How to Fix “ModuleNotFoundError: No module named ‘pdfkit’” in Mr. Holmes (Kali Linux)

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How to Fix “ModuleNotFoundError: No module named ‘pdfkit’” in Mr. Holmes (Kali Linux) Introduction Mr. Holmes is a popular OSINT (Open-Source Intelligence) tool used in ethical hacking and cybersecurity learning. However, many beginners face an error while running the tool on Kali Linux: ModuleNotFoundError: No module named 'pdfkit' This error can be confusing, especially for new users. In this article, you will learn why this error occurs and how to fix it step by step in a clean and safe way . Error Description When trying to run Mr. Holmes using the command: sudo python3 MrHolmes.py You may see the following traceback ending with: ModuleNotFoundError: No module named 'pdfkit' Some users also try to activate a virtual environment and get: source .lib_venv/bin/activate source: no such file or directory Why This Error Happens This issue usually occurs due to one or more of the following reasons: 1. Virtual Environment Was Not Created You attempted to activate a virtual...
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TOP 20 PYTHON MODULES

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 Python has a rich ecosystem of modules and libraries that extend its capabilities. Here’s a list of 20 popular Python modules along with brief explanations of each:



### 1. **NumPy**

   - **Purpose**: Provides support for large, multi-dimensional arrays and matrices, along with a collection of mathematical functions to operate on these arrays.

   - **Use Cases**: Numerical computations, data manipulation.


### 2. **Pandas**

   - **Purpose**: Offers data structures and functions needed to work with structured data, particularly DataFrames.

   - **Use Cases**: Data analysis, manipulation, and preparation.


### 3. **Matplotlib**

   - **Purpose**: A plotting library that produces static, interactive, and animated visualizations in Python.

   - **Use Cases**: Data visualization, plotting graphs and charts.


### 4. **Seaborn**

   - **Purpose**: Built on top of Matplotlib, it provides a high-level interface for drawing attractive and informative statistical graphics.

   - **Use Cases**: Data visualization with a focus on statistical plots.


### 5. **Scikit-Learn**

   - **Purpose**: A machine learning library that provides simple and efficient tools for data mining and data analysis.

   - **Use Cases**: Machine learning algorithms, model evaluation, and data preprocessing.


### 6. **TensorFlow**

   - **Purpose**: An end-to-end open-source platform for machine learning with comprehensive tools, libraries, and community resources.

   - **Use Cases**: Deep learning, neural networks, and artificial intelligence.


### 7. **Keras**

   - **Purpose**: An API for building and training deep learning models, designed to be user-friendly and modular.

   - **Use Cases**: Deep learning model development, neural networks.


### 8. **Flask**

   - **Purpose**: A lightweight web framework for building web applications and APIs.

   - **Use Cases**: Web development, RESTful APIs.


### 9. **Django**

   - **Purpose**: A high-level web framework that encourages rapid development and clean, pragmatic design.

   - **Use Cases**: Full-stack web development, database-driven websites.


### 10. **Requests**

   - **Purpose**: A simple and elegant HTTP library for sending HTTP requests and handling responses.

   - **Use Cases**: Web scraping, interacting with web APIs.


### 11. **Beautiful Soup**

   - **Purpose**: A library for parsing HTML and XML documents, providing Pythonic idioms for iterating, searching, and modifying the parse tree.

   - **Use Cases**: Web scraping, HTML/XML parsing.


### 12. **Scrapy**

   - **Purpose**: An open-source and collaborative web crawling framework for extracting the data you need from websites.

   - **Use Cases**: Web scraping, data mining.


### 13. **SQLAlchemy**

   - **Purpose**: A SQL toolkit and Object-Relational Mapping (ORM) library for Python, providing a full suite of well-known enterprise-level persistence patterns.

   - **Use Cases**: Database access, ORM.


### 14. **Pytest**

   - **Purpose**: A framework that makes building simple and scalable test cases easy, with support for fixtures and various plugins.

   - **Use Cases**: Unit testing, test automation.


### 15. **Pillow**

   - **Purpose**: A library for image processing, adding capabilities to create, modify, and manipulate images.

   - **Use Cases**: Image manipulation, file format conversions.


### 16. **Pygame**

   - **Purpose**: A library for making video games, providing functionalities for graphics, sound, and input handling.

   - **Use Cases**: Game development, multimedia applications.


### 17. **NLTK**

   - **Purpose**: The Natural Language Toolkit for working with human language data (text), providing libraries for text processing and analysis.

   - **Use Cases**: Natural language processing, linguistic data analysis.


### 18. **SymPy**

   - **Purpose**: A Python library for symbolic mathematics, allowing for algebraic computations, calculus, and equation solving.

   - **Use Cases**: Symbolic math, algebraic computations.


### 19. **OpenCV**

   - **Purpose**: A library focused on real-time computer vision, offering tools for image processing, video analysis, and computer vision tasks.

   - **Use Cases**: Computer vision, image and video processing.


### 20. **Plotly**

   - **Purpose**: A graphing library that makes interactive, publication-quality graphs online, with a focus on web-based visualization.

   - **Use Cases**: Interactive data visualization, web-based graphing.


Each of these modules is widely used in its respective domain and can significantly enhance your Python development experience, depending on your specific needs and projects.

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