Learn Python from SCRATCH! Build 3 Network Apps with Python, Pandas, Nmap and Machine Learning. Full Python Apps inside.
What you'll learn:
You are going to learn Python from scratch, in an organized, easy-to-understand, hands-on fashion.
You are going to learn to read, write and manipulate dataframes and files using the Pandas library.
You will learn how to scan network devices and services using Nmap and the Nmap Scripting Engine (NSE).
You are going to build, test and download a Network Vulnerability detection application with Python.
You are going to build, test and download a Machine Learning app to analyze network vulnerabilities.
You are going to build, test and download a Machine Learning app to analyze network traffic captures.

Requirements:
No prior Python knowledge is required! This course teaches you everything, from scratch.
You should already be familiar with networking concepts such as TCP, UDP, SSH, LAN, etc.
You are going to use only free software throughout the course: Python, VirtualBox, Linux.
All you need is a decent PC or laptop with at least 16GB RAM and an Internet connection.

Description:
Python and Machine Learning course designed for Network Engineers10+ hours of video content​ and over 20 downloadable resourcesLearn Python from scratch and download additional PDF resourcesLearn how to use the Pandas library for data and file manipulationUse Nmap and the Nmap Scripting Engine for scanning the networkBuild and download a Network Vulnerability detection app with PythonBuild and download a Machine Learning app to analyze vulnerabilitiesBuild and download a Machine Learning app to analyze traffic capturesYou have my full support. I am answering questions in less than 24hrsUdemy Bestselling Instructor with thousands of amazing 5* reviewsOver 100,000+ satisfied students across several e-learning platformsCERTIFICATE of COMPLETION is also included at the end of the courseWhat 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 which are relevant to the networking industry, and then you're going to build 3 network applications.Here are some highlights from this course:Python - Variables. Data Types. Keywords Python - Strings. String OperationsPython - Numbers. Numeric OperationsPython - Booleans. Boolean OperationsPython - Lists. List OperationsPython - Sets. Set OperationsPython - Tuples. Tuple OperationsPython - Ranges. Range OperationsPython - Dictionaries. Dictionary OperationsPython - If-Elif-Else ConditionalsPython - For-Else LoopsPython - While-Else LoopsPython - List-Set-Dictionary ComprehensionsPython - Break. Continue. PassPython - Try. Except. Else. FinallyPython - Functions. Parameters. ArgumentsPython - Namespaces. ModulesPython - File OperationsPython - Regular ExpressionsPython - Special FunctionsDOWNLOAD - Regular Expressions NotebookDOWNLOAD - Python Primer NotebookPandas - Introduction. Basic OperationsPandas - Intermediate to AdvancedPandas - Handling CSV Files with PandasPandas - Data Visualization with MatplotlibDOWNLOAD - Pandas NotebookNMAP - Introduction to NMAP ScanningNMAP - The World of NMAP NSE ScriptsDOWNLOAD - NMAP NotebookUNSUPERVISED ML - Introduction to Machine LearningUNSUPERVISED ML - K-Means Clustering BasicsAPPLICATION 1 - Network Vulnerability Map with Python & NmapAPPLICATION 2 - Vulnerability Data Analysis with Machine LearningAPPLICATION 3 - Network Traffic Analysis with Machine LearningSUPERVISED ML - Decision Trees and Random ForestSUPERVISED ML - Extra 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!You are covered by a 30-days money back guarantee, full refund, no questions asked.Once enrolled, you have unlimited, 24/7, lifetime access to the course from any device.You will benefit from my full support regarding any question related to the course content.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!

Who this course is for:
Network Administrators, Network Engineers, Network Managers, Systems Engineers.
Network Quality Assurance Engineers, Network Analysts, Network Security Engineers.
Python Developers Who Want to Apply Their Knowledge in Network Automation.
Any other kind of IT or Networking geeks are welcome, as well.

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