docs: update v1.3.0 release notes with Python and Data Science restructuring details

Author: Tanu-N-Prabhu

Release Notes/v1.3.0.md

@@ -1,4 +1,4 @@
-## Version 1.3.0 - January 1, 2026
+## Version 1.3.0 - January 5, 2026
 
 > **Summary:**  
 > This release expands the repository’s documentation and thought-leadership content by adding a new reflective Python article to the LinkedIn folder and introducing a dedicated **Release Notes badge** in the README for improved navigation and discoverability of repository updates.
@@ -74,6 +74,36 @@
   - Moved the notebook into **`01_Python_Basics`**  
   - Improved accuracy, readability, and placement of foundational Python concepts
 
+* **Refactored:** Introduced a dedicated Data Science structure outside core Python  
+  - Created a top-level **`Data_Science/`** directory to separate domain-specific content from Python fundamentals  
+  - Established clear conceptual boundaries between language learning and applied data workflows  
+  - Improved long-term scalability and curriculum-style navigation
+
+* **Refactored:** Organized pandas-based learning materials  
+  - Moved pandas-focused notebooks out of the Python directory  
+  - Renamed and standardized pandas file naming conventions  
+  - Grouped pandas content under **`Data_Science/pandas/`** for clarity and reuse
+
+* **Refactored:** Structured data preprocessing content  
+  - Organized preprocessing-related notebooks (including one-hot encoding) under **`Data_Science/preprocessing/`**  
+  - Improved alignment with real-world data science pipelines  
+  - Reduced confusion between Python syntax and data preparation techniques
+
+* **Refactored:** Added a dedicated Exploratory Data Analysis (EDA) section  
+  - Created an **`eda/`** folder under **`Data_Science/`**  
+  - Moved EDA-focused content into a clearly defined analytical phase  
+  - Reflected industry-standard data science workflows
+
+* **Refactored:** Organized data acquisition and API-based notebooks  
+  - Moved external API usage (e.g., Google Trends API) out of Python fundamentals  
+  - Introduced a **`Data_Science/data_sources/`** section  
+  - Clarified the distinction between API consumption and Python language concepts
+
+* **Refactored:** Added a Data Science introduction section  
+  - Created **`Data_Science/00_Introduction/`** for conceptual onboarding content  
+  - Placed high-level, narrative learning material separately from implementation notebooks  
+  - Improved beginner-friendly entry points into the Data Science learning path
+
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