poetry -> uv; remove docker; update deps

Author: Yury Kashnitsky

.gitattributes

@@ -22,6 +22,3 @@
 *.pyo 		binary
 
 *.ipynb linguist-language=Python
-Dockerfile linguist-vendored
-docker_files/* linguist-vendored
-data/news_data/* linguist-vendored

.pre-commit-config.yaml

@@ -12,13 +12,31 @@ repos:
       - id: trailing-whitespace
         args: ["--markdown-linebreak-ext=md"]
 
+  # Add Ruff for lightning-fast linting and formatting (optional)
+  - repo: https://github.com/astral-sh/ruff-pre-commit
+    # Check for the latest tag on GitHub: https://github.com/astral-sh/ruff-pre-commit/releases
+    rev: v0.4.4
+    hooks:
+      # Run the linter.
+      - id: ruff
+        args: [--fix, --ignore, E722] # Add --fix to automatically fix issues
+      # Optional: Uncomment the line below to run the formatter instead of Black
+      # - id: ruff-format
+
+  - repo: https://github.com/pycqa/isort
+    rev: 5.13.2
+    hooks:
+      - id: isort
+        name: isort (python)
+        args: ["--profile", "black", "--filter-files"]
+
 # Too much noise from Yaspeller (have to extend the dictionary too often),
 # better to run manually from time to time
 # `yaspeller -l en mlcourse_ai_jupyter_book/book/`
-# 
+#
 #  - repo: https://github.com/hcodes/yaspeller.git
 #    rev: v8.0.0
 #    hooks:
 #      - id: yaspeller
 #        types: [markdown]
-#        files: \.md$
+#        files: \.md$

CONTRIBUTING.md

@@ -1,5 +1,3 @@
 Small typos in Jupyter notebooks can be fixed with [Pull Requests](https://github.com/Yorko/mlcourse.ai/pulls), followed by a comment, describing the fix (obligatory).
 
 If you think, there is a more serious error in course materials (ex. incorrect math designation), you can open an [Issue](https://github.com/Yorko/mlcourse.ai/issues).
-
-If you want to proofread course materials and/or develop new ones (ex. assignments), please contact Yury (@yorko) via [ODS](ods.ai) Slack.  

README.md

@@ -104,6 +104,12 @@ The bonus pack contains 10 assignments, in some of them you are challenged to be
 2. Predicting popularity of a Medium article. [Kaggle Inclass](https://www.kaggle.com/c/how-good-is-your-medium-article)
 3. DotA 2 winner prediction. [Kaggle Inclass](https://www.kaggle.com/c/mlcourse-dota2-win-prediction)
 
+### Building course material as a Jupyter Book
+
+1. Install [uv](https://github.com/astral-sh/uv) for dependency management: `pip install uv`;
+1. Run `uv sync` to install project dependencies;
+1. Run `uv run jb build mlcourse_ai_jupyter_book` – this will take a while, the output is found in the [mlcourse_ai_jupyter_book/_build](mlcourse_ai_jupyter_book/_build) folder. Namely, [mlcourse_ai_jupyter_book/_build/html/index.html](mlcourse_ai_jupyter_book/_build/html/index.html) is what gets rendered at the [mlcourse.ai](mlcourse.ai) main page. 
+
 ### Citing mlcourse.ai
 
 If you happen to cite [mlcourse.ai](https://mlcourse.ai) in your work, you can use this BibTeX record: