The Modern Python 3 Bootcamp from Udemy

Updated to include SQL + Python.

Welcome to the Modern Python 3 Bootcamp. I've launched my fair share of Udemy courses, but I've never done anything quite this crazy.

This course is a unique experience on Udemy. There are dozens of existing Python courses you can choose from, but this course is the only one that has nearly 200 interactive challenges you can complete right here in your browser. I didn't just tack on a couple of exercises at the end; this course is fully built around the coding exercises. This course is all about getting you writing code ASAP, rather than sitting back watching a bunch of videos.

In development, I referred to this course as a hybrid between a typical Udemy course and an interactive Codecademy-style course. You get over 25 hours of in-depth videos and my dumb jokes along with meticulously created exercises and quizzes to test your knowledge as you go.

Many of the older Python courses still focus on Python 2. This course is all about writing the most modern, up-to-date Python code, so Python 3 was the obvious choice. The course covers all the latest additions and changes to the Python language. The course also places a large emphasis on thinking like a Python developer, and writing code the "Pythonic" way.

As for the curriculum, This course teaches all the key topics covered by other Python courses, but also covers more advanced topics like web scraping, crawling, and testing, just to name a few. Please feel free to explore the curriculum and watch some of the free preview videos.

Python is consistently ranked in either first or second place as the most in-demand programming languages across the job market. It has applications in data science, machine learning, web development, self-driving cars, automation, and many many other disciplines. There has never been a better time to learn it.

I'm spent years teaching people to program at in-person bootcamps in the San Francisco Bay Area. In recent years, I've started bringing my methods from the classroom to the online world. In my first year teaching online, I was selected as the Best Newcomer Instructor in the Udemy Instructor Awards 2015. I'm passionate about making the best possible online learning experiences that mirror my in-person courses.

If you want to take

What's inside

Learning objectives

Learn all the coding fundamentals in python!
Work through nearly 200 exercises and quizzes!
Learn about all of the latest features in python 3.6
Use python to create an automated web crawler and scraper
Make complex http requests to apis using python
Master the quirks of python style and conventions
Really really understand object oriented programming in python
Learn testing and tdd (test driven development) with python
Write your own decorators and higher order functions
Write your own generators and other iterators
Confidently work with lambdas!

Master tricky topics like multiple inheritance and polymorphism
Build games with python
Build larger projects that span across multiple files
Work with all the python data structures: lists, dictionaries, sets, tuples, and more!
Become an expert at list and dictionary comprehensions
Master built-in python functions like zip and filter
Handle errors and debug code
Write your own custom modules
Work with files, including csv
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Learn all the coding fundamentals in python!
Work through nearly 200 exercises and quizzes!
Learn about all of the latest features in python 3.6
Use python to create an automated web crawler and scraper
Make complex http requests to apis using python
Master the quirks of python style and conventions
Really really understand object oriented programming in python
Learn testing and tdd (test driven development) with python
Write your own decorators and higher order functions
Write your own generators and other iterators
Confidently work with lambdas!
Master tricky topics like multiple inheritance and polymorphism
Build games with python
Build larger projects that span across multiple files
Work with all the python data structures: lists, dictionaries, sets, tuples, and more!
Become an expert at list and dictionary comprehensions
Master built-in python functions like zip and filter
Handle errors and debug code
Write your own custom modules
Work with files, including csv
Show more
Show less

Syllabus

Course Introduction

Join The Community!

Python3 vs. Python2

How The Exercises Work

Where Should You Start?

How The Course is Structured

MAC/LINUX Command Line Fundamentals

Why Use The Command Line?

Command Line Installation: MAC

Absolute Paths and PWD

Using CD

Using LS

This quiz will cover navigating the command line.

Making Directories with MKDIR

Creating Files with TOUCH

Quick Activity: Salamanders and Frogs

Moving and Renaming with MV

Deleting Files with RM

Deleting Directories (Plus Tangents on Permissions and MAN Pages)

This quiz will cover manipulating files on the command line.

WINDOWS Command Line Fundamentals

Why Do You Need The Command Line?

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Paths, LS, and PWD

Using The CD Command

Command Line Fundamentals (Windows)

OPTIONAL: Making Directories with MKDIR

OPTIONAL: Making Files (it's...complicated)

Creating a Touch Function

OPTIONAL: Removing Files and Folders with RM

Command Line Fundamentals II (Windows)

MAC Python Setup

Installing Python: MAC

Optional: Installing Sublime Text

Our First Python Program!

