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Kyle Stewart-Franz,
Abe Feinberg,
and
Brynn Claypoole
Review fundamental Python programming syntax and concepts.
Register for this course and see more details by visiting:
OpenCourser.com/course/atcc8i/introduction
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What's inside
Syllabus
Welcome to Introduction to Python! Here's an overview of the course.
Familiarize yourself with the building blocks of Python! Learn about data types and operators, built-in functions, type conversion, whitespace, and style guidelines.
Read more
Syllabus
Welcome to Introduction to Python! Here's an overview of the course.
Familiarize yourself with the building blocks of Python! Learn about data types and operators, built-in functions, type conversion, whitespace, and style guidelines.
Read more
Use data structures to order and group different data types together! Learn about the types of data structures in Python, along with more useful built-in functions and operators.
Build logic into your code with control flow tools! Learn about conditional statements, repeating code with loops and useful built-in functions, and list comprehensions.
Learn how to use functions to improve and reuse your code! Learn about functions, variable scope, documentation, lambda expressions, iterators, and generators.
Set up your own programming environment to write and run Python scripts locally! Learn good scripting practices, interact with different inputs, and discover awesome tools.
Learn the basics of NumPy and how to use it to create and manipulate arrays.
Learn the basics of Pandas Series and DataFrames and how to use them to load and process data.
In this lesson we cover some advanced topics of iterators and generators. You are not required to complete this but we have provided these to give you a taste of these.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Provides a comprehensive overview of fundamental Python programming concepts
Taught by experienced instructors who are recognized for their work in Python
Covers essential data structures, logic tools, and control flow
Develops proficiency in using functions to improve and reuse code
Provides hands-on guidance on setting up a programming environment
Introduces the basics of NumPy for array manipulation and Pandas for data processing
Save this course
Save Introduction to Python Programming to your list so you can find it easily later:
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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 Introduction to Python Programming with these
activities:
Organize your notes and course materials
Show steps
Organize your notes and materials from the course to create a condensed and accessible knowledge base.
Browse courses on
Python
Show steps
-
Review your notes and highlight important concepts and examples.
-
Create a document or digital notebook to compile your organized notes.
Review Python syntax and basic concepts
Show steps
Review the fundamentals of Python syntax and concepts to strengthen your programming skills.
Browse courses on
Python
Show steps
-
Go through your Python notes or resources to refresh your memory on syntax.
-
Practice writing simple Python code snippets to recall basic concepts.
Review key concepts of Python data structures
Show steps
Revisit the key concepts of Python data structures to ensure a solid foundation for working with data.
Browse courses on
Python
Show steps
-
Review your Python notes or search online for summaries of data structures.
-
Try implementing simple data structures like lists, tuples, and dictionaries in Python.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Review Head First Python
Show steps
Review a book on Python to refresh your programming skills and prepare for writing your own Python scripts.
View
Head First Python: A Learner's Guide to the...
on Amazon
Show steps
-
Read the book once to get a feel for Python's features and syntax.
-
Review the chapters a second time to build a stronger understanding of the material.
-
Take notes on the Python syntax and features that you find most interesting or confusing.
Follow online tutorials on Python syntax and data structures
Show steps
Explore online tutorials to strengthen your Python knowledge through demonstrations and interactive exercises.
Browse courses on
Python
Show steps
-
Identify online tutorials that cover Python syntax and data structures.
-
Work through the tutorials, taking notes and experimenting with the code.
-
Complete the exercises provided in the tutorials to test your understanding.
Practice Python coding challenges on LeetCode
Show steps
Regularly work on coding challenges on LeetCode to enhance your problem-solving abilities and refine your Python skills.
Browse courses on
Python
Show steps
-
Register an account on LeetCode and explore the available coding challenges.
-
Select challenges that align with the Python topics covered in the course.
-
Set aside dedicated time each week to work on solving LeetCode challenges.
Build a simple Python script to automate a task
Show steps
Develop a practical Python script to automate a task, applying your programming skills to solve a real-world problem.
Browse courses on
Python
Show steps
-
Identify a task that you can automate using Python, such as sending emails or scraping data.
-
Design and implement a Python script to automate the task.
-
Test and refine your script to ensure its functionality and accuracy.
Mentor a junior Python developer
Show steps
Share your Python knowledge by mentoring a junior developer, reinforcing your understanding through teaching and guidance.
