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Josh Wenner

Welcome to "Zero to Knowing - Python for Absolute Beginners 2024 Edition" – the ultimate online Udemy course for those who want to embark on their programming journey. This course is specifically designed for beginners who are eager to learn Python programming and build a solid foundation in this popular language.

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Welcome to "Zero to Knowing - Python for Absolute Beginners 2024 Edition" – the ultimate online Udemy course for those who want to embark on their programming journey. This course is specifically designed for beginners who are eager to learn Python programming and build a solid foundation in this popular language.

Whether you're a complete novice to programming or have some basic understanding, this course will guide you through the fundamental concepts of Python in a clear and comprehensive manner. You'll start from scratch and gradually progress to more advanced topics, gaining confidence and expertise along the way.

With this course, you'll learn not only the syntax of Python but also the core concepts of programming, such as data types, variables, operators, conditionals, loops, functions, and more. You'll understand how to write clean, efficient, and scalable Python code, and how to solve real-world problems using Python.

If you are looking for an all-in-one course, this course is not for you.  If you are looking for a course to master the fundamentals to give you a good foundation to jump-start your programming career, This course is for you.

A full-course breakdown:

- Python Basics & Syntax

-Data Types

-Variables & Assignments

-Gather User Data

-Working with Conditional Statements

-Loops such as the While Loop & For Loop

-Nesting Control Structures

-Defining Functions to create reusable code

-Creating and Working with Objects

-Classes & Inheritance

-Working with Lists

-Creating your own Modules

-Working with Modules, such as Random, Time and PyGame

The course is packed with practical examples, hands-on exercises, and coding projects that will challenge and inspire you to apply what you've learned in real-life scenarios. You'll also have access to valuable resources, including the course content, downloadable code files, and reference materials, to help you solidify your understanding of Python.

You will build four projects, three of which will use everything you have learned throughout this course within a single application, putting your skills to the test to get you ready for your future as a Python Developer.

By the end of this course, you'll have a solid foundation in Python programming and be well-equipped to take your skills to the next level. Whether you want to pursue a career in software development, data analysis, and web development, or simply want to learn a new skill, this course will empower you to achieve your programming goals.

Enroll now in "Zero to Knowing Python in 2023"  and join our community of learners who are unlocking the power of Python programming. Get started on your programming journey and build a strong foundation in Python today.

Enroll now

What's inside

Learning objectives

  • Basic syntax and structure
  • Control structures: working with conditions
  • Control structures: working with loops
  • Nesting our control structures
  • Building and defining your own functions
  • Creating and working with modules in python
  • Object orientated programming with classes and inheritance
  • Bring everything together with game development in pygame

Syllabus

Introduction

An overview at what you can expect in this course

Installing the latest version of Python and VS code on your computer

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Understanding how VS code works as well as a few extensions we will use

Learning your first Python function as well as all the mathematical operators

Using what we have learned to write your first code in VS Code

Using Variables to work with changing data

Creating and using your own variables to solve problems in VS code

Looking at ways we can collect user data through input

Collecting user data in VS code

How and why we nest our functions to create more readable code

Nesting functions in VS code

Learning at how a computer thinks and introducing conditional statements

Programming conditions in VS code

Taking the concept of Nesting and applying this to our conditional statements

Programming nested conditional statements in VS code

Repeating our code with the use of the While Loop -> While something is True, repeat

Coding challenges with the While Loop in VS code

Looking at the For Loop and how we can use this to iterate through data

Using the For Loop in VS code

An overview of your first project.  This project will use everything you have learned so far!