Say Your Name

SOLUTION

Important Note on Print and the Python Interpreter

WINDOWS Python Setup

Installing Python On a PC

Introducing Sublime Text

Your First Python Program

Print Your Name

Numbers, Operators, and Comments

Section Introduction/Objectives

Numbers: Ints and Floats

A super quick quiz to make sure you're comfortable identifying floats and ints.

Numbers: Basic Math

Quiz on Math order of operations

Quick Note: Comments

One Question Quiz

Numbers: Weirder Operators

Numbers Quiz

Introduction to the Python Documentation

Variables and Strings

Variables and Data Types

Introduction to Variables

Bank Robbery Money

Variable Naming Restrictions and Conventions

Data Types Overview

What The Heck is Dynamic Typing

Super Quick One Question Quiz!

The Special Value NONE

Double Vs. Single Quotes

Make Some Variables!

String Escape Sequences

Escape Sequence Practice

String Concatenation

String Concatenation Exercise

String Formatting

Formatting Strings

Strings and Indexes (Indicies?)

Converting Data Types

Building a Mileage Convertor With User Input

Boolean and Conditional Logic

Section Introduction and Objectives

Getting User Input

Intro to Conditionals

Lucky Number 7

Number is Odd

Multiple Elifs

A Word on Truthiness + A Quick Example

The Joy of Comparison Operators

Logical AND & OR

Food Classifying Exercise

LOGICAL NOT

Basics of Boolean Logic, not necessarily unique to Python!

A Note on Is Vs. ==

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Builds a strong foundation for beginners in the Python programming language

Taught by Colt Steele, recognized for their Python instruction

Develops skills, knowledge, and tools highly relevant to industry

Offers hands-on labs and interactive materials

Provides comprehensive coverage of Python fundamentals

May require additional software or tools not typically found in a household

Reviews summary

Python bootcamp for beginners

Learners say this Python bootcamp is a great course for beginners who want to learn the basics of Python. Students enjoyed the instructor's humor and found the course materials to be very comprehensive. Some learners mentioned that they would like to see more information on using the pytest framework for testing in the course.

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 The Modern Python 3 Bootcamp with these activities:

Read Head First Python

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Provides a comprehensive overview of Python concepts and strengthens foundational knowledge.

View Head First Python: A Learner's Guide to the... on Amazon

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Obtain a copy of the book
Read through the book, taking notes and highlighting important concepts
Complete the exercises and examples provided in the book

Connect with Python Developers

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Provides access to experienced professionals for guidance and inspiration.

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Identify potential mentors through professional networks, online platforms, or personal connections
Reach out to individuals who align with learning goals and interests
Request guidance, support, and advice on Python development and career growth

Execute Python Lists Exercises

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Contributes to skill-building, especially in manipulating data structures.

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Attempt exercises created around Python Lists
Find exercises that align with specific topics and objectives in the course
Apply knowledge and understanding of Lists to solve the exercises

Four other activities

Expand to see all activities and additional details

Show all seven activities

Learn Python Dictionaries Best Practices

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Strengthens understanding of data structures and their usage in Python.

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Identify and locate resources that provide tutorials on Python Dictionaries
Follow and understand the provided tutorials, taking notes or making summaries
Implement the learned practices in Python coding exercises to test understanding

Python Function Development Exercise

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Tests comprehension of functions, their purpose, and their creation.

Browse courses on Functions

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Identify a real-world problem or scenario that can be solved using a Python function
Design and develop a Python function that addresses the problem or scenario
Write a detailed description of the function's purpose, parameters, and return value
Test the function thoroughly using various input values to ensure its accuracy and robustness

Python Class Inheritance Tutorial

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Reinforces understanding of inheritance and its significance in OOP.

Browse courses on Object-Oriented Programming

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Research and gather information on Python class inheritance concepts
Structure and write a comprehensive tutorial explaining the principles of inheritance
Provide examples and code snippets to illustrate the concepts and their practical applications
Review and refine the tutorial to enhance its clarity and effectiveness

Contribute to Python Open Source Project

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Enhances problem-solving skills, collaboration, and understanding of Python's real-world applications.

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Identify a suitable open source Python project to contribute to
Review the project's documentation and codebase
Propose a feature or bug fix and submit a pull request
Work with the project maintainers to refine and merge the contribution

Career center

Learners who complete The Modern Python 3 Bootcamp will develop knowledge and skills that may be useful to these careers:

Data Scientist

The data scientist is a role that analyzes data with the purpose of extracting meaningful insights from it, which could be used to make better business decisions. They mostly deal with data in many formats, often large in volume, to incorporate various algorithms and techniques like machine learning and predictive analytics. The course covers Python 3, a popular and versatile programming language used extensively in data science, which makes for a strong foundation for this career path.

