diff --git a/doc/conf.py b/doc/conf.py
index 2b706db..b4bf7b1 100644
--- a/doc/conf.py
+++ b/doc/conf.py
@@ -23,7 +23,7 @@
 
 source_suffix = ['.rst', '.md']
 
-extensions = ['myst_parser','sphinx.ext.autodoc', 'sphinx.ext.autosummary','sphinx_copybutton']
+extensions = ['myst_parser','sphinx.ext.autodoc', 'sphinx.ext.autosummary','sphinx_copybutton','sphinx_contributors']
 
 templates_path = ['_templates']
 exclude_patterns = ['_build', 'Thumbs.db', '.DS_Store']
diff --git a/doc/contributors.rst b/doc/contributors.rst
new file mode 100644
index 0000000..2fef78f
--- /dev/null
+++ b/doc/contributors.rst
@@ -0,0 +1,15 @@
+Contributors
+============
+
+We would like to express our sincere gratitude to the following
+contributors who have made valuable contributions
+
+
+.. contributors:: python-world/Newsletter
+    :avatars:
+    :contributions:
+    :order: DESC
+
+Thank you for your dedication and for enriching the Python community
+with your valuable insights, code snippets, and contributions! Happy
+coding! 🐍✨
\ No newline at end of file
diff --git a/doc/index.rst b/doc/index.rst
index fcccbfb..271c69f 100644
--- a/doc/index.rst
+++ b/doc/index.rst
@@ -9,4 +9,8 @@ Python-world Newsletter
 .. toctree::
    :maxdepth: 2
 
-   modules
\ No newline at end of file
+   contributors
+   modules
+   
+   
+
diff --git a/doc/modules.rst b/doc/modules.rst
index a1e8653..dceb258 100644
--- a/doc/modules.rst
+++ b/doc/modules.rst
@@ -3,4 +3,6 @@
    :maxdepth: 4
 
