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Python for Programmers

4.5 Filled star Filled star Filled star Filled star Half star
Based on 4,080 ratings
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Nick Walter

Python for Programmers is the course to help you get up to speed on Python quickly. If you've always wanted to check out Python this is your chance.

This course uses in-browser programming exercises to make sure you are learning as you progress through the course. After each lecture, you are presented with an exercised designed to help test your knowledge.

This course can be completed in a weekend if pursued aggressively or could be a two week course if one section is completed every day.

Don't waste time trying to figure out confusing documentation, take python for programmers and start learning now.

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What's inside

Learning objectives

  • Create complex python scripts and programs
  • Confidently write python 3 code

Syllabus

Write your first line of Python
Welcome
Hello World
Python 2 vs 3
Read more

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Uses in-browser programming exercises, ensuring learners actively apply concepts as they progress, reinforcing their understanding through practical application
Covers setting up Python on both Mac and Windows, which is helpful for those new to the language regardless of their operating system
Explores object-oriented programming, a core paradigm that is essential for building scalable and maintainable applications in Python
Includes exercises on topics like handling user input and working with data structures, which are fundamental for building interactive applications
Teaches the use of 'try-except' blocks for error handling, which is crucial for writing robust and reliable Python code in production environments
Focuses on Python 3, the current version of the language, ensuring that learners are using the most up-to-date tools and techniques

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Reviews summary

Quick start to python programming

According to learners, this course is a solid introduction to Python for those new to the language, especially programmers transitioning from other languages or beginners with some prior coding exposure. Students say the in-browser programming exercises are a highlight, providing practical, hands-on experience that helps reinforce core concepts quickly. While it successfully helps you get up to speed quickly on fundamentals like data types, control flow, and functions, some reviewers note that it lacks depth for advanced topics and might be too basic for experienced Python developers seeking in-depth knowledge or complex projects. Overall, it's viewed as a practical and well-structured foundation, though it may require supplementary learning for more advanced applications.
Convenient exercise environment.
"The integrated coding environment makes it super easy to jump in and start practicing immediately."
"Having everything in the browser means no setup hassle, which is great."
"While convenient, the in-browser setup can feel a bit limited compared to a full development environment."
"The exercises run smoothly right in the course interface."
Well-structured and moves quickly.
"The course is logically structured, building from basic data types up through functions and intro OOP."
"The pace is fast but manageable if you keep up with the exercises."
"Modules are bite-sized and easy to complete in a short period, as advertised."
"I liked how the course was broken down into small, digestible lessons."
Quickly covers fundamental Python concepts.
"This course is a fantastic starting point if you're new to Python or programming."
"It covers all the Python basics you need to get started without getting bogged down."
"Perfect for getting a quick overview of Python's core features."
"As someone with limited programming experience, I found this course easy to follow."
Hands-on coding reinforces understanding.
"The hands-on coding and projects are the strongest part of the course for me."
"I really appreciated the in-browser exercises after each section; they make sure you're actually learning."
"The exercises are great for solidifying the material and making sure you can apply what you just learned."
"Solving coding problems directly in the browser is very convenient and helpful for practice."
May be too basic for experienced coders.
"Could use more in-depth coverage on complex topics or optimization techniques."
"While it's a good intro, it barely scratches the surface of Python's capabilities for real-world tasks."
"Experienced programmers might find this course moves too slow and doesn't go deep enough into certain areas."
"Wish there were more advanced examples or projects beyond the fundamentals."

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 Programmers with these activities:
Review Basic Programming Concepts
Reinforce fundamental programming concepts like variables, data types, and control flow to ensure a solid foundation before diving into Python-specific syntax.
Browse courses on Variables
Show steps
  • Review notes from previous programming courses.
  • Complete practice exercises on basic programming concepts.
  • Watch introductory videos on programming fundamentals.
Read 'Python Crash Course'
Supplement the course material with 'Python Crash Course' to gain a broader understanding of Python syntax and best practices.
View Python Crash Course, 3rd Edition: A Hands-On,... on Amazon
Show steps
  • Read assigned chapters before each corresponding course module.
  • Complete the exercises at the end of each chapter.
  • Take notes on key concepts and syntax.
Practice String Manipulation Exercises
Sharpen string manipulation skills through targeted exercises, focusing on slicing, concatenation, and methods to improve proficiency in Python string handling.
Show steps
  • Solve string-based coding challenges on platforms like HackerRank or LeetCode.
  • Experiment with different string methods in the Python interpreter.
  • Write functions to perform common string operations.
Three other activities
Expand to see all activities and additional details
Show all six activities
Create a Python Cheat Sheet
Compile a personalized Python cheat sheet summarizing key syntax, methods, and concepts covered in the course to serve as a quick reference guide.
Show steps
  • Review course materials and identify key concepts.
  • Organize the cheat sheet by topic.
  • Include code examples and explanations.
  • Refine and update the cheat sheet as you progress through the course.
Build a Simple Text-Based Game
Apply learned Python concepts by developing a text-based game, integrating conditionals, loops, and user input to solidify understanding and problem-solving abilities.
Show steps
  • Design the game's rules and mechanics.
  • Implement the game logic using Python code.
  • Test and debug the game thoroughly.
  • Add features to enhance the game.
Contribute to a Simple Python Project on GitHub
Gain practical experience by contributing to a beginner-friendly Python project on GitHub, learning about version control, collaboration, and real-world coding practices.
Show steps
  • Find a suitable open-source project on GitHub.
  • Fork the repository and set up a local development environment.
  • Identify a small bug or feature to work on.
  • Submit a pull request with your changes.

