The Absolute Beginners Guide to Cyber Security – Part 1
The Absolute Beginners Guide to Cyber Security – Part 1, available at $19.99, with 182 lectures, and has 2 subscribers.
You will learn about You will learn how to leverage the power of Python to solve tasks. You will be able to use Python for your own work problems or personal projects. Learn to use Python professionally, learning both Python 2 and Python 3! Learn advanced Python features, like the collections module and how to work with timestamps! Understand complex topics, like decorators. Get an understanding of how to create GUIs in the Jupyter Notebook system! You will build games and programs that use Python libraries. You will create a portfolio of Python based projects you can share. Create games with Python, like Tic Tac Toe and Blackjack! Learn to use Object Oriented Programming with classes! Understand how to use both the Jupyter Notebook and create .py files Build a complete understanding of Python from the ground up! This course is ideal for individuals who are Beginners who have never programmed before. or Programmers switching languages to Python. or Intermediate Python programmers who want to level up their skills! It is particularly useful for Beginners who have never programmed before. or Programmers switching languages to Python. or Intermediate Python programmers who want to level up their skills!.
Enroll now: The Absolute Beginners Guide to Cyber Security – Part 1
Summary
Title: The Absolute Beginners Guide to Cyber Security – Part 1
Price: $19.99
Number of Lectures: 182
Number of Published Lectures: 182
Number of Curriculum Items: 182
Number of Published Curriculum Objects: 182
Original Price: £19.99
Quality Status: approved
Status: Live
What You Will Learn
- You will learn how to leverage the power of Python to solve tasks.
- You will be able to use Python for your own work problems or personal projects.
- Learn to use Python professionally, learning both Python 2 and Python 3!
- Learn advanced Python features, like the collections module and how to work with timestamps!
- Understand complex topics, like decorators.
- Get an understanding of how to create GUIs in the Jupyter Notebook system!
- You will build games and programs that use Python libraries.
- You will create a portfolio of Python based projects you can share.
- Create games with Python, like Tic Tac Toe and Blackjack!
- Learn to use Object Oriented Programming with classes!
- Understand how to use both the Jupyter Notebook and create .py files
- Build a complete understanding of Python from the ground up!
Who Should Attend
- Beginners who have never programmed before.
- Programmers switching languages to Python.
- Intermediate Python programmers who want to level up their skills!
Target Audiences
- Beginners who have never programmed before.
- Programmers switching languages to Python.
- Intermediate Python programmers who want to level up their skills!
Become a Python Programmer and learn one of employer’s most requested skills of 2023!
This is the most comprehensive, yet straight-forward, course for the Python programming language on Udemy! Whether you have never programmed before, already know basic syntax, or want to learn about the advanced features of Python, this course is for you! In this course we will teach you Python 3.
With over 100 lectures and more than 21 hours of video this comprehensive course leaves no stone unturned! This course includes quizzes, tests, coding exercises and homework assignments as well as 3 major projects to create a Python project portfolio!
Learn how to use Python for real-world tasks, such as working with PDF Files, sending emails, reading Excel files, Scraping websites for informations, working with image files, and much more!
This course will teach you Python in a practical manner, with every lecture comes a full coding screencast and a corresponding code notebook! Learn in whatever manner is best for you!
We will start by helping you get Python installed on your computer, regardless of your operating system, whether its Linux, MacOS, or Windows, we’ve got you covered.
We cover a wide variety of topics, including:
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Command Line Basics
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Installing Python
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Running Python Code
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Strings
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Lists
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Dictionaries
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Tuples
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Sets
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Number Data Types
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Print Formatting
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Functions
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Scope
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args/kwargs
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Built-in Functions
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Debugging and Error Handling
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Modules
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External Modules
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Object Oriented Programming
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Inheritance
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Polymorphism
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File I/O
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Advanced Methods
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Unit Tests
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and much more!
You will get lifetime access to over 100 lectures plus corresponding Notebooks for the lectures!
This course comes with a 30 day money back guarantee! If you are not satisfied in any way, you’ll get your money back. Plus you will keep access to the Notebooks as a thank you for trying out the course!
So what are you waiting for? Learn Python in a way that will advance your career and increase your knowledge, all in a fun and practical way!
Course Curriculum
Chapter 1: Course Overview
Lecture 1: Auto-Welcome Message
Lecture 2: Course Introduction
Lecture 3: Course Curriculum Overview
Lecture 4: Why Python?
