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Scott Rixner and Joe Warren

This course will introduce you to the wonderful world of Python programming! We'll learn about the essential elements of programming and how to construct basic Python programs. We will cover expressions, variables, functions, logic, and conditionals, which are foundational concepts in computer programming. We will also teach you how to use Python modules, which enable you to benefit from the vast array of functionality that is already a part of the Python language. These concepts and skills will help you to begin to think like a computer programmer and to understand how to go about writing Python programs.

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This course will introduce you to the wonderful world of Python programming! We'll learn about the essential elements of programming and how to construct basic Python programs. We will cover expressions, variables, functions, logic, and conditionals, which are foundational concepts in computer programming. We will also teach you how to use Python modules, which enable you to benefit from the vast array of functionality that is already a part of the Python language. These concepts and skills will help you to begin to think like a computer programmer and to understand how to go about writing Python programs.

By the end of the course, you will be able to write short Python programs that are able to accomplish real, practical tasks. This course is the foundation for building expertise in Python programming. As the first course in a specialization, it provides the necessary building blocks for you to succeed at learning to write more complex Python programs.

This course uses Python 3. While many Python programs continue to use Python 2, Python 3 is the future of the Python programming language. This first course will use a Python 3 version of the CodeSkulptor development environment, which is specifically designed to help beginning programmers learn quickly. CodeSkulptor runs within any modern web browser and does not require you to install any software, allowing you to start writing and running small programs immediately. In the later courses in this specialization, we will help you to move to more sophisticated desktop development environments.

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What's inside

Syllabus

Python as a Calculator
This module will expose you to Python so that you can run your first simple programs. You will use Python to compute the results of arithmetic expressions, as you would when using a calculator.
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Functions
This module will teach you how to define and call functions. Functions allow you to write code once that you can execute repeatedly with different inputs.
Logic and Conditionals
This module will teach you how to use logic and conditionals to change the behavior of the program based upon values within the program.
Python Modules
This module will introduce you to the concept of modules. Python modules allow code to be divided up into different files and reused in different programs. Python provides many modules that you can use within your programs.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops the core fundamentals of programming concepts, syntax, with Python programming
Builds a strong conceptual foundation for writing complex Python programs
Leverages CodeSkulptor as an introduction to coding, allowing for easy accessibility and user-friendliness
Prepares learners for transitioning to more sophisticated desktop Python development environments
Might not provide enough hands-on projects or exercises for practical application
Assumes no prior programming knowledge, but some familiarity with basic computer operations might be beneficial

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Reviews summary

Python programming essentials

learners say this course is largely positive for Python beginners. It has engaging assignments that reinforce material and help learners apply key concepts like coding style and debugging. The course is well-structured, with clear explanations and a friendly, knowledgeable team of instructors. However, some learners note that the topics covered are largely basic, the final project can be challenging, and the grading tool is sometimes difficult to use.
Learners find the assignments to be helpful in reinforcing the material and applying key concepts.
"It has engaging assignments that reinforce material and help learners apply key concepts like coding style and debugging."
Overall, learners are largely positive about this course. They appreciate the clear explanations, engaging assignments, and knowledgeable instructors.
"learners say this course is largely positive for Python beginners"
"The course is well-structured, with clear explanations and a friendly, knowledgeable team of instructors"
Some learners have experienced difficulty with the grading tool.
"However, some learners note that ... the grading tool is sometimes difficult to use"
Learners report that the final project can be challenging.
"However, some learners note that ... the final project can be challenging"
Some learners feel that the topics covered are largely basic.
"However, some learners note that the topics covered are largely basic"

