Mastering Python - Networking and Security

Learn the ins and outs of scripting in Python and how to work with Python libraries for networking and forensics.

4.65 (683 reviews)
Udemy
platform
English
language
Network & Security
category
instructor
Mastering Python - Networking and Security
6,129
students
5 hours
content
Jan 2017
last update
$49.99
regular price

What you will learn

create, run, and debug Python scripts and apply that knowledge to handling common networking and forensics tasks

use Python to interact with MySQL databases and execute commands

Why take this course?

In this advanced course, you'll first learn how to create, run, and troubleshoot scripts with Python and then move through specific programming libraries and technologies that allow you to tackle several networking tasks and security measures. No experience is required, although any programming knowledge would be an asset.

You will start with an overview of Python, including how to create and run scripts, use threads, and handle exceptions. From there, Ric will teach you how to network, including how to use the Python libraries for network scripting and develop basic scripts with network functionality. This video tutorial will also cover HTTP programming, security scripting, and forensic scripting. Finally, you will learn about Twisted Python, including the Echo server and HTTP client. Once you have completed the course, you will be fully capable of debugging and security testing using Python, as well as writing Python scripts. Working files are included, allowing you to follow along with the author throughout the lessons.

Our review

📫 **Course Overview** The global course rating stands at a solid **4.25**, with recent reviews providing a mix of opinions. Most reviewers find the course beneficial for beginners or those looking to expand their knowledge on Python and networking concepts. However, some advanced users have highlighted compatibility issues and the need for more in-depth concept explanations. **Pros:** - **Comprehensive Introduction**: The course is appreciated for its introduction to Python within the context of networking, providing building blocks that can be applied to more advanced projects later on. - **Real-World Examples**: Many reviewers praise the specific and practical examples provided in the course, which are highly relevant to real-world scenarios, particularly for penetration testers. - **Clear Instruction**: The instructor's voice is described as extremely clear, and the course structure avoids unnecessary fluff, focusing on the essential material. - **Usefulness for Beginners**: Several reviewers who are new to Python or have a background in UNIX/Linux security find the course very useful for their skill development. - **Clear Code Explanation**: The step-by-step code explanations are seen as effective, with a clear focus on what is being taught without delving too much into theory at first. **Cons:** - **Outdated Content**: Some reviewers note that the course was issued in 2014 and has not been updated since, which may lead to some deprecated modules or concepts being taught. - **Compatibility Issues**: There are concerns about the scripts' compatibility with current systems, as some require adaptation due to library version changes. - **Need for Conceptual Explanation**: A few reviewers suggest that while the code is explained well, a deeper dive into network engineering concepts would be preferable before diving into the code. - **Environment Setup**: It is recommended that the environment setup process, including installing necessary tools and an overview of PyCharm, should be outlined at the beginning of the course to facilitate a smoother learning experience. - **Instructor Engagement**: Some students are disappointed by the lack of response from the instructor to questions posted in the course, which is seen as poor form. **Recommendations:** - **Update Content**: The course content should be updated to reflect the latest Python versions and best practices to ensure relevance and avoid compatibility issues. - **Improve Setup Instructions**: Clear instructions for setting up the necessary tools and environment at the outset would greatly enhance the learning experience. - **Enhance Conceptual Learning**: Incorporating more conceptual explanations alongside code examples could provide a more holistic understanding of network engineering with Python. - **Respond to Student Questions**: The instructor should engage more with the students by responding to their questions, thereby improving the course's interactive learning component. **Conclusion:** Overall, this course is rated positively for its comprehensive coverage of Python in networking and its practical examples. However, it requires updates to ensure it remains relevant and useful for today's standards. The instructor's clear teaching style is a strong point, but the lack of engagement with student queries could be improved. With these considerations, students should approach the course with an understanding that while the core content is valuable, some supplemental research or updating of resources may be necessary.

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Related Topics

336580
udemy ID
11/5/2014
course created date
8/9/2019
course indexed date
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