Lecture 5: Course FAQs
Chapter 2: Python Setup
Lecture 1: Command Line Basics
Lecture 2: Installing Python (Step by Step)
Lecture 3: Running Python Code
Lecture 4: Getting the Notebooks and the Course Material
Lecture 5: Git and Github Overview (Optional)
Chapter 3: Python Object and Data Structure Basics
Lecture 1: Introduction to Python Data Types
Lecture 2: Python Numbers
Lecture 3: Numbers: Simple Arithmetic
Lecture 4: Numbers – FAQ
Lecture 5: Numbers Quiz
Lecture 6: Variable Assignments
Lecture 7: Introduction to Strings
Lecture 8: Quick Print Check
Lecture 9: Indexing and Slicing with Strings
Lecture 10: String Indexing
Lecture 11: String Slicing
Lecture 12: String Properties and Methods
Lecture 13: Strings -FAQ
Lecture 14: Strings Quiz
Lecture 15: Print Formatting with Strings
Lecture 16: Print Formatting FAQs
Lecture 17: Print Formatting
Lecture 18: Lists in Python
Lecture 19: Lists
Lecture 20: Lists – FAQ
Lecture 21: Lists Quiz
Lecture 22: Dictionaries in Python
Lecture 23: Dictionaries
Lecture 24: Dictionaries – FAQ
Lecture 25: Dictionaries Quiz
Lecture 26: Tuples with Python
Lecture 27: Tuples Quiz
Lecture 28: Sets in Python
Lecture 29: Sets
Lecture 30: Booleans in Python
Lecture 31: Sets and Booleans Quiz
Lecture 32: I/O with Basic Files in Python
Lecture 33: File I/O
Lecture 34: Resources for More Basic Practice
Lecture 35: Python Objects and Data Structures Assessment Test Overview
Lecture 36: Python Objects and Data Structures Assessment Test Solutions
Chapter 4: Python Comparison Operators
Lecture 1: Comparison Operators in Python
Lecture 2: Chaining Comparison Operators in Python with Logical Operators
Lecture 3: Comparison Operators Quiz
Chapter 5: Python Statements
Lecture 1: If Elif and Else Statements in Python
Lecture 2: For Loops in Python
Lecture 3: While Loops in Python
Lecture 4: Useful Operators in Python
Lecture 5: List Comprehensions in Python
Lecture 6: Python Statements Test Overview
Lecture 7: Python Statements Test Solutions
Chapter 6: Methods and Functions
Lecture 1: Methods and the Python Documentation
Lecture 2: Introduction to Functions
Lecture 3: def Keyword
Lecture 4: Basics of Python Functions
Lecture 5: Logic with Python Functions
Lecture 6: Tuple Unpacking with Python Functions
Lecture 7: Interactions between Python Functions
Lecture 8: Overview of Quick Function Exercises #1-10
Lecture 9: Quick Check on Solutions Link
Lecture 10: Functions #1: print Hello World
Lecture 11: Functions #2: print Hello Name
Lecture 12: Functions #3 – simple Boolean
Lecture 13: Functions #4 – using Booleans
Lecture 14: Functions #5: simple math
Lecture 15: Functions #6: is even
Lecture 16: Functions #7: is greater
Lecture 17: *args and **kwargs in Python
Lecture 18: Functions #8: *args
Lecture 19: Functions #9: pick evens
Lecture 20: Functions #10: skyline
Lecture 21: Function Practice Exercises – Overview
Lecture 22: Function Practice Exercises – Solutions
Lecture 23: Function Practice – Solutions Level One
Lecture 24: Function Practice – Solutions Level Two
Lecture 25: Function Exercise Solutions – Challenge Problem
Lecture 26: Lambda Expressions, Map, and Filter Functions
Lecture 27: Nested Statements and Scope
Lecture 28: Methods and Functions Homework Overview
Lecture 29: Methods and Functions Homework – Solutions
Chapter 7: Milestone Project – 1
Lecture 1: Introduction to Warm Up Project Exercises
Lecture 2: Displaying Information
Lecture 3: Accepting User Input
Lecture 4: Validating User Input
Lecture 5: Simple User Interaction
Lecture 6: First Python Milestone Project Overview
Lecture 7: Milestone Project Help
Lecture 8: Solution Overview for MileStone Project 1 – Part One
Instructors
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Rodrigo Oliveira
Security Manager
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Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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