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 Programming Essentials with these activities:
Brush up on your programming logic
A strong foundation in programming logic will make it easier to understand and write Python programs.
Browse courses on Programming Logic
Show steps
  • Review the basics of programming logic
  • Try to solve some simple programming logic puzzles
Create a Python coding cheat sheet
A coding cheat sheet can be a valuable resource for quickly referencing Python syntax and common functions.
Show steps
  • Gather Python resources
  • Organize and summarize
Review basic algebra and trigonometry concepts
These mathematical concepts will be essential for a solid foundation in computer programming.
Browse courses on Algebra
Show steps
  • Review the basics of algebra
  • Review the basics of trigonometry
Three other activities
Expand to see all activities and additional details
Show all six activities
Work through the Python Tutorial
This official tutorial will provide a comprehensive overview of the Python language from the very basics to more advanced concepts.
Browse courses on Python Basics
Show steps
  • Complete the first few chapters of the Python Tutorial
  • Try out the examples and exercises provided in the tutorial
Join a Python study group
Joining a study group can provide you with support and motivation, and it can help you to learn from others.
Show steps
  • Find a Python study group
  • Attend the study group regularly
  • Participate in discussions and ask questions
Write a blog post about a Python project you've worked on
Writing a blog post about your Python project will help you to reflect on what you've learned and to share your knowledge with others.
Show steps
  • Choose a Python project that you're proud of
  • Write a blog post about your project, including the problem you were trying to solve, the approach you took, and the results you achieved
  • Share your blog post with others

Career center

Learners who complete Python Programming Essentials will develop knowledge and skills that may be useful to these careers:
Computer Programmer
A Computer Programmer writes and tests code that will be used in a variety of software applications. Computer Programmers work on both the front and back end of software, creating interfaces for users and writing the code that makes the software function. Those in this role are responsible for a variety of tasks, from analyzing user needs to designing and implementing algorithms. This course will help build a foundation in Python programming, which has become one of the most popular coding languages used today. As a Computer Programmer, it is essential to have a strong understanding of Python in order to keep up with the latest technologies.
Data Analyst
Data Analysts use data to identify trends and patterns that can be used to make better decisions. Their work plays a vital role in decision making for a wide range of organizations, including businesses, governments, and nonprofits. This course will help you develop a strong understanding of the Python programming language, which is essential for data analysis. Python is used for a variety of data analysis tasks, from data cleaning and preparation to data visualization and modeling.
Software Engineer
A Software Engineer designs, develops, and maintains software systems. They work on a variety of projects, from small personal apps to large enterprise systems. This course will help you develop a strong foundation in Python programming, which is one of the most popular programming languages used in software development today. Python is used for a variety of software development tasks, from web development to mobile app development.
Web Developer
A Web Developer designs and develops websites. They work on both the front end and back end of websites, creating user interfaces and writing the code that makes the website function. This course will help you develop a strong foundation in Python programming, which is one of the most popular programming languages used in web development today. Python is used for a variety of web development tasks, from web scraping to web application development.
Data Scientist
Data Scientists use data to solve problems and make predictions. They work on a variety of projects, from developing new products to improving existing ones. This course will help you develop a strong foundation in Python programming, which is one of the most popular programming languages used in data science today. Python is used for a variety of data science tasks, from data analysis to machine learning.
Machine Learning Engineer
Machine Learning Engineers design and develop machine learning models. They work on a variety of projects, from developing new products to improving existing ones. This course will help you develop a strong foundation in Python programming, which is one of the most popular programming languages used in machine learning today. Python is used for a variety of machine learning tasks, from data preprocessing to model training.
Business Analyst
Business Analysts help businesses to improve their performance. They work on a variety of projects, from developing new products to improving existing ones. This course will help you develop a strong foundation in Python programming, which is increasingly being used by Business Analysts to automate tasks and analyze data.
Financial Analyst
Financial Analysts help businesses to make sound financial decisions. They work on a variety of projects, from developing new products to improving existing ones. This course will help you develop a strong foundation in Python programming, which is increasingly being used by Financial Analysts to automate tasks and analyze data.
Operations Research Analyst
Operations Research Analysts use mathematical and analytical techniques to help businesses solve problems and make better decisions. They work on a variety of projects, from developing new products to improving existing ones. This course will help you develop a strong foundation in Python programming, which is increasingly being used by Operations Research Analysts to automate tasks and analyze data.
Actuary
Actuaries use mathematical and statistical techniques to assess risk and uncertainty. They work on a variety of projects, from developing new products to improving existing ones. This course will help you develop a strong foundation in Python programming, which is increasingly being used by Actuaries to automate tasks and analyze data.
Statistician
Statisticians use mathematical and statistical techniques to collect, analyze, and interpret data. They work on a variety of projects, from developing new products to improving existing ones. This course will help you develop a strong foundation in Python programming, which is increasingly being used by Statisticians to automate tasks and analyze data.
Data Engineer
Data Engineers design and develop data pipelines. They work on a variety of projects, from developing new products to improving existing ones. This course will help you develop a strong foundation in Python programming, which is one of the most popular programming languages used in data engineering today. Python is used for a variety of data engineering tasks, from data cleaning and preparation to data warehousing.
Database Administrator
Database Administrators manage and maintain databases. They work on a variety of projects, from developing new products to improving existing ones. This course will help you develop a strong foundation in Python programming, which is increasingly being used by Database Administrators to automate tasks and analyze data.
Systems Analyst
Systems Analysts analyze and design computer systems. They work on a variety of projects, from developing new products to improving existing ones. This course will help you develop a strong foundation in Python programming, which is increasingly being used by Systems Analysts to automate tasks and analyze data.
Security Analyst
Security Analysts design and implement security systems. They work on a variety of projects, from developing new products to improving existing ones. This course will help you develop a strong foundation in Python programming, which is increasingly being used by Security Analysts to automate tasks and analyze data.

