': ret['total'] = int(sline[1]) elif str(sline[0]) in ('MemFree:', 'Buffers:', 'Cached:'): tmp += int(sline[1]) ret['free'] = tmp ret['used'] = int(ret['total']) - int(ret['free']) return ret No Hang Up # nohup jupyter notebook --no-browser > notebook.log 2>&1 & Workaround: no cells output # se = time. ...
Configuration # Remote SSH # Host machine Hostname machine.com User user_name IdentityFile path/to/ssh/key Remote SSH - SSH Tunnel # Host tunnel_machine Hostname machine.com User user_name IdentityFile path/to/ssh/key Host machine_after_tunnel Hostname machine_after_tunnel.com User user_name IdentityFile path/to/ssh/key ForwardAgent yes ProxyJump tunnel_machine PC Configuration # Authorize your windows local machine to connect to remote machine. $USER_AT_HOST="your-user-name-on-host@hostname" $PUBKEYPATH="$HOME\.ssh\id_ed25519.pub" $pubKey=(Get-Content "$PUBKEYPATH" | Out-String); ssh "$USER_AT_HOST" "mkdir -p ~/.ssh && chmod 700 ~/. ...
1 pip uninstall plotly 2 jupyter labextension uninstall @jupyterlab/plotly-extension 3 jupyter labextension uninstall jupyterlab-plotly 4 jupyter labextension uninstall plotlywidget 5 jupyter labextension update --all 6 pip install plotly==5.17.0 7 pip install "jupyterlab>=3" "ipywidgets>=7.6" 8 pip install jupyter-dash 9 jupyter labextension list Useful Links # What is Right extension for Plotly in JupyterLab? https://stackoverflow.com/questions/62604893/what-is-right-extension-for-plotly-in-jupyterlab https://jupyter-docker-stacks.readthedocs.io/en/latest/ https://github.com/jupyter/docker-stacks https://github.com/plotly/plotly.py
1- Download packages locally using a requirements file or download a single package pip download -r requirements.txt ## Example - single package python -m pip download \ --only-binary=:all: \ --platform manylinux1_x86_64 --platform linux_x86_64 --platform any \ --python-version 39 \ --implementation cp \ --abi cp39m --abi cp39 --abi abi3 --abi none \ scipy 2- Copy them to the a temporary folder in your remote machine 3- On your machine, Activate conda and then install them using pip - specify installation options ...
Add # # only add files with .scala extension git ls-files [path] | grep '\.scala$' | xargs git add git stash --keep-index
Snippets # -- set identifiers to none for the query below to work and -- set it back to column once it's done set hive.support.quoted.identifiers = none; HIVE 3 # BI Code typically use db.table - needs to change to db.table Default path : /warehouse/tablespace/external/hive/default.db/test_table Resources & Useful Links # ACID + HIVE