Build 3 Network Applications with Python and Machine Learning
Learn Python from SCRATCH! Build 3 Network Applications using Python, Nmap, Pandas, Matplotlib and Machine Learning. Full Python Apps Included!
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- Python and Machine Learning course designed for Network Engineers
- 10+ hours of video content and over 20 downloadable resources
- Learn Python from scratch: Data Types, Functions, File Operations
- Learn how to use the Pandas library for data and file manipulation
- Use Nmap and the Nmap Scripting Engine for scanning the network
- Build and download a Network Vulnerability detection app with Python
- Build and download a Machine Learning app to analyze vulnerabilities
- Build and download a Machine Learning app to analyze traffic captures
- Over 100,000+ satisfied students across several e-learning platforms
What others have to say about my Python courses?
Before you read what I have to say, see what my students are saying about my courses:
- "What an incredible value and learning experience!" by Sean A.
- "Excellent material. Kudos to a great instructor with a vast level of creativity." by Anthony W.
- "This man is going on smoothly and perfectly, explaining in the most empirical way." by Kolapo A.
What's this course all about?
Python programming and Machine Learning course aimed at Network Professionals: Network Engineers, Network Admins and Security Engineers having little or no experience in Python coding, network automation and ML, but a great desire to start learning Python from scratch and implement new technologies in their network environments.
This 100% hands-on training takes you from "Hello World!" to building 3 network applications with Python, Pandas, Matplotlib, Nmap and Machine Learning in no time.
You will learn Python, Pandas and Machine Learning concepts that are relevant to the networking industry, and then you're going to build 3 network applications from scratch.
"So far it's the best Python-for-network-engineer course I have ever attended, fundamental topics are well demonstrated and explained, I strongly recommend this course to any network engineers who want to master Python in a relatively short period of time." by Parry W.
Here are some highlights from this course:
- Python - Variables. Data Types. Keywords
- Python - Strings. String Operations
- Python - Numbers. Numeric Operations
- Python - Booleans. Boolean Operations
- Python - Lists. List Operations
- Python - Sets. Set Operations
- Python - Tuples. Tuple Operations
- Python - Ranges. Range Operations
- Python - Dictionaries. Dictionary Operations
- Python - If-Elif-Else Conditionals
- Python - For-Else Loops
- Python - While-Else Loops
- Python - List-Set-Dictionary Comprehensions
- Python - Break. Continue. Pass
- Python - Try. Except. Else. Finally
- Python - Functions. Parameters. Arguments
- Python - Namespaces. Modules
- Python - File Operations
- Python - Regular Expressions
- Python - Special Functions
- DOWNLOAD - Regular Expressions Notebook
- DOWNLOAD - Python Primer Notebook
- Pandas - Introduction. Basic Operations
- Pandas - Intermediate to Advanced
- Pandas - Handling CSV Files with Pandas
- Pandas - Data Visualization with Matplotlib
- DOWNLOAD - Pandas Notebook
- NMAP - Introduction to NMAP Scanning
- NMAP - The World of NMAP NSE Scripts
- DOWNLOAD - NMAP Notebook
- UNSUPERVISED ML - Introduction to Machine Learning
- UNSUPERVISED ML - K-Means Clustering Basics
- APPLICATION 1 - Network Vulnerability Map with Python & Nmap
- APPLICATION 2 - Vulnerability Data Analysis with Machine Learning
- APPLICATION 3 - Network Traffic Analysis with Machine Learning
- SUPERVISED ML - Decision Trees and Random Forest
- SUPERVISED ML - Bonus APPLICATION and Examples
"The instructor seems to touch all the basis in a logical and methodical way while providing examples and explanations. I can only conclude the instructor is a professional educator who spent considerable time structuring and organizing the course. The result is evident. THIS IS A GREAT WAY TO LEARN PYTHON!" by Larry L.
Important information before you enroll!
- Once enrolled, you have unlimited, 24/7, lifetime access to the course.
- You will have instant and free access to any future course updates.
- You will benefit from my full support regarding any question.
- You are covered by a 30-days money back guarantee.
I strongly encourage you to boost your Network Engineering skills using the amazing power of Python and Machine Learning, and take your job and career one step further!
Enroll now and I'll see you in the first lecture!
GNS3 Academy Curriculum
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PreviewIntroduction to Jupyter Notebook (6:39)
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StartQuick Note on the Concepts in this Section (1:04)
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StartVariables. Data Types. Keywords (4:33)
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StartStrings. String Operations (11:16)
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StartStrings. Additional Tip 1 (1:57)
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StartStrings. Additional Tip 2 (1:52)
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StartStrings. Additional Tip 3 (2:33)
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StartStrings. Additional Tip 4 (3:34)
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StartNumbers. Numeric Operations (4:52)
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StartNumbers. Additional Tip (1:46)
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StartBooleans. Boolean Operations (5:43)
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StartLists. List Operations (8:57)
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StartSets. Set Operations (6:45)
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StartTuples. Tuple Operations (5:56)
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StartRanges. Range Operations (5:29)
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StartDictionaries. Dictionary Operations (7:24)
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StartDictionaries. Additional Tip 1 (1:47)
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StartDictionaries. Additional Tip 2 (3:27)
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StartIf-Elif-Else Conditionals (9:20)
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StartFor-Else Loops (9:38)
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StartWhile-Else Loops (9:07)
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StartList-Set-Dictionary Comprehensions (6:47)
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StartBreak. Continue. Pass (4:04)
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StartTry. Except. Else. Finally (10:32)
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StartExceptions. Additional Tip 1 (4:06)
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StartExceptions. Additional Tip 2 (3:46)
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StartFunctions. Parameters. Arguments (8:41)
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StartFunctions. Additional Tip 1 (1:39)
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StartFunctions. Additional Tip 2 (3:27)
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StartNamespaces. Modules (9:33)
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StartFile Operations (8:49)
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StartRegular Expressions (10:28)
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StartRegular Expressions. Additional Tip (2:54)
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StartAdditional Useful Python Concepts (10:42)
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StartSpecial Functions: Map. Filter. Reduce. Lambda (12:21)
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StartSpecial Functions: Zipping and Unzipping Lists (7:39)
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StartDOWNLOAD: Regular Expressions Notebook
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StartDOWNLOAD: Python Primer Notebook
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StartPRACTICE: Multiple-Choice Quizzes
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StartPRACTICE: Coding Exercises
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StartIntroduction to Pandas. Basic Operations (11:17)
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StartIntermediate to Advanced Pandas Operations (12:06)
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StartHandling CSV Files with Pandas (9:48)
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StartSAMPLE: CSV File for Visualization
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StartPandas and Data Visualization (17:18)
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Start[EXTRA] Pandas Series
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StartDOWNLOAD: Pandas Notebook