Python Complete Course: with 30+ Hands-on Tasks and Solution
Python Complete Course: with 30+ Hands-on Tasks and Solution, available at $64.99, has an average rating of 4.58, with 181 lectures, 23 quizzes, based on 232 reviews, and has 26557 subscribers.
You will learn about The basics of Python programming, including data types, variables, strings, and user input. How to make decisions using conditional statements such as "if", "elif", and "else" Hands-on coding exercises to solidify understanding and practice new skills How to work with different data types such as numbers, strings, lists, and tuples How to use variables and manipulate strings How to use user input and conditional statements to control the flow of a program How to become a professional Python developer with the guidance and support of the instructor. Much more… This course is ideal for individuals who are Beginning Python Programmers or System Administrators or Automation Technitians or Beginning DevOps It is particularly useful for Beginning Python Programmers or System Administrators or Automation Technitians or Beginning DevOps.
Enroll now: Python Complete Course: with 30+ Hands-on Tasks and Solution
Summary
Title: Python Complete Course: with 30+ Hands-on Tasks and Solution
Price: $64.99
Average Rating: 4.58
Number of Lectures: 181
Number of Quizzes: 23
Number of Published Lectures: 172
Number of Published Quizzes: 23
Number of Curriculum Items: 206
Number of Published Curriculum Objects: 197
Original Price: $89.99
Quality Status: approved
Status: Live
What You Will Learn
- The basics of Python programming, including data types, variables, strings, and user input.
- How to make decisions using conditional statements such as "if", "elif", and "else"
- Hands-on coding exercises to solidify understanding and practice new skills
- How to work with different data types such as numbers, strings, lists, and tuples
- How to use variables and manipulate strings
- How to use user input and conditional statements to control the flow of a program
- How to become a professional Python developer with the guidance and support of the instructor.
- Much more…
Who Should Attend
- Beginning Python Programmers
- System Administrators
- Automation Technitians
- Beginning DevOps
Target Audiences
- Beginning Python Programmers
- System Administrators
- Automation Technitians
- Beginning DevOps
Master Python: Beginner to Pro with Hands-on Coding Tasks – Unleash Your Coding Potential
Are you ready to dive into the world of Python programming and become a skilled coder? Look no further! Our comprehensive course, Master Python: Beginner to Pro with Hands-on Coding Tasks, is designed to guide you through the fascinating journey of Python programming, from the fundamentals to more advanced concepts.
With 7hr+ of high-quality video content and engaging coding exercises, this course will equip you with the knowledge and skills necessary to excel in Python programming. Our expert instructors have meticulously crafted the curriculum to cater to learners at all levels, ensuring that you gain a deep understanding of Python’s versatile capabilities.
Course Highlights:
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90+ lectures with step-by-step guidance on Python programming concepts
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Hands-on coding exercises to reinforce learning and build practical skills
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Quizzes and assignments to test your knowledge and understanding
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In-depth coverage of essential Python topics, such as data types, variables, strings, loops, and more
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Real-world examples and hands-on tasks to prepare you for real-life coding challenges
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Comprehensive introduction to Python scripting, Django, and Flask
As you progress through the course, you will:
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Develop a strong foundation in Python programming
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Master the art of writing clean, efficient, and maintainable code
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Learn to troubleshoot and resolve common errors
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Understand how to use Python for web development with Django and Flask
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Gain practical experience by working on real-world projects
Enroll now in the Master Python: Beginner to Pro with Hands-on Coding Tasks course, and embark on a rewarding journey to becoming a proficient Python programmer. Don’t miss out on this opportunity to unlock your coding potential and build a successful career in the programming world!