Coding out a version of the KayakGPT Travel bot project

Learning how we can create and define your own functions that you can reuse within your projects

Reviewing the functions from our lesson and seeing how they work within VS code

Defining your very first functions within VS code

Learning how we can use multiple functions to work together, calling functions from within one another

Learning what Modules are and how we can create own own modules for cleaner, more readable code

Creating your very first modules using the functions we previously programmed

How to work with Random data and using the Random Module within our programs

Using the Random Module within VS code

How to work with Time and the Time Module in Python

Complete challenges with the Time Module

As Python is an OOP (Object Orientated Programming Language), you will learn how to work with objects and what they can do

Working with a new Module which allows us to learn the concept of Objects with ease

Now that you have a grasp on Objects, we will look at how we can create our own Classes

Creating your own Classes and Objects in VS code

We can use Classes to work together similar to how functions can work together.  In this lesson we will cover Inheritance and how we can Inherit classes

We will use Class Inheritance to build out classes in VS code

A new data type, an overview of how we can use Lists to store and go through data in Python

A third way to create Lists, We can also generate Lists from a single input

Coding challenges where we will work with Lists in VS code

An overview and introduction to working with PyGame and how this can be beneficial to us

Putting the basics of PyGame to use in a mini project using events

An overview at your first full-scale Python project!

Coding out our first PyGame in VS code

An overview of our 2nd PyGame, in this game you will now use Classes to complete your application

Coding out our 2nd game in VS code

Introduction to your final project!  This project will use everything we have learned in this course

Coding out the final project in VS code

A goodbye message from me to you

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Starts with Python basics and syntax, which is ideal for learners who have little to no prior experience with coding and need a gentle introduction
Includes hands-on exercises and coding projects, which allows learners to apply their knowledge and build practical skills for real-world scenarios
Culminates in building games using PyGame, which provides a fun and engaging way to apply Python skills and explore game development concepts
Requires installing Python and VS Code, which may pose a challenge for absolute beginners who are not familiar with software installation processes
Focuses on fundamental concepts rather than being an all-in-one course, which may not suit learners seeking comprehensive coverage of advanced topics
Uses VS Code, which is a standard tool, but learners may need to familiarize themselves with its interface and extensions to fully benefit from the course

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Reviews summary

Foundational python for absolute beginners

According to learners, this course is a highly effective starting point for absolute beginners looking to learn Python. Many highlight the instructor's clear explanations and the course's gentle pace as perfect for those with no prior coding experience. The hands-on exercises and projects are frequently praised for helping to solidify understanding through practical application. Students appreciate that it provides a solid foundation in the core fundamentals, exactly as promised. While it focuses on basics and isn't an all-in-one course, it successfully prepares learners for further study.
Course is focused on basics, not advanced topics.
"It's definitely focused on fundamentals, which is what I needed."
"As stated, it's not an all-in-one, but covers the basics thoroughly."
"Great for getting started, but you'll need other resources for more depth."
Provides a strong base in core Python concepts.
"The course gives a very solid foundation in Python fundamentals."
"Covers all the essential basics you need before moving on."
"Feel like I have a good understanding of the core Python elements now."
Hands-on coding reinforces learning effectively.
"The coding exercises and mini-projects really helped apply what I learned."
"Building the final projects was a great way to bring all the concepts together."
"I found the practical examples made the theory much easier to understand and remember."
Ideal starting point for someone with no experience.
"As an absolute beginner, this course was perfect for me. It starts right at the beginning."
"The pace is excellent for learning without feeling rushed or overwhelmed."
"Couldn't ask for a better introduction to Python programming."
Concepts are explained in an easy-to-grasp way.
"The instructor explains everything clearly, making complex topics easy to understand."
"Really liked how the course broke down difficult concepts into simple terms."
"Explanations were very thorough and easy to follow, even for someone completely new."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Python for Absolute Beginners with these activities:
Review Basic Math Concepts
Strengthen foundational math skills to better understand numerical operations and logic within Python.
Browse courses on Arithmetic
Show steps
  • Review arithmetic operations (addition, subtraction, multiplication, division).
  • Practice solving basic algebraic equations.
  • Familiarize yourself with order of operations (PEMDAS/BODMAS).
Read 'Python Crash Course'
Supplement course material with a comprehensive guide that reinforces fundamental concepts and provides practical examples.
Show steps
  • Read the first few chapters covering basic syntax and data types.
  • Work through the exercises at the end of each chapter.
  • Try one of the projects to apply your knowledge.
Complete Codecademy's Python Track
Reinforce learning through interactive exercises and coding challenges that cover core Python concepts.
Show steps
  • Sign up for a free Codecademy account.
  • Complete the introductory Python course.
  • Focus on exercises related to loops, conditionals, and functions.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Build a Simple Calculator
Apply learned concepts by creating a functional calculator that performs basic arithmetic operations.
Show steps
  • Define functions for addition, subtraction, multiplication, and division.
  • Take user input for numbers and operation choice.
  • Call the appropriate function based on user input.
  • Display the result to the user.
Create a Python Cheat Sheet
Consolidate knowledge by creating a reference guide of Python syntax, data types, and common functions.
Show steps
  • Review course materials and identify key concepts.
  • Organize the cheat sheet by topic (e.g., variables, loops, functions).
  • Include examples of code snippets for each concept.
Automate the Boring Stuff with Python
Expand knowledge by exploring practical applications of Python in automating tasks.
Show steps
  • Read chapters related to file manipulation and web scraping.
  • Try automating a simple task, like renaming files in a folder.
  • Explore the book's website for additional resources and examples.
Answer Questions on Stack Overflow
Reinforce understanding by helping others learn Python and debugging their code.
Show steps
  • Create a Stack Overflow account.
  • Search for Python-related questions tagged with 'beginner'.
  • Provide clear and concise answers to the questions.

