init PyConIT 2024 (#97)

Author: Kislovskiy

.gitignore

@@ -4,3 +4,6 @@
 /2023_EuroSciPy/.2023_EuroSciPy/
 *.venv/
 *.egg-info/
+.idea
+.DS_Store
+.hypothesis

2023_PyConIT/__init__.py

@@ -0,0 +1,2 @@
+# GitHub syntax highlighting
+pixi.lock linguist-language=YAML

2024_PyConIT/.gitattributes

@@ -0,0 +1,3 @@
+# pixi environments
+.pixi
+*.egg-info

2024_PyConIT/.gitignore

@@ -0,0 +1,31 @@
+# Simplifying Python Code through the Lens of Functional Programming
+
+A repo for my PyConIT talk:
+https://2024.pycon.it/en/event/simplifying-python-code-through-the-lens-of-functional-programming
+
+## Project Overview
+This project is a collection of Python scripts demonstrating various approaches to data processing pipelines.
+The main focus is on functional programming techniques and error handling in Python.
+The scripts read data from a CSV file, perform various transformations, and compute the average score.
+
+## Getting Started
+To run the scripts, you need to have pixi installed. If you don't have pixi, you can install it following the instructions at:
+https://pixi.sh/latest/
+
+## Scripts
+
+The `src/pipeline` directory contains several Python scripts, each demonstrating a different approach to building a
+data processing pipeline:
+
+* [pipeline_a_polars.py](./src/pipeline/pipeline_a_polars.py): Uses the Polars library to compute the average score.
+* [pipeline_b_imperative.py](./src/pipeline/pipeline_b_imperative.py): An imperative approach to building the pipeline.
+* [pipeline_c_imperative_with_one_thing.py](./src/pipeline/pipeline_c_imperative_with_one_thing.py): An improved version of the imperative approach.
+* [pipeline_d_with_currying.py](./src/pipeline/pipeline_d_with_currying.py): Uses currying to build the pipeline.
+* [pipeline_e_function_composition.py](./src/pipeline/pipeline_e_function_composition.py): Uses function composition to build the pipeline.
+* [pipeline_f_error_handling.py](./src/pipeline/pipeline_f_error_handling.py): Focuses on error handling in the pipeline.
+* [pipeline_g_pymonad.py](./src/pipeline/pipeline_g_pymonad.py): Uses the PyMonad library to build the pipeline.
+
+## Contributing
+Contributions are welcome. Please submit an issue if you have something to add or fix.
+
+## Resources