Career center

Learners who complete Python for Programmers will develop knowledge and skills that may be useful to these careers:
Software Developer
A software developer's primary responsibility is to design, code, and test software applications. This course helps build a foundation in Python, a popular language used in software development, with a focus on practical application through in-browser exercises. The course’s modules on data types, control structures such as conditionals, loops, and functions, and object-oriented programming, are crucial for any aspiring software developer. By learning to write complex scripts and programs, you will be better prepared for the kinds of coding challenges faced daily by a software developer. This course is a great first step for those who wish to create software.
See salaries and explore the career path for Software Developer
Backend Developer
Backend developers are responsible for building and maintaining the server-side logic of applications. This course helps build a foundation in Python, a popular choice for backend development, by introducing core programming concepts and practical coding exercises. The course provides hands-on experience with control structures, functions, and data structures, which backend developers use daily to facilitate data handling, manage user authentication, and create application logic. If you plan to be a backend developer, this course is a great place to begin your studies.
See salaries and explore the career path for Backend Developer
Web Developer
Web developers are involved in the creation and maintenance of websites and web applications. This course helps build a foundation for server-side web development using Python. Python is often used with web frameworks for tasks such as handling user data, managing databases, and building APIs. The practical exercises provided in the course help you learn how to write Python code used in web backend systems. The course provides an excellent and quick start for aspiring web developers who want hands-on coding experience to develop critical thinking and problem-solving skills via practical coding experience.
See salaries and explore the career path for Web Developer
Automation Engineer
Automation engineers create automated processes and systems using software. Python is frequently used for automation tasks, making this course helpful for those who wish to enter this field. The course covers core Python concepts like loops, functions, and data structures, which would be very helpful in the creation of automated solutions. The practical exercises in the course provide experience that will be useful for an automation engineer. You will learn to write complex Python scripts, which may be helpful in automating various processes in your career.
See salaries and explore the career path for Automation Engineer
Algorithm Designer
Algorithm designers create and analyze algorithms for various applications. This course may be helpful to an aspiring algorithm designer as it will help build a foundation in Python, which is a useful language for developing and testing algorithms. By learning core concepts like variables, control flow, loops, functions, and data structures, you will be better prepared to implement and test algorithms. The course helps you develop complex programs that will be useful in your work as a algorithm designer. The in-browser coding exercises would be good practice for those that wish to enter this field.
See salaries and explore the career path for Algorithm Designer
Data Scientist
Data scientists analyze data to extract meaningful insights and guide decision-making. Python is one of the most important tools used by data scientists, and this course helps build a foundation in Python programming. This course will be beneficial in quickly developing skills in fundamental programming constructs like variables, control flow, loops, functions, and data structures and using them to build complex programs and scripts. If you want to pursue a career in data science, this course may be useful as the core skills taught are vital for success in the data science field.
See salaries and explore the career path for Data Scientist
Machine Learning Engineer
A machine learning engineer develops and implements machine learning models. Python is crucial in this field, and this course may be helpful because it provides a foundation in Python programming. With the course, you can learn core programming concepts like variables, control flow, loops, functions, and data structures and build complex scripts and programs. These skills are essential for any aspiring machine learning engineer. If you want to pursue a career as a machine learning engineer, this course can get you started in core Python programming that is necessary in this field.
See salaries and explore the career path for Machine Learning Engineer
Data Analyst
Data analysts collect, analyze, and interpret data to identify trends and patterns, which is crucial for informed decision-making. This course may be helpful because it provides a foundation in Python, which is a useful language for a data analyst to know how to use. This course moves through variables, control flow, loops, functions, and data structures. The ability to develop complex scripts and programs can be applied in the daily work of a data analyst. The course's hands-on in-browser exercises may be helpful for those who wish to enter the data analysis field.
See salaries and explore the career path for Data Analyst
DevOps Engineer
DevOps engineers focus on streamlining the software development process, and Python is a useful language in this field for automation, scripting, and configuration management. This course may be helpful since it provides a foundation in core programming concepts like variables, control flow, loops, functions, and data structures in Python. It provides practical coding experience that is useful to the DevOps engineer. With this course, you learn to develop complex scripts, which can help a DevOps engineer in automating tasks and deployment processes.
See salaries and explore the career path for DevOps Engineer
Data Engineer
Data engineers build and manage data infrastructure, and often use Python for data processing and automation. This course helps build a foundation in Python and covers fundamental programming concepts such as control structures, functions, and data structures. The practical exercises will assist you in learning how to manage data, design data pipelines, and automate tasks, which is crucial for a data engineer. If you are planning to be a data engineer, this course may be useful to help learn core Python programming skills.
See salaries and explore the career path for Data Engineer
Computational Linguist
Computational linguists work on the intersection of computer science and language, and Python is a useful language for natural language processing. This course may be helpful in building a foundation in Python programming that is especially useful when dealing with language data. The course’s emphasis on variables, control flow, loops, functions, and data structures are crucial skills for the field. The course can help a computational linguist in learning how to write complex scripts that are useful in processing and analyzing language.
See salaries and explore the career path for Computational Linguist
Quality Assurance Engineer
Quality assurance engineers focus on testing software to find bugs and ensure that software meets quality standards. This course helps build a foundation in Python, which is often used to write test scripts and automate testing processes. The course’s modules on data types, control structures, and functions are useful for writing automated tests. This course may assist the quality assurance engineer, especially in improving the quality of products and in the automation of tasks.
See salaries and explore the career path for Quality Assurance Engineer
Game Developer
Game developers are responsible for creating video games, and this course may be helpful as Python is often used for game scripting and prototyping. This course can help you learn core concepts like variables, control flow, loops, functions, and basic object oriented programming, which are important in game script writing. The course provides practical exercises that can help build basic skills in Python, which is a very useful scripting language for many game engines. Using Python, a game developer can effectively prototype games, and this course will help you learn the basics.
See salaries and explore the career path for Game Developer
Research Scientist
Research scientists conduct research in various fields. This course may be useful for research scientists who work with data or need to automate tasks. Python is often used in scientific computing and data analysis, and this course will help you build a foundation in Python programming. Here, the course covers core concepts like variables, control flow, loops, functions, and data structures. If a research scientist needs to process data or automate tasks, the ability to write complex programs in Python is very useful and this course will help you build that foundation.
See salaries and explore the career path for Research Scientist
Financial Analyst
Financial analysts analyze financial data to provide insights and recommendations. While not a core skill, Python is increasingly used for financial modeling and data analysis. This course may be helpful as it provides a basic understanding of Python programming, covering control structures, functions, and fundamental data structures that are relevant for processing financial data. If you hope to pursue more technical aspects of financial analysis or if you plan to develop automated solutions, this course may be a good starting point.
See salaries and explore the career path for Financial Analyst

