anjijava16

Databricks CLI Setup and Production PySpark Workflow

Prerequisites

• macOS (Apple Silicon or Intel)
• Homebrew installed
• Git installed
• Databricks Workspace
• Databricks account with appropriate permissions

anjijava16

uv python list Great! You already have all the Python versions you need. There's no need to install them again.

Here's what you have installed:

Python Version	Installed	Location
✅ 3.11.9	Yes	/Users/welcome/anaconda3/bin/python
✅ 3.12.11	Yes	/opt/homebrew/bin/python3.12
✅ 3.13.13	Yes	/opt/homebrew/bin/python3.13

anjijava16

On a Mac, `.rar` files are not supported by default, so you need a tool to extract them. Here are the easiest ways:

### Option 1: Use “The Unarchiver” (recommended)

1. Install it from the Mac App Store: **The Unarchiver**
2. Open it once after installation.
3. Go to **Settings → Archive Formats** and make sure **RAR** is checked.
4. Now just **double-click your .rar file** (or right-click → Open With → The Unarchiver).
5. It will extract the files into the same folder (or ask you where to save).

anjijava16

(base) welcome@jaisairams-Laptop ~ % source ~/.zprofile.sh (base) welcome@jaisairams-Laptop ~ % curl -fsSL https://floci.io/install.sh | sh Installing Floci CLI... Downloading floci 0.1.8 for darwin-arm64... Checksum verified. Installing to /usr/local/bin requires sudo... Password:

Floci CLI 0.1.8 installed to /usr/local/bin/floci

anjijava16

cd /Users/welcome/Desktop/sai_welcome_hanuman/welcome_sairam_repo/monocle/test_tools

./.venv/bin/python -m pytest tests/integration/test_non_llm_*eval*.py tests/unit/test_non_llm_*eval*.py -q --disable-warnings




============================= test session starts ==============================
platform darwin -- Python 3.10.0, pytest-9.0.3, pluggy-1.6.0
rootdir: /Users/welcome/Desktop/sai_welcome_hanuman/welcome_sairam_repo/monocle/test_tools

anjijava16

(.venv) welcome@jaisairams-Laptop demo % cd ..
(.venv) welcome@jaisairams-Laptop spec_experiments % uvx --from git+https://github.com/github/spec-kit.git specify init copilot_example
                                                           ███████╗██████╗ ███████╗ ██████╗██╗███████╗██╗   ██╗
                                                           ██╔════╝██╔══██╗██╔════╝██╔════╝██║██╔════╝╚██╗ ██╔╝
                                                           ███████╗██████╔╝█████╗  ██║     ██║█████╗   ╚████╔╝
                                                           ╚════██║██╔═══╝ ██╔══╝  ██║     ██║██╔══╝    ╚██╔╝
                                                           ███████║██║     ███████╗╚██████╗██║██║        ██║
                                                           ╚══════╝╚═╝     ╚══════╝ ╚═════╝╚═╝╚═╝        ╚═╝

anjijava16

curl -fsSL https://ollama.com/install.sh | sh


ollama run qwen3.5:9b


qwen3.5:9b


export ANTHROPIC_AUTH_TOKEN=ollama  # required but ignored

anjijava16

https://www.skool.com/aianswers/new-members-start-here?p=3b53e42f

https://medium.com/ai-software-engineer/anthropic-just-released-claude-code-course-and-i-earned-my-certificate-ad68745d46de

anjijava16

Based on my research, here's a comprehensive deep summary on LangGraph:

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🧬 What is LangGraph?

LangGraph is a low-level orchestration framework for building, managing, and deploying stateful, multi-actor agents powered by LLMs. It's designed for building long-running workflows that need persistence, memory, and complex control flow.

Key distinction: LangGraph is NOT a high-level agent framework like LangChain's agents. It's intentionally low-level, focusing entirely on agent orchestration and runtime capabilities.

anjijava16

Arize Phoenix Setup Guide (Mac)

Complete guide for setting up Arize Phoenix with PostgreSQL backend and built frontend UI on macOS.

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Prerequisites

• macOS (M1/M2 or Intel)
• Homebrew installed