Course Curriculum
Chapter 1: Lesson 1: Get Started Quickly
Lecture 1: Setting Up Your Python Environment
Lecture 2: Demo: Setting Up Your Python Environment – Part 1
Lecture 3: Demo: Setting Up Your Python Environment – Part 2
Lecture 4: Creating Your First Project
Lecture 5: Demo: Creating Your First Project
Lecture 6: Introduction to version control with Git and GitHub
Lecture 7: Demo: Using Git with Python Projects
Lecture 8: Cloning and Running a Git Repository in IDEs
Lecture 9: Working with GitHub: Importing Repositories and Using GitHub Codespaces
Lecture 10: Lesson 1 Exercise: Setting Up Your Python Development Environment
Lecture 11: Printing with Python: Your First Step into Coding
Lecture 12: Print Techniques in Python
Lecture 13: Python Print Exercise and Solution
Lecture 14: Python Fundamentals: Common Print Statement Errors
Lecture 15: Debugging Practice Exercise : Identifying and Fixing Python Syntax Errors
Lecture 16: Mastering Multi-line Printing in Python: Basic Techniques
Lecture 17: Multi-line Printing Exercise and Solution: Practical Exercises in Python
Lecture 18: Using Comments in Python
Lecture 19: Demo: Using Comments in Python
Lecture 20: Essential Reading: Adding Comments in Python
Chapter 2: Lesson 2: Basic Data Types
Lecture 1: Python Data Types
Lecture 2: Demo: Python Data Types
Lecture 3: Essential Reading: Data Types in Python
Lecture 4: Hands-on Data Types Identification: Exercise and Solution
Lecture 5: Hands-on Variable Assignment Manipulation: Exercise and Solution
Lecture 6: Adding Variables
Lecture 7: Adding Variables. Part 2
Lecture 8: Python Variable Naming Rules and Best Pactices
Lecture 9: Essential Reading: Understanding Variables in Python
Lecture 10: String Manipulation in Python
Lecture 11: Demo: String Manipulation in Python
Lecture 12: String Manipulation – Example
Lecture 13: Essential Reading: Strings in Python
Lecture 14: Hands-on Simple Calculations String Manipulation: Exercise and Solution
Lecture 15: Hands-on Type Conversion Operations: Exercise and Solution
Lecture 16: Working with User Input. Type Converting
Lecture 17: Type Converting cont.
Lecture 18: Essential Reading: User Input and Type Conversion
Lecture 19: Python Coding Best Practices
Lecture 20: Python Coding Best Practices: PEP 8
Lecture 21: Hands-On Challenge: Building a Celsius to Fahrenheit Converter
Chapter 3: Lesson 3: Operations with Basic Data Types
Lecture 1: Python Integer Arithmetic
Lecture 2: Hands-On Challenge: Shopping Calculator Program
Lecture 3: Hands-On Challenge: Build Your Personal Savings Calculator Program
Lecture 4: Hands-On Challenge: Dining Out with Python. Build Your Smart Bill Splitter
Lecture 5: From Integers to Floats and Back Again
Lecture 6: Hands-On Challenge: From Floor Division to Negative Numbers
Lecture 7: Hands-On Challenge: Time Management with Python – Days-to-Weeks Conversion App
Lecture 8: Hands-On Challenge: Build a Road Trip Budget Calculator
Chapter 4: Lesson 4: Special Operations with Basic Data Types
Lecture 1: Modulo Operator: Powerful Remainder Calculations in Python
Lecture 2: Mastering Exponentiation and Modulo Operators in Python
Lecture 3: Hands-On Challenge: Calculating Cube Volumes and Surface Areas
Lecture 4: Hands-On Modular Arithmetic: Movie Theater Seating and Secret Message Decoding
Lecture 5: Operations Processing order in Python: PEMDAS
Lecture 6: Hands-On Python Workshop: Startup Financial Modeling
Lecture 7: Hands-On Python Workshop Solution: Startup Financial Modeling
Chapter 5: Lesson 5: Even More on PEP 8
Lecture 1: Mastering PEP 8: Writing Clean and Readable Python Code
Lecture 2: Hands-On PEP 8: Exercises for Python Code Style
Lecture 3: Hands-On PEP 8: Exercises for Python Code Style. Part 2
Chapter 6: Lesson 6: Taking User's Input
Lecture 1: Submitting an Input in Python
Lecture 2: Hands-On Exercises with User's Input: Tasks and Solutions. Part 1
Lecture 3: Hands-On Exercises with User's Input: Tasks and Solutions. Part 2
Lecture 4: Hands-On Exercises with User's Input: Tasks and Solutions. Part 3
Lecture 5: Hands-On Exercises with User's Input: Tasks and Solutions. Part 4
Chapter 7: Lesson 7: Working with Lists, Dictionaries, Tuples, and Numeric Data Types
Lecture 1: Working with Lists
Lecture 2: Demo: Working with Lists
Lecture 3: Demo: Working with Lists cont.
Lecture 4: Working with Lists – Example
Lecture 5: Working with Lists – Example. Part 2
Lecture 6: Working with Dictionaries
Lecture 7: Demo: Working with Tuples
Lecture 8: Demo: Working with Files
Lecture 9: Using Numeric Data Types
Lecture 10: Demo: Using Numeric Data Types. Part 1
Lecture 11: Demo: Using Numeric Data Types. Part 2
Lecture 12: Demo: Using Numeric Data Types. Example
Chapter 8: Lesson 5: Lists and Loops
Lecture 1: Intro to Lists
Instructors
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Vitalii Shumylo
IT Transformation: Empowering Tech Experts
Rating Distribution
- 1 stars: 5 votes
- 2 stars: 8 votes
- 3 stars: 24 votes
- 4 stars: 64 votes
- 5 stars: 132 votes
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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