One Week Python from Udemy

Don't waste your time with 60+ hour behemoth courses that you never finish. Instead, try this quick and effective pathway to Python that was designed with your sanity in mind. This course is the perfect first step into the world of data science, web dev, machine learning, or any other discipline that requires Python knowledge.

As an-person coding bootcamp instructor, I created this course to keep you engaged the entire way through. It's full of exercises, quizzes, challenges, and projects. The slides, diagrams, and cheatsheets were painstakingly designed to help you visualize the tricky concepts. There are no 20-minute monster videos in this course; the average video is only 4 minutes long. Everything about this course has been designed to make it actually completable.

This course covers all the Python essentials you need: everything from variables to data structures to object oriented programming and modules. You’ll fill up your Python toolbox so you can go on and tackle libraries like pandas, flask, scikitlearn, django, and more.

What this course is not: This course is not a complete guide to every single possible feature in the Python language. It focuses on the 80% that is absolutely critical and worth your time, but there are other (much longer) courses that are more akin to Python textbooks that take the time to cover every feature. In fact, I created one of those courses, and it happens to be 40 hours long.

As someone who has both created and purchased massive Udemy mega bootcamp courses, I know they are still the standard format on the platform, but maybe it’s time for something a bit more human and engaging. I thought it was worth a try at least.

Here's a detailed breakdown of what we cover:

Painless installation for all platforms and users
Working with numbers
Python variables
Strings and string methods
Booleans
Conditional Logic
Boolean Logic
Loops
Functions
Scope
Lists
Dictionaries
Sets
Tuples
*args and kwargs
Working with errors
Custom modules
3rd party modules
PIP
Object Oriented Programming
Classes

What's inside

Learning objectives

Master modern python fundamentals as quickly as possible
Learn the python you need to move on to data science or web development
Work with 3rd party python libraries and modules

Complete dozens of exercises, quizzes, and projects
You'll learn to code with python while staying sane!

Master modern python fundamentals as quickly as possible
Learn the python you need to move on to data science or web development
Work with 3rd party python libraries and modules
Complete dozens of exercises, quizzes, and projects
You'll learn to code with python while staying sane!

Syllabus

Welcome & Introduction

Welcome To The Course!

Join The Community!

What This Course IS NOT

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Offers a fast-paced introduction to Python, which is ideal for learners who prefer a more efficient learning experience and want to quickly apply their knowledge

Covers Python essentials from variables to object-oriented programming, which builds a strong foundation for tackling more advanced topics and libraries

Prepares learners to use libraries like Pandas, Flask, and Scikit-learn, which are essential tools in data science and web development

Features short, focused videos and hands-on exercises, which helps learners stay engaged and retain information more effectively

Focuses on the most critical 80% of the Python language, which allows learners to prioritize essential concepts and avoid getting bogged down in unnecessary details

Does not cover every single possible feature in the Python language, which may require learners to seek additional resources for more specialized knowledge

Reviews summary

Fast-paced python fundamentals for beginners

According to learners, this course offers a quick and effective introduction to Python fundamentals. Many highlight its beginner-friendly approach and the short video format as making the material easy to digest and complete. The hands-on exercises and quizzes are frequently praised for helping solidify understanding. While students appreciate that it covers the essential 80% of Python needed as a first step into fields like data science or web development, some note that it is not a deep dive and serves best as a foundational overview rather than a comprehensive reference. Overall, the feedback indicates a largely positive experience for those seeking a rapid and manageable entry into Python.

Focuses on essentials; may require further study.

"This course is exactly what it says - a one week intro. It covers the core but definitely isn't exhaustive."

"Sets you up nicely to move onto more advanced topics or specific libraries, but you won't be an expert after this."

"Good overview, but if you need deep dives into specific modules or advanced OOP, you'll need other resources."

"It gives you the tools to start, but you'll need longer courses or practice to gain true proficiency."

Instructor is praised for clear and effective teaching.

"The instructor is fantastic! Explains things very clearly and keeps you engaged."

"Really appreciated the instructor's style - knowledgeable and straight to the point."

"Explains complex topics in a simple way that makes sense."

"Instructor's experience shows in how well the material is structured."

Excellent starting point for newcomers to Python.

"As someone completely new to coding, I found this course incredibly accessible and easy to follow."

"It lays a solid foundation for someone just starting out with Python."

"The instructor breaks down complex ideas into simple, understandable steps."

"Good for beginners, covers the basics well without being overwhelming."