Reading list

We've selected one 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 Programmers.
Cover image
Python Crash Course, 3rd Edition
Save
Python Crash Course fast-paced, thorough introduction to Python that will have you writing programs, solving problems, and making things that work in no time. In the first half of the book, you'll learn about basic programming concepts, such as lists, dictionaries, classes, and loops, and practice writing clean and readable code with exercises for each topic. You'll also learn how to make your programs interactive and how to test your code safely before adding it to a project. is commonly used as a textbook at academic institutions.
Python Crash Course, 3rd Edition: A Hands-On,...
Paperback
$$
Python Crash Course, 3rd Edition: A Hands-On,...
Kindle Edition
$$
Python Crash Course, 3rd Edition: A Hands-On,...
Spiral-bound
$$$
Python Crash Course, 3rd Edition: A Hands-On,...
Hardcover
$$$

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Rating
4.5 Filled star Filled star Filled star Filled star Half star
Effort
6 total hours
Via
Udemy
Instructor
Nick Walter
Language
English
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Uses in-browser programming exercises, ensuring learners actively apply concepts as they progress, reinforcing their understanding through practical application
Covers setting up Python on both Mac and Windows, which is helpful for those new to the language regardless of their operating system
Explores object-oriented programming, a core paradigm that is essential for building scalable and maintainable applications in Python
Includes exercises on topics like handling user input and working with data structures, which are fundamental for building interactive applications
Teaches the use of 'try-except' blocks for error handling, which is crucial for writing robust and reliable Python code in production environments
Focuses on Python 3, the current version of the language, ensuring that learners are using the most up-to-date tools and techniques
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