Refactor code structure for improved readability and maintainability

Author: wilfredinni

docs/blog/python-3-14-breaking-free-from-gil.md

@@ -20,8 +20,6 @@ meta:
 
 <blog-title-header :frontmatter="frontmatter" title="Breaking Free: Python 3.14 Shatters the GIL Ceiling" />
 
-<img :src="frontmatter.socialImage" alt="Python 3.14 GIL" class="w-full rounded-lg my-4" />
-
 Python 3.14 is shaping up to be an exciting release that brings significant improvements to the language while maintaining Python's signature simplicity. **The official release is scheduled for October 7, 2025**, but you can already try out the beta versions that are currently available. Let me walk you through what makes Python 3.14 special and why it matters for both new and experienced Python developers.
 
 ## The Big Changes: What's New in Python 3.14
@@ -181,4 +179,4 @@ The development team has been following this schedule closely, with regular beta
 
 **If you're maintaining Python code**: Most existing code will continue to work with Python 3.14, but you'll benefit from better performance and improved debugging capabilities.
 
-Python 3.14 continues Python's tradition of gradual improvement while introducing some truly significant enhancements. With its October 2025 release approaching, now is a great time to start exploring what this new version has to offer. Whether you're just starting with Python or you're a seasoned developer, Python 3.14 promises to make your coding experience better, faster, and more secure.
+Python 3.14 continues Python's tradition of gradual improvement while introducing some truly significant enhancements. With its October 2025 release approaching, now is a great time to start exploring what this new version has to offer. Whether you're just starting with Python or you're a seasoned developer, Python 3.14 promises to make your coding experience better, faster, and more secure.

docs/blog/python-comprehensions-step-by-step.md

@@ -20,8 +20,6 @@ meta:
 
 <blog-title-header :frontmatter="frontmatter" title="Python Comprehensions: A step by step Introduction" />
 
-<img :src="frontmatter.socialImage" alt="Python 3.14 GIL" class="w-full rounded-lg my-4" />
-
 _List Comprehensions_ are a special kind of syntax that let us create lists out of other lists ([Wikipedia](https://en.wikipedia.org/wiki/List_comprehension), [The Python Tutorial](https://docs.python.org/3/tutorial/datastructures.html#list-comprehensions)). They are incredibly useful when dealing with numbers and with one or two levels of nested _for loops_, but beyond that, they can become a little too hard to read.
 
 In this article, we are going to make some _For Loops_ and rewrite them, step by step, into _Comprehensions_.

docs/blog/python-projects-with-poetry-and-vscode-part-1.md

@@ -4,6 +4,7 @@ description: We'll use Poetry to start a simple project, manage dependencies and
 date: April 12, 2019
 updated: July 3, 2022
 tags: python, intermediate, vscode, packaging
+socialImage: /blog/poetry-1.png
 ---
 
 <route lang="yaml">
@@ -14,6 +15,7 @@ meta:
     date: April 12, 2019
     updated: July 3, 2022
     tags: python, intermediate, vscode, packaging
+    socialImage: /blog/poetry-1.png
 </route>
 
 <blog-title-header :frontmatter="frontmatter" title="Python projects with Poetry and VSCode Part 1" />

docs/blog/python-projects-with-poetry-and-vscode-part-2.md

@@ -4,6 +4,7 @@ description: In this second part, we'll add our virtual Environment to VSCode, u
 date: April 23, 2019
 updated: July 3, 2022
 tags: python, intermediate, vscode, packaging
+socialImage: /blog/poetry-2.png
 ---
 
 <route lang="yaml">
@@ -14,6 +15,7 @@ meta:
     date: April 23, 2019
     updated: July 3, 2022
     tags: python, intermediate, vscode, packaging
+    socialImage: /blog/poetry-2.png
 </route>
 
 <blog-title-header :frontmatter="frontmatter" title="Python projects with Poetry and VSCode Part 2" />

docs/blog/python-projects-with-poetry-and-vscode-part-3.md

@@ -4,6 +4,7 @@ description: Finally, in this third part, we'll write a sample library, build ou
 date: May 21, 2019
 updated: July 3, 2022
 tags: python, intermediate, vscode, packaging
+socialImage: /blog/poetry-3.png
 ---
 
 <route lang="yaml">
@@ -14,6 +15,7 @@ meta:
     date: May 21, 2019
     updated: July 3, 2022
     tags: python, intermediate, vscode, packaging
+    socialImage: /blog/poetry-3.png
 </route>
 
 <blog-title-header :frontmatter="frontmatter" title="Python projects with Poetry and VSCode Part 3" />

docs/blog/python-uv-package-manager.md

@@ -20,8 +20,6 @@ meta:
 
 <blog-title-header :frontmatter="frontmatter" title="UV: The Lightning-Fast Python Package Manager" />
 
-<img :src="frontmatter.socialImage" alt="UV Package Manager" class="w-full rounded-lg my-4" />
-
 In the Python ecosystem, package management has long been a pain point for developers. Traditional tools like <router-link to="/cheatsheet/virtual-environments">pip</router-link>, <router-link to="/cheatsheet/virtual-environments#virtualenv">virtualenv</router-link>, and pip-tools get the job done, but often with frustrating performance limitations and workflow complexities. Enter UV (pronounced "you-vee"), a revolutionary Python package manager written in Rust that's transforming how developers manage their Python environments and dependencies.
 
 ## What is UV?
@@ -248,4 +246,4 @@ UV represents a significant leap forward in Python package management, offering
 
 Whether you're starting a new project or migrating an existing one, UV provides a robust solution that can significantly improve your Python development workflow. Its compatibility with existing tools makes it an easy choice for developers looking to modernize their toolchain without disrupting their current processes.
 
-As the Python ecosystem continues to evolve, tools like UV demonstrate how modern technologies like Rust can enhance the development experience while maintaining the simplicity and accessibility that Python developers value.
+As the Python ecosystem continues to evolve, tools like UV demonstrate how modern technologies like Rust can enhance the development experience while maintaining the simplicity and accessibility that Python developers value.