Short videos, exercises, and visuals aid learning.

"The video lengths are perfect! Easy to focus and absorb the information in just a few minutes per topic."

"Exercises and quizzes after each section were incredibly helpful for practicing and retaining what was taught."

"The diagrams and slides were clear and really helped visualize some trickier concepts."

"Loved the coding challenges - they were practical and made the learning interactive."

Offers a quick, completable introduction to Python.

"The course is super fast-paced, which is great for getting a quick overview without getting bogged down."

"I loved how manageable this course was. It really can be done in about a week if you dedicate the time."

"Didn't waste time on unnecessary details, focusing just on the core concepts you need to get started."

"Perfect for someone like me who has struggled to finish longer, more detailed Python courses."

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 One Week Python with these activities:

Review Basic Python Syntax

Show steps

Reviewing basic Python syntax will help you grasp the fundamentals covered in the course more quickly.

Browse courses on Python Syntax

Show steps

Read through a Python syntax cheat sheet.
Complete basic coding exercises on variables, data types, and operators.
Write simple programs using conditional statements and loops.

Read 'Python Crash Course'

Show steps

Reading 'Python Crash Course' will provide a more in-depth understanding of the Python fundamentals covered in the course.

View Python Crash Course, 2nd Edition: A Hands-On,... on Amazon

Show steps

Read the first few chapters covering basic Python syntax and data structures.
Work through the exercises and projects in the book.

Practice Coding Challenges on HackerRank

Show steps

Practicing coding challenges will reinforce your understanding of Python syntax and problem-solving skills.

Show steps

Sign up for a HackerRank account.
Complete Python challenges focusing on data types, loops, and conditional statements.
Review solutions and learn from other users' code.

Four other activities

Expand to see all activities and additional details

Show all seven activities

Create a Python Cheat Sheet

Show steps

Creating a cheat sheet will help you consolidate your knowledge of Python syntax and key concepts.

Show steps

Review the course materials and identify key concepts and syntax.
Organize the information into a concise and easy-to-read format.
Include examples and explanations for each concept.

Build a Simple Calculator

Show steps

Building a calculator will allow you to apply your Python skills to a practical project.

Show steps

Design the calculator's user interface.
Implement the calculator's functionality using Python.
Test the calculator and fix any bugs.

Follow a Web Scraping Tutorial

Show steps

Following a web scraping tutorial will expose you to a real-world application of Python and introduce you to relevant libraries.

Show steps

Find a tutorial on web scraping using Beautiful Soup or Scrapy.
Follow the tutorial and scrape data from a website.
Analyze the scraped data and draw insights.

Contribute to a Python Project on GitHub

Show steps

Contributing to an open-source project will give you valuable experience working with real-world code and collaborating with other developers.

Show steps

Find a Python project on GitHub that interests you.
Read the project's documentation and contribution guidelines.
Identify a bug or feature to work on.
Submit a pull request with your changes.

Career center

Learners who complete One Week Python will develop knowledge and skills that may be useful to these careers:

Data Analyst

A data analyst uses programming languages like Python to extract insights from data. This course helps build a foundation in Python, covering essential topics such as data structures, variables, and modules. These are tools data analysts regularly use to manipulate, analyze, and visualize data. The course's focus on a quick, but comprehensive, introduction to Python allows one to quickly apply the language's fundamentals to practical data analysis tasks, making it particularly helpful for aspiring data analysts.

See salaries and explore the career path for Data Analyst

Web Developer

Web developers use a variety of programming languages, and Python is a popular choice for building server-side logic and implementing web applications. This course introduces Python fundamentals, including object oriented programming concepts and working with 3rd party modules and libraries. This knowledge is crucial for any web developer looking to gain backend control. The course's emphasis on practical exercises and projects provides valuable hands-on experience, which is especially useful for newcomers to web development.

See salaries and explore the career path for Web Developer

Software Developer

A software developer designs, develops, and implements software solutions, and Python is a very popular language in the field. This course helps to build a strong foundation in programming with Python. The course introduces core concepts like variables, data structures, and object-oriented programming which are all essential for software developers. The course is designed to be engaging and completable, making it a great first step for anyone wanting to transition to a career as a software developer.

See salaries and explore the career path for Software Developer

Data Scientist

Data scientists use a combination of statistical analysis, programming, and domain expertise to extract knowledge from data. Python is a critical tool for data scientists, and this course, which provides a strong foundation in Python fundamentals such as data structures and modules, may be a useful first step for those looking to enter the field. Additionally, the course is designed to be easily completable, which helps students quickly pick up the language and begin using it in their work.

