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Rob Merrill

If you have no coding experience and want to begin coding in Python for the first time then this is the course for you.

Hi, I'm Rob. I know what it is like to have no coding experience and desire to code professionally. I started coding in 2016 and landed a full-time development shortly thereafter. It was hard but it was worth it.

That's why I'm here. To help you make that transition yourself.

In Hello Python you will immediately begin to learn the language of Python. We’ll learn the basic syntax of how the Python language works. 

Read more

If you have no coding experience and want to begin coding in Python for the first time then this is the course for you.

Hi, I'm Rob. I know what it is like to have no coding experience and desire to code professionally. I started coding in 2016 and landed a full-time development shortly thereafter. It was hard but it was worth it.

That's why I'm here. To help you make that transition yourself.

In Hello Python you will immediately begin to learn the language of Python. We’ll learn the basic syntax of how the Python language works. 

After that, we are going to apply what we learn to mini-projects. That will allow us to take what we have learned and put it into practice. Some courses teach you to build some sort of large application while you haven't mastered the basic syntax of Python.

This course will give you opportunities to build mini-applications step by step in a way that makes sense to someone learning programming for the first time or still learning the basics of programming.

This is an early release of this course and I will be adding approximately 30 minutes of new material per week. My JavaScript Bootcamp began and just an hour and is now over twenty hours long. Sign up now and come back weekly for updates.

This isn't the only Python course you should take but it should be your first.

Enroll now

What's inside

Learning objectives

  • Python syntax
  • Learn through mini applications
  • Become confident with learning how to think as a developer

Syllabus

Introduction
Welcome
Welcome - Video Walkthrough
Comments
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Best suited for complete beginners with no prior coding experience seeking an introduction to Python
Provides a hands-on approach through mini-projects, allowing learners to apply their understanding
Taught by an instructor who transitioned from no coding experience to a full-time development role, demonstrating the course's relevance and practicality
Covers essential Python syntax, ensuring a strong foundation for further learning

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Reviews summary

Beginner python syntax and mini-projects

According to learners, this course is a strong introduction to Python programming, especially for those with absolutely no prior coding experience. Students frequently praise the clear explanations of basic syntax and the inclusion of helpful mini-projects that allow immediate practice of concepts learned. The course is often described as well-paced and easy to follow for newcomers. However, some students note that while it provides a solid foundation, it may not go into sufficient depth on more complex topics or advanced applications, and the later sections, such as web scraping, are sometimes mentioned as less detailed or potentially outdated. Overall, it is widely seen as an excellent first step in learning Python.
Generally good pace, but some parts vary.
"The course is well-paced for beginners, moving logically from one concept to the next."
"Pacing was mostly good, although I felt some later sections went a bit too fast compared to the beginning."
"I liked the step-by-step structure building up with video walkthroughs for each concept."
"The modular approach with mini-projects in between topics was very effective for learning."
Hands-on practice reinforces learning.
"The mini-projects were invaluable for applying what I learned immediately."
"I loved that we got to build small applications; it really helped solidify my understanding."
"The practical exercises made the concepts stick much better than just watching lectures."
"Building the mini-apps was the most useful part of the course for me."
Core concepts are explained effectively.
"The explanations of basic syntax like variables, strings, and functions were very clear and easy to grasp."
"I really appreciated how the instructor broke down fundamental Python concepts step by step."
"Understanding the basic building blocks of Python was made simple through these lessons."
"The clarity of the syntax explanations made it much easier to follow along and practice."
Highly recommended for those new to coding.
"This course is perfect for absolute beginners who have never written a line of code before."
"I had zero programming experience and this course made Python seem approachable and easy to understand."
"If you are just starting out with Python, this is definitely the course you should take first."
"Great introduction to Python for someone with no background in programming."
"I found the pace just right for learning the basics without feeling overwhelmed."
Later topics might be brief or outdated.
"The web scraping part felt a bit rushed and didn't explain everything clearly."
"I had some trouble with the web scraping section; it seemed like some parts might be outdated."
"The later modules, like web scraping, could use more detailed explanations and potentially updates."
"Wish the web scraping project had more context or troubleshooting guidance."
Doesn't cover advanced topics thoroughly.
"While great for basics, the course doesn't go deep enough for anyone beyond a beginner level."
"I wish there had been more advanced topics covered; it feels like just the tip of the iceberg."
"This course provides a good start, but you will definitely need other resources to learn more advanced Python."
"It gives you the foundation but lacks the depth required for more complex programming tasks."