See salaries and explore the career path for Data Scientist

Software Engineer

Software engineers apply their knowledge of computer science and programming to design, develop, and maintain software applications for many devices and platforms, implementing requirements using a programming language. This course provides a comprehensive understanding of Python 3 and its ecosystem, which along with the many hands-on, interactive exercises, can help build a solid foundation for success in this in-demand career.

See salaries and explore the career path for Software Engineer

Web Developer

Web developers design and develop websites, taking a project from concept to creation. They are responsible for the look, functionality, and usability of websites, using a variety of programming languages and tools. This course covers Python 3 and its applications in web development, along with concepts like web scraping and crawling, which will be useful for building web-based applications.

See salaries and explore the career path for Web Developer

Data Analyst

Data analysts combine programming and statistical analysis to interpret data and create data-driven recommendations. They use a variety of techniques and tools to clean, prepare, and analyze data, and then present their findings in a clear and concise way. Python 3 is a popular language for data analysis, and this course provides a strong foundation in its use for this role.

See salaries and explore the career path for Data Analyst

Machine Learning Engineer

Machine learning engineers design, develop, and deploy machine learning models. They work with data scientists to understand the business problem and translate it into a technical solution. The course covers Python 3 and its popular machine learning libraries, and includes hands-on exercises to understand concepts like supervised and unsupervised learning.

See salaries and explore the career path for Machine Learning Engineer

Automation Engineer

Automation engineers design, develop, and maintain automated systems to increase efficiency and productivity. They use a variety of programming languages and tools to create automated processes, and Python 3 is a popular choice. This course provides a practical introduction to Python 3 and its automation capabilities.

See salaries and explore the career path for Automation Engineer

DevOps Engineer

DevOps engineers bridge the gap between development and operations teams. They work to ensure that software is developed and deployed quickly and efficiently. Python 3 is a versatile language used in DevOps for tasks like testing, deployment, and monitoring. This course includes hands-on exercises that cover these concepts and will be useful for aspiring DevOps engineers.

See salaries and explore the career path for DevOps Engineer

Cloud Engineer

Cloud engineers design, build, and manage cloud computing systems. They use a variety of programming languages and tools to create and maintain cloud-based applications and services. Python 3 is a popular language for cloud computing, and this course covers its use for tasks like serverless computing, data storage, and machine learning.

See salaries and explore the career path for Cloud Engineer

Business Analyst

Business analysts use data and technology to analyze business processes and identify opportunities for improvement. They use a variety of tools and techniques to gather and analyze data, and Python 3 is a popular choice for data analysis and visualization. This course provides a solid understanding of Python 3, which will be helpful for aspiring business analysts.

See salaries and explore the career path for Business Analyst

Financial Analyst

Financial analysts use data and financial models to analyze investment opportunities and make recommendations. They use a variety of tools and techniques to gather and analyze data, and Python 3 is a popular choice for data analysis and visualization. This course provides a solid understanding of Python 3, which will be helpful for aspiring financial analysts.

See salaries and explore the career path for Financial Analyst

Operations Research Analyst

Operations research analysts use mathematical and analytical techniques to solve business problems. They use a variety of tools and techniques to gather and analyze data, and Python 3 is a popular choice for data analysis and visualization. This course provides a solid understanding of Python 3, which will be helpful for aspiring operations research analysts.

See salaries and explore the career path for Operations Research Analyst

Product Manager

Product managers are responsible for the development and launch of new products. They work with engineers, designers, and marketers to ensure that products meet the needs of customers. Python 3 is a popular language for data analysis and visualization, which are important skills for product managers. This course provides a solid understanding of Python 3, which will be helpful for aspiring product managers.

See salaries and explore the career path for Product Manager

Marketing Analyst

Marketing analysts use data and analytics to understand customer behavior and develop marketing campaigns. They use a variety of tools and techniques to gather and analyze data, and Python 3 is a popular choice for data analysis and visualization. This course provides a solid understanding of Python 3, which will be helpful for aspiring marketing analysts.

See salaries and explore the career path for Marketing Analyst

Technical Writer

Technical writers create documentation for software and hardware products. They use a variety of writing and editing tools to create clear and concise documentation that explains how to use products. Python 3 is a popular language for software development, and this course provides a solid understanding of its syntax and usage, which will be helpful for aspiring technical writers.

See salaries and explore the career path for Technical Writer

Game Developer

Game developers design and develop video games for a variety of platforms. They use a variety of programming languages and tools to create game engines, graphics, and gameplay. Python 3 is a popular language for game development, especially for indie game developers. This course provides a solid understanding of Python 3, which will be helpful for aspiring game developers.

See salaries and explore the career path for Game Developer