See salaries and explore the career path for Data Scientist

Backend Engineer

Backend engineers specialize in server-side logic and database management, with Python being a popular language in the field. This course introduces the fundamentals of Python, including working with modules and object-oriented programming. These capabilities are critical to a backend engineer's daily tasks. The course’s focus on practical exercises and projects to help build a solid foundation is especially helpful for those looking to pivot into backend engineering. This course can help build a foundation for backend technologies.

See salaries and explore the career path for Backend Engineer

Machine Learning Engineer

Machine learning engineers use Python to develop and implement algorithms that allow computers to learn from data. This course offers a quick and effective pathway to Python, covering all the essentials, including data structures and object oriented programming. These are foundational skills for those looking to work with machine learning libraries like scikit-learn. This course may be a useful first step for those curious about machine learning and a career in the field.

See salaries and explore the career path for Machine Learning Engineer

Automation Engineer

Automation engineers design implement and maintain automated solutions, often requiring programming knowledge. This course provides Python fundamentals, including modules and object oriented programming, which can help a professional write scripts and create automation procedures. The course is designed to be practical, incorporating exercises, quizzes, and projects that build applicable skills. This would be a good primer for automation engineers who wish to add to their toolbelt.

See salaries and explore the career path for Automation Engineer

Research Scientist

Research scientists may use Python for data analysis, simulations, or model building. This course introduces Python essentials such as variables, data structures, and modules. These capabilities can be vital when conducting research, especially for those who work with quantitative data. This may be a useful course to build a useful foundation for research-related tasks in a wide variety of scientific fields.

See salaries and explore the career path for Research Scientist

Quantitative Analyst

Quantitative analysts use mathematical and statistical methods to solve problems in finance. Python is a standard tool for quantitative analysis, and this course provides a quick and effective pathway to Python fundamentals. This course helps to build a foundation in programming which may be helpful in building more complex models and performing data analysis. While this course is a short introduction, it may help provide a necessary tool for quantitative analysis.

See salaries and explore the career path for Quantitative Analyst

Bioinformatician

Bioinformaticians analyze biological data using computational tools, often requiring proficiency in Python. This course helps build Python fundamentals such as working with modules, object oriented programming, and data structures, all of which may be useful in this domain. The course’s focus on practical application may help the bioinformatician quickly learn how to use these tools in the lab or office. This course may be a good introduction to programming in the field.

See salaries and explore the career path for Bioinformatician

DevOps Engineer

DevOps engineers work to streamline the software development lifecycle, often using Python for automation and configuration management. This course introduces foundational Python concepts such as data structures, modules, and object oriented programming. This course may be helpful for a DevOps engineer who needs to learn the fundamentals of Python for scripting and automation.

See salaries and explore the career path for DevOps Engineer

Robotics Engineer

Robotics engineers design, build, and test robots. Python is often used for controlling robots and analyzing data they collect. This course introduces Python essentials like variables, data structures, and modules. A strong understanding of these core competencies may be useful for a robotics engineer who wants to use Python in their projects. This course may help provide a useful set of tools.

See salaries and explore the career path for Robotics Engineer

Game Developer

Game developers create video games, and Python can be used for scripting, tools development, and prototyping. This course introduces Python concepts like variables, data structures and modules, which build a foundation that game developers may find useful to use alongside other game dev tools. This course may be helpful for any game developer looking to add Python to their toolbelt.

See salaries and explore the career path for Game Developer

Financial Analyst

Financial analysts use data to offer insights on investments or financial performance. While their work is more focused on financial modeling and analysis, Python can be helpful in data analysis. This course helps build a foundation in Python with an introduction to data structures, which may be a useful skill to develop. A financial analyst may find this course helpful in expanding their toolset.

See salaries and explore the career path for Financial Analyst

Database Administrator

Database administrators manage the performance and security of databases. Although their job is often specialized for database management, Python can be helpful in automating tasks and scripting database operations. This course introduces Python fundamentals, including working with modules, which can help a database administrator become more efficient. A database administrator who wants to streamline operations may find this course helpful.

See salaries and explore the career path for Database Administrator

One Week Python

What's inside

Learning objectives

Syllabus

Traffic lights

Save this course

Reviews summary

Fast-paced python fundamentals for beginners

Activities

Career center

Reading list

Share

Similar courses