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Opening Credits
1/21/2023
Opening credits - Hacking : A Comprehensive, Step-By-Step Guide to Techniques and Strategies to Learn Ethical Hacking With Practical Examples to Computer Hacking, Wireless Network, Cybersecurity and Penetration Test
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Introduction
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Table of Contents
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Chapter 1: Setting up Your Wireless Lab
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Chapter 2: The Inherent Insecurities of WLAN
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Chapter 3 : Bypassing WLAN Authentication
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Chapter 4 : WLAN Encryption Flaws
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Chapter 5 : Attacking the WLAN Infrastructure
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Chapter 6 : Attacking the Wireless Client
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Chapter 7 : Advance WLAN Attacks
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Chapter 8 : KRACKs
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Chapter 9 : WPA Enterprise and RADIUS Attacks
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Chapter 10 : WPS and Probes
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Bonus Chapter : Staying Safe Online
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Conclusion
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References
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Closing Credits
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Opening Credits : Hacking : The Ultimate Comprehensive Step-By-Step Guide to the Basics of Ethical Hacking
1/21/2023
Chapter 1 : Methods of Hacking a Website : Choosing Easy Targets
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Chapter 2 : Some Common Hacking Tools
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Chapter 3 : A Case Study of Hacking and How to Escape from It
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Chapter 4 : Spam : The Simplest Way to Spread Your Message Within Seconds
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Chapter 5 : Security Breach : How Hackers Target their Victims
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Chapter 6 : Introduction to Cross-Site Scripting
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Chapter 7 : Web Application Security - Cross-Site Scripting (XSS)
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Chapter 8 : Security Testing and Various Testing Tools
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Chapter 9 : Bluetooth Hacking : Keep Your Smart Phones Safe
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Chapter 10 : Captcha : A Technique to Avoid Hacking
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Chapter 11: Cyber Theft and Its Consequences
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Chapter 12 : Is your Internet Secure from Virus and Worms?
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Chapter 13 : Ethical Hacking - Best Practices to Develop Hack - Resilient Applications
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Opening Credits : Cybersecurity for Beginners
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Chapter 1 : What Is Cybersecurity?
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Chapter 2 : What is Ethical Hacking?
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Chapter 3 : How Penetration Testing Works
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Chapter 4 : What is an SQL Injection Attack?
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Chapter 5 : The Importance of Firewalls
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Chapter 6 : A Guide to Malware and Ransomware
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Chapter 7 : Brute-Force Attacks
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Chapter 8 : Password Cracking
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Closing Credits : Cybersecurity for Beginners
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Opening Credits : Excel : The Ultimate Comprehensive Guide to the Basics of Excel Programming
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Chapter 1 : Introduction to VBA
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Chapter 2 : Recording A Macro
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Chapter 3 : How to Use Data From Excel
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Chapter 4 : How to Manipulate Data In Excel
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Chapter 5 : Working With Loops
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Chapter 6 : Working with Conditional Statements
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Chapter 7 : Working With Strings
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Chapter 8 : Error Handling and Debugging
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Chapter 9 : How to Redirect the Flow
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Chapter 10 : Mistakes to Avoid
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Closing Credits - Excel Basics
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Opening Credits : Excel : The Ultimate Comprehensive Step-by-Step Guide To Strategies in Excel Programming Formulas, Shortcuts and Spreadsheets
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Chapter 1: Automating Processes Using VBA
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Chapter 2: How to Improve the Performance of Macros
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Chapter 3: The Formula Tab
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Chapter 4: Basic Excel Formula
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Chapter 5: Advanced Excel Formula
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Chapter 6: Excel Shortcuts
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Chapter 7: Basic Excel Strategies
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Chapter 8: Some Problems with Spreadsheets and How to Overcome Them
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Chapter 9: Resources for VBA Help
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Closing Credits : Excel : The Ultimate Comprehensive Step-by-Step Guide To Strategies in Excel Programming Formulas, Shortcuts and Spreadsheets
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Opening Credits : Python For Data Science
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Chapter 1-A : Very Pleasure Python Language
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Chapter 1-B : Python Distributions
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Chapter 1-C : Python Versions Python 2 Versus Python 3
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Chapter 1-D : Win Python Installation
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Chapter 1-E : Using Win Python in Interactive Mode
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Chapter 1-F : Using Win Python in Normal Mode
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Chapter 1-F-A : Variables and Types
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Chapter 1-G : Variable Names
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Chapter 1-H : Expressions
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Chapter 1-I : Keyboard Data Entry
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Chapter 1-J : Conditional Deviation Instructions
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Chapter 1-K : Code Blocks
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Chapter 1-L : Relational and Logical Operators
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Chapter 1-M : Elif Instruction
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Chapter 1-N : Nested Conditionals Instructions
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Chapter 1-N : Repeat Instructions (1) While
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Chapter 1-P : Vectorization
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Chapter 1-Q : Repeat Instructions (2)
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Chapter 1-R : Knowing the Range() Function
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Chapter 1-S : Python or R
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Chapter 2-A : Creating Functions
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Chapter 2-B : Modules 1
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Chapter 2-C : Optional Parameters and the None value
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Chapter 2-D : Procedures
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Chapter 2-E : Parameter Values
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Chapter 2-F : Predefined Functions
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Chapter 2-G : Math Module
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Chapter 2-H : Statistics Module
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Chapter 2-I : ‘Random’ Module, Print, Help
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Chapter 3-A : Native Data Structures
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Chapter 3-B : Lists
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Chapter 3-C : Operations on Lists
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Chapter 3-D : Methods
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Chapter 3-E : Methods Available for Lists
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Chapter 3-F : Predefined Functions and Lists
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Chapter 3-G : List Comparison
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Chapter 3-H : Cloning a List
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Chapter 3-I : List as Function Arguments
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Chapter 3-J : Reference Parameter vs Value Parameters
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Chapter 3-K : Tuples
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Chapter 3-L : Tuples vs Lists
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Chapter 3-M : Sets
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Chapter 3-N : Dictionaries
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Chapter 3-O : Basic Operations
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Chapter 3-P : Methods and Techniques of Iteration
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Chapter 4-A : Strings and Databases in Text Format
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Chapter 4-B : Methods
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Chapter 4-C : String Comparison
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Chapter 4-D : String Module
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Chapter 4-E : Text Files File Handle
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Chapter 4-F : Processing Column Separated Files
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Chapter 4-G : Importing an Entire File Into a String
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Chapter 4-H : Processing CSV Files
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Chapter 4-I : Text Files Recording Files
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Chapter 4-J : Knowing the Unicode Standard
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Chapter 4-K : Text Files : UTF-8 Versus Ansi
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Chapter 4-L : Text Files : Processing JSON Files
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Chapter 4-M : Regular Expressions
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Chapter 4-N : Search() Function
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Chapter 4-O : Metacharacters
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Chapter 4-P : Findall() Function
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Chapter 5-A : SQL Database and Language
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Chapter 5-B : Database Management Systems (DBMS)
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Chapter 5-C : SQL
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Chapter 5-D : SQL Basic Select
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Chapter 5-E : SQL Joining Tables
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Chapter 5-F : SQL Producing Aggregate Results
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Closing Credits : Python For Data Science
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Also by Kevin Clark
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Ending Credits
1/21/2023