Career center

Learners who complete Python for Absolute Beginners will develop knowledge and skills that may be useful to these careers:
Junior Python Developer
A Junior Python Developer writes and maintains code using Python. This course is designed for beginners who are eager to learn Python programming and build a solid foundation in this popular language. The course covers core programming concepts such as data types, variables, operators, conditionals, loops, and functions, all essential for a Python Developer. By learning how to write clean, efficient, and scalable Python code, you can solve real-world problems. The inclusion of projects, such as developing games using PyGame, provides practical experience that will be useful as a Python Developer.
Game Developer
Game Developers create video games for various platforms. This course introduces game development using the PyGame module. Learning Python fundamentals such as data types, variables, control structures, and object-oriented programming will assist you when building more advanced game features. The hands-on projects, including building multiple games in PyGame, are very valuable. This course is particularly useful for aspiring Game Developers who want to start with Python.
Automation Engineer
Automation Engineers design and implement automated systems and processes. Python is a popular language for implementing automation scripts and tools. This course on Python, which helps build a solid foundation in the language, introduces you to core programming concepts. This includes control structures, functions, and modules, all essential for automation. Moreover, the focus on creating reusable code will be highly beneficial as an Automation Engineer. Completing the projects included in the course may give you practical experience in applying these skills to real-world automation scenarios.
Software Engineer
A Software Engineer designs, develops, and tests software systems. The "Python for Absolute Beginners" course helps build a foundation in Python, a language widely used in software development. The course introduces core programming concepts, including data types, control structures, functions, and object-oriented programming. Understanding how to use modules and create reusable code is crucial for any Software Engineer. This course may enable you to write clean, efficient, and scalable Python code, skills highly valued in the field.
Software Developer in Test
A Software Developer in Test designs and implements automated tests to ensure software quality. The "Python for Absolute Beginners" course could be a great starting point for learning Python, which is widely used for test automation. The course helps build foundational skills in Python programming. This includes data types, control structures, functions, and modules. This may enable you to write effective test scripts and frameworks. Completing the projects included in the course will provide practical experience valuable for a Software Developer in Test.
Quality Assurance Engineer
Quality Assurance Engineers ensure the quality of software products through testing and analysis. Python is often used to write test automation scripts. This course helps build a foundation in Python, which can be valuable for automating testing processes. The course covers fundamental programming concepts, including data types, control structures, and functions. The ability to write clean and efficient code, as emphasized by this course, will be helpful in writing effective test scripts as a Quality Assurance Engineer.
Robotics Engineer
Robotics Engineers design, build, and program robots for various applications. Python is a popular language in robotics for its ease of use and extensive libraries. This course may be useful for anyone who wants to use Python in robotics projects. The course covers fundamental programming concepts, including data types, control structures, functions, and modules. Learning to write clean and efficient code, as taught in this course, will be useful in programming robots to perform complex tasks. The course's coverage of object-oriented programming is particularly relevant, as robots are often modeled as objects with specific behaviors.
Data Analyst
Data Analysts interpret and analyze data to provide insights and support decision-making. This course may be useful for anyone who wants to use Python for data analysis. This course builds a solid foundation in Python programming, covering fundamental concepts such as data types, variables, and control structures. Moreover, by learning to work with Python, you can automate data processing tasks and build analytical tools. The projects included in the course offer opportunities to apply these skills to real-world scenarios, improving your readiness for a role as a Data Analyst.