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 Hello Python - Python Programming for Beginners with these activities:
Review Python syntax
Review the basic syntax of the Python language to refresh your memory and solidify your understanding of its structure and conventions.
Browse courses on Python Syntax
Show steps
  • Review variables, data types, and operators
  • Practice writing simple expressions and statements
  • Execute code in a Python environment to test your understanding
Write a blog post on Python functions
Solidify your understanding of Python functions by creating a blog post that explains their purpose, syntax, and use cases. Share your knowledge with others and reflect on what you have learned.
Show steps
  • Research and gather information on Python functions
  • Organize your thoughts and outline the structure of your blog post
  • Write the content, providing clear explanations and examples
  • Edit and proofread your blog post
  • Publish your blog post and share it with the community
Show all two activities

Career center

Learners who complete Hello Python - Python Programming for Beginners will develop knowledge and skills that may be useful to these careers:
Software Developer
Software Developers build and maintain the software that powers our world. In this course, you will learn the basics of Python programming, which is a popular language used in many software applications. Learning Python will help you develop the skills you need to break into the tech industry as a Software Developer or in a similar role.
Data Analyst
Data Analysts use their skills in programming and data analysis to help businesses make informed decisions. In this course, you will learn the basics of Python programming, which is a popular language used in data analysis. Learning Python will help you develop the skills you need to break into the tech industry as a Data Analyst or in a similar role.
Web Developer
Web Developers create and maintain websites. In this course, you will learn the basics of Python programming, which is a popular language used in web development. While Python is not as popular as some other languages used in web development, such as JavaScript, the skills you learn in this course will help you quickly learn other languages and become a Web Developer.
Machine Learning Engineer
Machine Learning Engineers develop and maintain machine learning models. In this course, you will learn the basics of Python programming, which is a popular language used in machine learning. Learning Python will help you develop the skills you need to break into the tech industry as a Machine Learning Engineer or in a similar role.
Data Scientist
Data Scientists use their skills in programming, mathematics, and statistics to extract insights from data. In this course, you will learn the basics of Python programming, which is a popular language used in data science. Learning Python will help you develop the skills you need to break into the tech industry as a Data Scientist or in a similar role.
Quantitative Analyst
Quantitative Analysts use their skills in programming, mathematics, and statistics to develop financial models. In this course, you will learn the basics of Python programming, which is a popular language used in quantitative finance. Learning Python will help you develop the skills you need to break into the finance industry as a Quantitative Analyst or in a similar role.
Financial Analyst
Financial Analysts use their skills in programming, mathematics, and statistics to analyze financial data. In this course, you will learn the basics of Python programming, which is a popular language used in financial analysis. Learning Python will help you develop the skills you need to break into the finance industry as a Financial Analyst or in a similar role.
Actuary
Actuaries use their skills in programming, mathematics, and statistics to assess risk. In this course, you will learn the basics of Python programming, which is a popular language used in the insurance industry. Learning Python will help you develop the skills you need to break into the insurance industry as an Actuary or in a similar role.
Statistician
Statisticians use their skills in programming, mathematics, and statistics to collect, analyze, and interpret data. In this course, you will learn the basics of Python programming, which is a popular language used in statistics. Learning Python will help you develop the skills you need to break into the tech industry as a Statistician or in a similar role.
Business Analyst
Business Analysts use their skills in programming, mathematics, and statistics to analyze business data. In this course, you will learn the basics of Python programming, which is a popular language used in business analysis. Learning Python will help you develop the skills you need to break into the tech industry as a Business Analyst or in a similar role.
Computer Scientist
Computer Scientists use their skills in programming, mathematics, and statistics to design and develop computer systems. In this course, you will learn the basics of Python programming, which is a popular language used in computer science research and development. Learning Python will help you develop the skills you need to break into the tech industry as a Computer Scientist or in a similar role.
Software Engineer
Software Engineers build and maintain the software that powers our world. In this course, you will learn the basics of Python programming, which is a popular language used in many software applications. Learning Python will help you develop the skills you need to break into the tech industry as a Software Engineer or in a similar role.

Reading list

We've selected 13 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 Hello Python - Python Programming for Beginners.
Comprehensive introduction to Python and computer science. It covers the basics of the language as well as more advanced topics such as object-oriented programming and data structures.
Gentle introduction to Python and computer science. It covers the basics of the language as well as more advanced topics such as recursion and functional programming.
Quick and easy introduction to Python. It covers the basics of the language and includes a number of exercises to help you learn.
Comprehensive guide to algorithms and data structures in Python. It covers a wide range of topics, from basic algorithms to more advanced topics such as graph theory and dynamic programming.
Comprehensive guide to machine learning and deep learning in Python. It covers a wide range of topics, from basic machine learning concepts to more advanced topics such as deep learning and natural language processing.
Comprehensive guide to data science in Python. It covers a wide range of topics, from data cleaning and preparation to machine learning and data visualization.
Comprehensive guide to data analysis in Python. It covers a wide range of topics, from data cleaning and preparation to machine learning and data visualization.
Comprehensive guide to using Python for finance. It covers a wide range of topics, from financial data analysis to financial modeling.
Save
Comprehensive guide to using Python for web development. It covers a wide range of topics, from web application development to web scraping.
Comprehensive guide to using Python for bioinformatics. It covers a wide range of topics, from sequence analysis to data visualization.

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