The Python for Absolute Beginners Bootcamp
The Python for Absolute Beginners Bootcamp, available at $64.99, has an average rating of 4.45, with 150 lectures, 27 quizzes, based on 46 reviews, and has 378 subscribers.
You will learn about Manipulate the most important Python Data Structures Build your own Python Functions Understand Object Oriented Programming Create a Python script completely from Scratch This course is ideal for individuals who are Beginner Python Developers or People that want to learn their first Programming Language or Software Engineering Students or Data Science Students It is particularly useful for Beginner Python Developers or People that want to learn their first Programming Language or Software Engineering Students or Data Science Students.
Enroll now: The Python for Absolute Beginners Bootcamp
Summary
Title: The Python for Absolute Beginners Bootcamp
Price: $64.99
Average Rating: 4.45
Number of Lectures: 150
Number of Quizzes: 27
Number of Published Lectures: 150
Number of Published Quizzes: 27
Number of Curriculum Items: 177
Number of Published Curriculum Objects: 177
Original Price: $79.99
Quality Status: approved
Status: Live
What You Will Learn
- Manipulate the most important Python Data Structures
- Build your own Python Functions
- Understand Object Oriented Programming
- Create a Python script completely from Scratch
Who Should Attend
- Beginner Python Developers
- People that want to learn their first Programming Language
- Software Engineering Students
- Data Science Students
Target Audiences
- Beginner Python Developers
- People that want to learn their first Programming Language
- Software Engineering Students
- Data Science Students
Welcome to Your Python Programming Journey!
Are you ready to unlock the power of Python? Are you’re a beginner eager to start or a seasoned professional seeking a transition into the programming language? Look no further – this course is designed just for you!
Hear what other students have to say first:
“For beginners the best course you could ask for, the instructor Ivo has a big passion for programming, you can feel it when he speaks, by doing the exercises you can really understand how it works from the very beginning.”5 Star Udemy User Review
“I loved this course!! Ivo has developed such an excellent way of explaining each concept in depth, without making you feel overwhelmed over what you’re learning. He’s also very responsive if you have questions and incredibly helpful. Definitely worth every second.”5 Star Udemy User Review
“Amazing course for beginner level!
Very thorough, Ivo explains everything in detail with perfect pace, as we go through the foundations of the Python language.
I absolutely recommend this course if you are starting with Python!”5 Star Udemy User Review
What You’ll Master during this course:
Dive deep into Python programming with a focus on fundamental concepts. Our engaging content includes:
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Code Along Lectures: Witness the implementation of key concepts in real-time.
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Interactive Exercises: Practice makes perfect. Test your knowledge with questions and practical exercises of varying difficulty levels.
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Practical Project: Build your very first Python software to apply what you’ve learned.
This course is crafted as a gentle introduction to Python coding for people with absolutely zero experience in programming languages. By the end, you’ll confidently use Python in the context of software engineering. Along the way, grasp the essentials of Python objects, including integers, strings, lists, and dictionaries, and learn how to leverage these concepts to elevate your code.
What you’ll know after the course:
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Load files effortlessly into Python and work with data inside it.
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Build Python Programs.
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Create Python objects using object-oriented programming.
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Master loops, conditionals and other programming logic.
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Manipulate essential Python data structures.
So.. why should you join me?
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Practical Application: Explore real-world applications of Python, empowering you in your professional endeavors or personal projects.
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Proven Results: Join hundreds of professionals and students who have embarked on this Python journey.
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Constant Improvement: Benefit from a course that evolves based on valuable student feedback.
Enroll Today and Experience the Python Advantage!
Don’t miss out on the opportunity to learn from a course that’s not just informative but constantly updated to meet your evolving needs. Join us on this Python journey, and discover the incredible power of this open-source and free language!
Course Curriculum
Chapter 1: Introduction
Lecture 1: Welcome to the Course!
Lecture 2: Course Materials and Where to Find Me!
Chapter 2: Setting up the Course Environment
Lecture 1: Downloading and Installing the Anaconda Distribution
Lecture 2: Creating an Environment from Scratch and Installing Jupyter Notebooks
Lecture 3: Navigating the Jupyter Notebook Folder Structure
Lecture 4: Loading the Python for Absolute Beginners Environment using a Yaml File
Lecture 5: [Alternative] – Setting up and Using Google Colab
Chapter 3: Python as a Calculator and Data Types
Lecture 1: Let's start!