Web Developer
Web Developers create and maintain websites and web applications. Python, as covered in this course, is often used in backend web development with frameworks like Django and Flask. This course may be useful for anyone who wants to learn the fundamentals of Python programming. Understanding data types, variables, control structures, and functions, as taught in this course, is essential for web development. The course's focus on writing clean and efficient code will also contribute to your success as a Web Developer.
Data Scientist
Data Scientists analyze complex data sets to gain insights and develop predictive models. Python is one of the primary languages used in data science. This course may be useful for anyone who wants to learn Python for data science applications. This course builds a solid foundation in Python programming, covering fundamental concepts such as control structures, functions, and modules. The course will give you the ability to write efficient code for data manipulation, statistical analysis, and machine learning.
Backend Developer
Backend Developers are responsible for the server-side logic and databases that power web applications. Python is commonly used for backend development with frameworks like Django and Flask. This course may be useful for anyone interested in backend development with Python. The course provides a thorough introduction to Python programming, covering essential concepts such as data types, variables, control structures, functions, and modules. The ability to write clean and scalable code, as emphasized by this course, is important in building robust backend systems as a Backend Developer.
DevOps Engineer
DevOps Engineers automate software development and deployment processes. Python is often used for scripting and automation in DevOps environments. This course may be useful for anyone interested in using Python for DevOps tasks. This course helps build a strong foundation in Python programming, covering essential concepts such as data types, control structures, functions, and modules. The ability to write clean and efficient scripts, as emphasized by this course, will be helpful in automating various aspects of the software development lifecycle as a DevOps Engineer.
Machine Learning Engineer
Machine Learning Engineers develop and implement machine learning models. Python is the dominant language in the field of machine learning. This course, "Python for Absolute Beginners", helps build a solid foundation in Python. It covers key programming concepts such as data types, control structures, functions, and object-oriented programming, all of which are essential for machine learning. This hands-on experience, combined with the core Python knowledge gained from this course, will be beneficial as a Machine Learning Engineer.
Embedded Systems Engineer
Embedded Systems Engineers design and develop software for resource-constrained devices. Python can be used in conjunction with other languages for certain embedded applications. This course may be useful for anyone who wants to use Python in embedded systems projects. The course may help you to build a solid foundation in Python programming, covering core concepts such as data types, control structures, functions, and modules. The ability to write efficient code, as taught in this course, is particularly valuable when working with embedded systems.
Scientific Programmer
Scientific Programmers develop software for scientific research and simulations. Python is widely used in scientific computing due to its clear syntax and extensive libraries. This course may be useful for anyone who wants to use Python for scientific programming. This course builds a foundation in Python programming, covering fundamental concepts such as control structures, and functions. The ability to write clean and efficient code, as emphasized by this course, is essential in scientific applications as a Scientific Programmer.

Reading list

We've selected two books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Python for Absolute Beginners.
Provides a project-based introduction to Python, making it ideal for beginners. It covers fundamental concepts in a clear and concise manner, with plenty of hands-on exercises. It is commonly used as a textbook for introductory Python courses. This book adds breadth to the course by providing additional projects and examples.
Teaches Python through practical projects that automate everyday tasks. It's a great resource for applying Python skills to real-world problems. While not strictly necessary for the course, it provides valuable context and motivation. This book adds depth to the course by providing additional projects and examples.

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