**A year filled with AI innovations has come to an end, and it's time to reflect. First, we want to thank all our readers. We really appreciate your support!**
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We complete another successful year of content creation on Tinz Twins Hub. In this article, we want to recap all the topics we’ve covered this year. Enjoy!
## 😉 Insights
* [Our Journey to Become a Data Scientist](https://tinztwinshub.com/insights/our-journey-to-become-a-data-scientist/)
## 🤖 Generative AI, RAG, and AI Agents
* [Build a Local RAG App to Chat with Earnings Reports](https://tinztwinshub.com/investment-research/build-a-local-rag-app-to-chat-with-earnings-reports/)
* [Build a financial multi-agent system with AG2 (formerly AutoGen) and Ollama](https://tinztwinshub.com/data-science/build-a-financial-multi-agent-system-with-ag2-and-ollama/)
* [Build a Local Chatbot in Minutes with Chainlit](https://tinztwinshub.com/software-engineering/build-a-local-chatbot-in-minutes-with-chainlit/)
* [Mistral’s Codestral - Create a local AI Coding Assistant for VSCode](https://tinztwinshub.com/software-engineering/mistrals-codestral-create-a-local-ai-coding-assistant-for-vscode/)
* [7 Things You Should Know When Using LLMs in 2024](https://tinztwinshub.com/data-science/7-things-you-should-know-when-using-llms-in-2024/)
## 🐍 Python in Finance
* [Dive into Investment Research - A Beginner’s Guide to the OpenBB Platform](https://tinztwinshub.com/investment-research/openbb-platform/)
* [Time Series Analysis - A Beginner’s Guide with statsmodels](https://tinztwinshub.com/data-science/time-series-analysis-a-beginners-guide-with-statsmodels/)
* [Mastering Bollinger Bands - A Comprehensive Guide with Python and OpenBB](https://tinztwinshub.com/investment-research/mastering-bollinger-bands-a-comprehensive-guide-with-python-and-openbb/)
* [Time Shifting in Pandas using the time series data from Tesla stock](https://tinztwinshub.com/data-science/time-shifting-in-pandas-using-the-time-series-data-from-tesla-stock/)
* [Tesla’s Stock Market data - Mastering Time Resampling with OpenBB and Pandas](https://tinztwinshub.com/data-science/teslas-stock-market-data-mastering-time-resampling-with-openbb-and-pandas/)
* [Demystifying DateTimeIndex in Pandas for Time Series Analysis](https://tinztwinshub.com/data-science/demystifying-datetimeindex-in-pandas-for-time-series-analysis/)
## 📊 Statistics
* [Introduction to ARIMA Models for Newbies](https://tinztwinshub.com/data-science/introduction-to-arima-models-for-newbies/)
* [Time Series Analysis - The Power of Exponentially Weighted Moving Average](https://tinztwinshub.com/investment-research/time-series-analysis-exponentially-weighted-moving-average/)
* [Mastering Time Series Analysis - An Introduction to ETS Models](https://tinztwinshub.com/data-science/time-series-introduction-ets-models/)
* [A Visual Guide to Ensemble Methods + Practical Example](https://tinztwinshub.com/data-science/a-visual-guide-to-ensemble-methods-practical-example/)
* [Struggling with Linear Regression? - Theory and Practice Clearly explained](https://tinztwinshub.com/data-science/struggling-with-linear-regression-theory-and-practice-clearly-explained/)
* [How to Efficiently Allocate Your Finances Across Multiple Investments](https://tinztwinshub.com/investment-research/effectively-distributing-your-funds-among-various-investment-options/)
## 💻 Development and Operations
* [Using Miniconda x86_64 & Apple Silicon Side-by-Side on Your Mac](https://tinztwinshub.com/data-science/miniconda-on-apple-silicon-macbook/)
* [A beginner-friendly introduction to Docker](https://tinztwinshub.com/software-engineering/docker-basics/)
**BONUS:** If you want to stay updated on AI news next year, check out our [Magic AI Newsletter](https://news.tinztwinshub.com/). There, you receive the three most exciting AI news stories of the week (PLUS: Best AI Tools) in just 5 minutes, delivered directly to your inbox.