    newsletters/index.2023
-   newsletters/index.2022
\ No newline at end of file
+   newsletters/index.2022
+
+..  contributors:: sphinx-doc/sphinx
\ No newline at end of file
diff --git a/doc/newsletters/2023/WEEK_29.md b/doc/newsletters/2023/WEEK_29.md
new file mode 100644
index 0000000..aad0bb4
--- /dev/null
+++ b/doc/newsletters/2023/WEEK_29.md
@@ -0,0 +1,270 @@
+
+# Week 29 - Jully 2023
+
+## Introduction and Highlights
+
+
+Welcome to the latest edition of the Python-World Newsletter! We bring
+you the most exciting updates and insightful content from the Python
+community. In this week’s edition, we have some incredible code
+snippets, community spotlights, upcoming events, useful resources, and
+more. Let’s dive in!
+
+## Code Snippets
+
+### 1. 💼 Simplifying Python Classes with Dataclasses.
+
+Python dataclasses are a fantastic addition to the Python standard library that simplifies the creation of classes for storing data. 🏰💾 With just a few lines of code, you can define classes that come with built-in methods for easy attribute initialization, comparison, and more. 🎁💻
+
+**🌟 Key Features of Python Dataclasses:**
+
+✅ Automatic attribute initialization - Say goodbye to writing tedious `__init__` methods!
+
+✅ Concise and clean class definitions using decorators.
+
+✅ Built-in methods for equality comparison, representation, and more.
+
+✅ Customizable field defaults and ordering.
+
+✅ Full integration with Python's standard library.
+
+
+**📝 Simple Examples to Get Started:**
+
+```python
+from dataclasses import dataclass
+
+@dataclass
+class Point:
+    x: int
+    y: int
+
+# Creating instances
+p1 = Point(1, 2)
+p2 = Point(3, 4)
+
+# Accessing attributes
+print(f"Point 1: x={p1.x}, y={p1.y}")
+print(f"Point 2: x={p2.x}, y={p2.y}")
+```
+
+**🚀 Use Cases for Python Dataclasses:**
+1. **Configuration Objects**: Use dataclasses to create clean and straightforward configuration objects for your applications. 🛠️🔧
+2. **Data Containers**: Dataclasses are perfect for holding and manipulating structured data, such as CSV records or JSON data. 📂🗃️
+3. **API Responses**: Parse API responses into dataclass instances, making the data easy to work with and comprehend. 📡💼
+4. **Immutable Objects**: By default, dataclasses are immutable, making them suitable for representing read-only data. 🔒🔏
+5. **Testing**: Dataclasses can be incredibly useful when writing test cases with complex input data. 🧪🧾
+
+**💡 Pro Tip:**
+Don't forget to explore advanced dataclass features like default values, ordering, and post-init processing. Dataclasses are highly customizable to fit your specific needs! 🔍🔧
+
+
+
+### 2. 🔦 Exploring Python's Hidden Secrets: The inspect Module
+
+The `inspect` module is your backstage pass to Python's internals. 🎭🎫 It provides functions for introspecting live objects like modules, classes, functions, and more. With `inspect`, you can retrieve information about code objects, inspect callables' signatures, and even perform source code analysis. 🕵️‍♀️📝
+
+**🔍 Key Features of `inspect`:**
+
+✅ Retrieving information about objects and modules at runtime.
+
+✅ Accessing source code and analyzing the structure of Python functions and classes.
+
+✅ Inspecting and manipulating the call signature of functions.
+
+✅ Extracting and examining documentation strings.
+
+✅ Finding the source file and line number of code objects.
+
+**📝 Examples to Get Started:**
+```python
+import inspect
+
+# Get the source code of a function
+def greet(name,age):
+    return f"Hello, {name}!"
+
+source_code = inspect.getsource(greet)
+print('Source code:\n',source_code)
+
+# Inspect a function's signature
+signature = inspect.signature(greet)
+print("Signature:",signature)
+
+
+
+'''
+Output
+Source code:
+ def greet(name,age):
+    return f"Hello, {name}!"
+
+Signature: (name, age)
+'''
+
+```
+
+**🚀 Use Cases for `inspect`:**
+1. **Debugging and Logging**: Use `inspect` to gather information about the calling frames for powerful debugging and logging capabilities. 🐞📝
+2. **Documentation Generation**: Automate the generation of documentation by extracting docstrings and function signatures with `inspect`. 📚📜
+3. **Dynamic Function Invocation**: Dynamically call functions with the correct arguments using `inspect` to inspect their signatures. 📞🔧
+4. **Code Analysis**: Perform static code analysis and gather insights about your codebase using `inspect` functions. 📊📋
+5. **Custom Decorators**: Create custom decorators that can automatically introspect and modify the behavior of decorated functions. 🎭🔮
+
+**💡 Pro Tip:**
+Experiment with `inspect` interactively in a Python REPL to get a better feel for its capabilities. 🔄🔬
+
+
+
+
+### 3. 🔧 The Python Package Manager: Unleashing the Power of pip 
+
+
+`pip` is your go-to tool for installing, managing, and distributing Python packages. 🛠️📚 With a vast repository of open-source libraries available on the Python Package Index (PyPI), `pip` makes it a breeze to enhance your Python projects with external functionality. 🌟📦
+
+**🌟 Key Features of `pip`:**
+
+✅ Installing packages with a simple command - `pip install package-name`.
+
+✅ Managing package versions and dependencies effortlessly.
+
+✅ Listing installed packages - `pip list`.
+
+✅ Upgrading packages to the latest versions - `pip install --upgrade package-name`.
+
+✅ Creating virtual environments for isolated package installations.
+
+**📝 Examples to Get Started:**
+
+```python
+# Install a package
+# Example: Installing the popular requests library
+# pip install requests
+
+# Listing installed packages
+# pip list
+
+# Upgrading a package
+# Example: Upgrading requests to the latest version
+# pip install --upgrade requests
+```
+
+**🚀 Use Cases for `pip`:**
+
+1. **Library Installation**: Use `pip` to easily install third-party libraries like NumPy, pandas, Django, and more, saving you time and effort. 📚💡
