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# Initialize the scroll
page = es.search(
  index = 'yourIndex',
  doc_type = 'yourType',
  scroll = '2m',
  search_type = 'scan',
  size = 1000,
  body = {
    # Your query's body
    })

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• Ansible
  • AWS and boto3
    • Change tags of AWS-Glue crawler
• Athena
  • Create partitioned external table
    • Assumptions
    • Create the table
    • Fix the table
    • Query the table
• Docker

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import json
# Import smtplib for the actual sending function
import smtplib

# Import the email modules we'll need
from email.mime.text import MIMEText
from email.mime.multipart import MIMEMultipart
from datetime import datetime

def send_email(data):

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/var/folders/y6/skpcb0d11fb0yknzv6934h480000gn/T/python-build.20230404093016.30887 ~/tmp
++(/opt/homebrew/Cellar/pyenv/2.3.16/plugins/python-build/bin/python-build:334): http(): local method=get
++(/opt/homebrew/Cellar/pyenv/2.3.16/plugins/python-build/bin/python-build:335): http(): '[' -n https://www.python.org/ftp/python/3.8.9/Python-3.8.9.tar.xz ']'
++(/opt/homebrew/Cellar/pyenv/2.3.16/plugins/python-build/bin/python-build:336): http(): shift 1
+++(/opt/homebrew/Cellar/pyenv/2.3.16/plugins/python-build/bin/python-build:338): http(): detect_http_client
+++(/opt/homebrew/Cellar/pyenv/2.3.16/plugins/python-build/bin/python-build:345): detect_http_clienlocal client
+++(/opt/homebrew/Cellar/pyenv/2.3.16/plugins/python-build/bin/python-build:346): detect_http_clienfor client in aria2c curl wget
+++(/opt/homebrew/Cellar/pyenv/2.3.16/plugins/python-build/bin/python-build:347): detect_http_clientype aria2c
+++(/opt/homebrew/Cellar/pyenv/2.3.16/plugins/python-build/bin/python-build:346): detect_http_clienfor client 

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Visual Studio Code (1.74.3, undefined, desktop)
Jupyter Extension Version: 2023.1.1003441034.
Python Extension Version: 2022.20.2.
Workspace folder /Users/username/My Drive/Private/Football analysis
warn 10:36:00.299: Exception while attempting zmq : No native build was found for platform=darwin arch=arm64 runtime=electron abi=106 uv=1 armv=8 libc=glibc node=16.14.2 electron=19.1.8
    loaded from: /Users/username/.vscode/extensions/ms-toolsai.jupyter-2023.1.1003441034/out/node_modules/zeromq

User belongs to experiment group 'jupyterTest'
User belongs to experiment group 'jupyterEnhancedDataViewer'
debug 10:36:00.454: Updating cache with Local kernels 

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Visual Studio Code (1.74.2, undefined, desktop)
Jupyter Extension Version: 2023.1.1003441034.
Python Extension Version: 2022.20.1.
Workspace folder /Users/username/My Drive/Private/Football analysis
warn 07:29:47.904: Exception while attempting zmq : No native build was found for platform=darwin arch=arm64 runtime=electron abi=106 uv=1 armv=8 libc=glibc node=16.14.2 electron=19.1.8
    loaded from: /Users/username/.vscode/extensions/ms-toolsai.jupyter-2023.1.1003441034/out/node_modules/zeromq

User belongs to experiment group 'jupyterTest'
User belongs to experiment group 'jupyterEnhancedDataViewer'
debug 07:29:48.056: Updating cache with Local kernels 

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Experiment 'pythonaacf' is active
Experiment 'pythonSurveyNotificationcf' is active
> poetry env list --full-path
cwd: ~/My Drive/Private/Football analysis
[DEBUG 2023-0-6 11:45:15.870]: Cached data exists KeyPrefix=Cache_Method_Output_m.addKeyToStorage-Args="global"-Arg-Separator-"WORKSPACE_FOLDER_INTERPRETER_PATH_/Users/username/My Drive/Private/Football analysis"-Arg-Separator-undefined
[DEBUG 2023-0-6 11:45:15.870]: Cached data exists KeyPrefix=Cache_Method_Output_m.addKeyToStorage-Args="workspace"-Arg-Separator-"autoSelectedWorkspacePythonInterpreter-/Users/username/My Drive/Private/Football analysis"-Arg-Separator-undefined
[DEBUG 2023-0-6 11:45:15.870]: Cached data exists KeyPrefix=Cache_Method_Output_m.addKeyToStorage-Args="workspace"-Arg-Separator-"autoSelectedWorkspacePythonInterpreter-/Users/username/My Drive/Private/Football analysis"-Arg-Separator-undefined
[DEBUG 2023-0-6 11:45:15.871]: Cached data exists KeyPrefix=Cache_Method_Output_m.addKeyToStorage-Args="global"-Arg-Separator-"WORKSPACE_FOLD

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I am using the function render_latex:

def render_latex(text: str, minimal: bool = True) -> str:
    logger.debug(f"Rendering LaTeX - {text}")
    with LaTeXRenderer() as rendered:
        ast = Document(text)
        if len(ast.children) != 1:
            raise ValueError("Number of children of provided text is not 1")
 for child in ast.children[0].children:

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