Lecture 2: A Jupyter Notebook Introduction
Lecture 3: Basic Math with Python
Lecture 4: Using Mathematical Functions
Lecture 5: Data Types Introduction – Integers
Lecture 6: Data Types Introduction – Using External Libraries
Lecture 7: Data Types Introduction – Floats
Lecture 8: Data Types Introduction – Strings
Lecture 9: Data Types Introduction – Bool
Lecture 10: Exercises – Udemy Environment Walkthrough
Lecture 11: Code Along – Python as a Calculator and Data Types Exercises
Chapter 4: Conversions, Variables and Comparisons
Lecture 1: Conversions – Converting to Int and/or Float
Lecture 2: Conversions – Converting to Str and Bool
Lecture 3: Variables – Introduction to Variables
Lecture 4: Variables – Calculations with Variables and Other Details
Lecture 5: Comparison Operators
Lecture 6: Logical Operators – AND / OR / NOT
Lecture 7: Logical Operators – Order of Operations
Lecture 8: Identity Operators
Lecture 9: Udemy Environment Exercises Walkthrough Solution
Lecture 10: Exercises on Your Environment – Walkthrough
Lecture 11: Code Along Solutions – Exercises on Your Environment
Chapter 5: Python Strings – A Deep Dive
Lecture 1: Fine Point – How Strings are Stored
Lecture 2: Indexing Strings
Lecture 3: Indexing Strings – Slicing
Lecture 4: Immutability Property
Lecture 5: Combining Strings
Lecture 6: String Iteration and First Glimpse on Indentation
Lecture 7: Testing Substrings with Identity Operators
Lecture 8: Escaping Characters
Lecture 9: Raw Strings and Multi-Line Statements
Lecture 10: Strings Functions and Methods – Part 1
Lecture 11: Strings Functions and Methods – Part 2
Lecture 12: Formatting Strings – Using %s
Lecture 13: Formatting Strings – .format method and f-strings
Lecture 14: Formatting Strings – Number Formatting
Lecture 15: Udemy Environment Exercises Walkthrough Solution
Lecture 16: Code Along Solutions – Exercises on Your Environment
Chapter 6: Python Integers and Floats
Lecture 1: Built-In Functions | Keyword Arguments
Lecture 2: Intro to Libraries/Packages | Ceil Function
Lecture 3: Exploring some Functions of the Math Library
Lecture 4: Udemy Environment Exercises Walkthrough Solution
Lecture 5: Code Along Solutions – Exercises on Your Environment
Chapter 7: Python Lists
Lecture 1: Creating Python Lists
Lecture 2: Indexing Lists
Lecture 3: Lists Mutability and Changing Elements
Lecture 4: Adding Elements to Lists
Lecture 5: Concatenating Lists
Lecture 6: Deleting Elements from Lists
Lecture 7: Lists Functions and Methods
Lecture 8: Lists' Copy Method
Lecture 9: Udemy Environment Exercises Walkthrough Solution
Lecture 10: Code Along Solutions – Exercises on Your Environment
Chapter 8: Python Dictionaries
Lecture 1: Creating Python Dictionaries
Lecture 2: Indexing Dictionaries
Lecture 3: Adding Elements to Dictionaries
Lecture 4: Changing and Updating Elements from Dictionaries
Lecture 5: Deleting elements from Dictionaries
Lecture 6: Udemy Environment Exercises Walkthrough Solution
Lecture 7: Code Along Solutions – Exercises on Your Environment
Chapter 9: Sets and Tuples
Lecture 1: Sets Introduction
Lecture 2: Adding Elements, Removing Elements or Combining Sets
Lecture 3: Tuples Introduction
Lecture 4: Combining Tuples and Tuple Functions
Lecture 5: Udemy Environment Exercises Walkthrough Solution
Lecture 6: Code Along Solutions – Exercises on Your Environment
Chapter 10: Course Break
Lecture 1: Python Check-In – Learning Status
Chapter 11: Python Conditionals and Loops
Lecture 1: If Else Statements
Instructors
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Ivo Bernardo
Partner and Senior Data Scientist @ Daredata Engineering
Rating Distribution
- 1 stars: 1 votes
- 2 stars: 0 votes
- 3 stars: 0 votes
- 4 stars: 12 votes
- 5 stars: 33 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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