+2. **Package Management**: Keep your project's dependencies organized and up to date with `pip`, ensuring smooth collaboration. 📦🔄
+3. **Virtual Environments**: Create virtual environments to isolate package installations and avoid version conflicts. 🌐🧪
+4. **Continuous Integration**: Utilize `pip` to install project dependencies in CI/CD pipelines for automated testing and deployment. 🚀🔧
+5. **Package Distribution**: Share your Python projects with others by distributing them as packages on PyPI using `pip`. 🚀🌟
+
+**💡 Pro Tip:**
+Explore `pip`'s extensive options like installing packages from version control repositories or installing specific package versions to suit your project's requirements. 🔄🎛️
+
+
+### 4. 🎁 Unpacking the Magic of Tuples
+
+Tuples are one of Python's versatile data structures, and unpacking allows you to extract individual elements from a tuple effortlessly. 🎩🌟 It's like unwrapping a present and discovering the treasures within! 🎁💎
+
+**🧳 Packing Tuples for Efficiency:**
+Packing, on the other hand, involves creating tuples by grouping elements together. 🎒🌐 It's like packing your essentials for a journey, ensuring everything stays organized and accessible. 🧳🗺️
+
+**📝 Examples to Get Started:**
+```python
+# Tuple Unpacking
+point = (10, 20)
+x, y = point
+print(f"x: {x}, y: {y}")
+
+# Extended Unpacking
+numbers = (1, 2, 3, 4, 5)
+first, *middle, last = numbers
+print(f"First: {first}, Middle: {middle}, Last: {last}")
+
+# Tuple Packing
+person = "John", 30, "Engineer"
+print(person)
+```
+
+**🚀 Use Cases for Tuple Unpacking and Packing:**
+1. **Multiple Return Values**: Unpack tuples to receive multiple return values from functions in one assignment. 📤🔁
+2. **Swapping Values**: Swap variable values without using a temporary variable using tuple unpacking. ↔️🔄
+3. **Iterating over Multiple Elements**: Unpack tuples while iterating over lists or other iterable data structures. 🔄📑
+4. **Function Arguments**: Use tuple packing to pass multiple arguments to a function in a single parameter. 📋🎛️
+5. **Namedtuples**: Unpack namedtuples for concise access to individual attributes. 🏷️🗃️
+
+**💡 Pro Tip:**
+Remember that both tuple unpacking and packing support extended syntax, allowing you to handle multiple elements at once! 🎯🎯
+
+
+
+### 5. ➗ Divmod - Dividing and Modulo Together
+
+`divmod` is a Python built-in function that takes two numbers and returns a pair of values - the result of integer division and the remainder (modulo). 🧮🔢 It's like getting two for the price of one! 💲🎁
+
+**📝 Examples to Get Started:**
+```python
+# Using divmod
+result = divmod(20, 3)
+print(f"Result of divmod(20, 3): {result}")
+
+# Using divmod in a loop
+quotients = []
+remainders = []
+for num in range(1, 6):
+    q, r = divmod(20, num)
+    quotients.append(q)
+    remainders.append(r)
+print(f"Quotients: {quotients}")
+print(f"Remainders: {remainders}")
+```
+
+**🚀 Use Cases for `divmod`:**
+1. **Time Conversion**: Convert seconds into hours, minutes, and remaining seconds using `divmod`. 🕐🕒
+2. **Loop Iterations**: Use `divmod` in loops to efficiently calculate quotients and remainders for a range of numbers. 🔃🔢
+3. **Formatting**: Combine `divmod` results to display complex numerical data elegantly. 🎨🔠
+4. **Resource Allocation**: Distribute resources evenly among a given number of entities using `divmod`. 💻📊
+5. **Currency Handling**: Calculate the number of denominations needed when making change with `divmod`. 💲💸
+
+**💡 Pro Tip:**
+Remember that `divmod` can be a powerful tool to optimize certain mathematical operations and simplify your code. 🧮🚀
+
+
+## Upcoming Events
+
+
+| Event Name       | Date    | Location  | URL                       |
+|------------------|---------|-----------|---------------------------|
+| North Bay Python 2023       | July 29th & 30th | Petaluma, California  | [Website](https://dev.events/conferences/north-bay-python-petaluma-6-2023) |
+| PyDelhi Conference 2023         | Aug 19th & 20th | Delhi  | [Website](https://conference.pydelhi.org/) |
+| PyCon 2023       | Sept 29 To Oct 2 | HYDRABAD  | [Website](https://in.pycon.org/2023/) |
+
+
+Stay updated with the latest events and conferences in the Python
+community. Mark your calendars and don’t miss out on these exciting
+opportunities to learn, network, and engage with fellow Python
+enthusiasts!
+
+
+
+Contact
+-------
+
+Sure! Here's the text formatted in proper Markdown format:
+
+If you have any questions or need further assistance, feel free to reach out to us at [pythonworldhelp@gmail.com](mailto:pythonworldhelp@gmail.com) or join the discussion on our [GitHub Discussions](https://github.com/Python-World/newsletter/discussions) board.
+
+
+## Contributors
+
+
+We would like to express our sincere gratitude to the following
+contributors who have made valuable contributions to this edition of the
+Python-World Newsletter:
+
+- [Ravishankar Chavare](https://github.com/chavarera/)
+- [Aahnik Daw](https://github.com/aahnik/)
+
+
+Thank you for your dedication and for enriching the Python community
+with your valuable insights, code snippets, and contributions! Happy
+coding! 🐍✨
diff --git a/doc/newsletters/index.2023.rst b/doc/newsletters/index.2023.rst
index c959100..c94d462 100644
--- a/doc/newsletters/index.2023.rst
+++ b/doc/newsletters/index.2023.rst
@@ -2,7 +2,8 @@
 ==========
 .. toctree::
    :maxdepth: 4
-
+    
+    2023 Jully - Week 29 <2023/WEEK_29.md>
     2023 Jully - Week 28 <2023/WEEK_28.md>
     2023 Jully - Week 27 <2023/WEEK_27.md>
     2023 June - Week 26 <2023/WEEK_26.rst>
diff --git a/requirements.txt b/requirements.txt
index 0322066..49a0993 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,5 +1,6 @@
-sphinx_copybutton
-ghp-import
 furo
 sphinx
-myst-parser
\ No newline at end of file
+ghp-import
+myst-parser
+sphinx_copybutton
+sphinx-contributors
\ No newline at end of file