Reading list

We've selected 15 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 Programming Essentials.
Provides a comprehensive introduction to Python programming, covering essential concepts such as expressions, variables, functions, and conditionals. It valuable resource for beginners, offering a solid foundation for understanding the fundamentals of Python.
Offers a practical approach to learning Python, focusing on hands-on projects and real-world applications. It provides a well-structured learning path for beginners, with clear explanations and engaging examples.
Presents Python programming in a visually appealing and engaging manner. It uses a unique visual and interactive approach to explain complex concepts, making it an excellent resource for beginners who prefer a non-traditional learning style.
Focuses on practical applications of Python, teaching readers how to automate tasks and solve real-world problems using Python scripts. It provides a hands-on approach to learning Python's practical capabilities.
Introduces Python programming with a focus on data analysis and exploration. It teaches readers how to work with data, perform visualizations, and gain insights from data using Python.
Delves deeper into Python's advanced features and best practices. It provides guidance on writing clear, concise, and effective Python code, making it a valuable resource for experienced Python programmers seeking to enhance their skills.
Is written with a focus on data science applications using Python. It covers essential data science concepts, such as data manipulation, statistical analysis, and machine learning, providing a comprehensive resource for Python programmers interested in data science.
Explores the object-oriented programming paradigm in Python. It provides a thorough understanding of classes, objects, and inheritance, enabling Python programmers to develop more complex and maintainable code.
Offers practical advice and best practices for writing effective and efficient Python code. It provides a concise guide to improving code quality and maintainability, making it valuable for Python programmers of all experience levels.
Serves as a comprehensive reference guide for Python. It covers a wide range of topics, from basic syntax to advanced features, providing a detailed overview of the Python language.
Provides a collection of practical recipes and solutions for common programming problems encountered in Python. It offers quick and easy-to-implement solutions, making it a useful reference for Python programmers facing specific coding challenges.
Serves as a gentle introduction to Python programming for absolute beginners. It provides step-by-step instructions and clear explanations, making it an accessible resource for those with no prior coding experience.
Offers a comprehensive introduction to Python programming, starting from the basics. It provides a thorough overview of essential Python concepts, making it a useful resource for beginners seeking a solid foundation.

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