Browse courses on
Python
Show steps
-
Identify a junior Python developer who you can mentor.
-
Schedule regular mentoring sessions to provide guidance and support.
-
Review and provide feedback on the junior developer's code and projects.
Organize your notes and course materials
Show steps
Organize your notes and materials from the course to create a condensed and accessible knowledge base.
Browse courses on
Python
Show steps
Show steps
Show steps
- Review your notes and highlight important concepts and examples.
- Create a document or digital notebook to compile your organized notes.
Review Python syntax and basic concepts
Show steps
Review the fundamentals of Python syntax and concepts to strengthen your programming skills.
Browse courses on
Python
Show steps
Show steps
Show steps
- Go through your Python notes or resources to refresh your memory on syntax.
- Practice writing simple Python code snippets to recall basic concepts.
Review key concepts of Python data structures
Show steps
Revisit the key concepts of Python data structures to ensure a solid foundation for working with data.
Browse courses on
Python
Show steps
Show steps
Show steps
- Review your Python notes or search online for summaries of data structures.
- Try implementing simple data structures like lists, tuples, and dictionaries in Python.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Review Head First Python
Show steps
Review a book on Python to refresh your programming skills and prepare for writing your own Python scripts.
View
Head First Python: A Learner's Guide to the...
on Amazon
Show steps
Show steps
Show steps
- Read the book once to get a feel for Python's features and syntax.
- Review the chapters a second time to build a stronger understanding of the material.
- Take notes on the Python syntax and features that you find most interesting or confusing.
Follow online tutorials on Python syntax and data structures
Show steps
Explore online tutorials to strengthen your Python knowledge through demonstrations and interactive exercises.
Browse courses on
Python
Show steps
Show steps
Show steps
- Identify online tutorials that cover Python syntax and data structures.
- Work through the tutorials, taking notes and experimenting with the code.
- Complete the exercises provided in the tutorials to test your understanding.
Practice Python coding challenges on LeetCode
Show steps
Regularly work on coding challenges on LeetCode to enhance your problem-solving abilities and refine your Python skills.
Browse courses on
Python
Show steps
Show steps
Show steps
- Register an account on LeetCode and explore the available coding challenges.
- Select challenges that align with the Python topics covered in the course.
- Set aside dedicated time each week to work on solving LeetCode challenges.
Build a simple Python script to automate a task
Show steps
Develop a practical Python script to automate a task, applying your programming skills to solve a real-world problem.
Browse courses on
Python
Show steps
Show steps
Show steps
- Identify a task that you can automate using Python, such as sending emails or scraping data.
- Design and implement a Python script to automate the task.
- Test and refine your script to ensure its functionality and accuracy.
Mentor a junior Python developer
Show steps
Share your Python knowledge by mentoring a junior developer, reinforcing your understanding through teaching and guidance.
Browse courses on
Python
Show steps
Show steps
Show steps
- Identify a junior Python developer who you can mentor.
- Schedule regular mentoring sessions to provide guidance and support.
- Review and provide feedback on the junior developer's code and projects.
Career center
Learners who complete Introduction to Python Programming will develop knowledge and skills
that may be useful to these careers:
Software Engineer
Software Engineer
The first step to becoming a Software Engineer is learning a programming language. This course introduces you to the Python programming language, building a strong foundation for your future in tech and preparing you for popular interviews and technical assessments.
This course teaches you skills like conditionals, loops, functions, data structures, debugging, and writing your own Python scripts. These are foundational skills needed to pass coding assessments and progress as a Software Engineer.
Data Analyst
Data Analyst
A Data Analyst can use Python for data cleaning, data manipulation, and data visualization. This course introduces you to many of these skills, including using data structures, building functions, and understanding control flow. The course also teaches you about NumPy and Pandas, popular Python libraries for working with data.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers use Python for tasks like data preprocessing, feature engineering, model training, and model evaluation. This course may be helpful for this career path as it introduces you to data structures, functions, and control flow.
Data Scientist
Data Scientist
Data Scientists use Python for tasks similar to Data Analysts. They may also use Python for more advanced analysis and modeling. This course may be helpful for this career path as it introduces you to data structures, functions, and control flow.
Web Developer
Web Developer
Python is not typically used for front-end development. However, Python is a popular backend language. This course can help you build a foundation in Python, which can be helpful for a career in web development.
DevOps Engineer
DevOps Engineer
DevOps Engineers use Python for tasks like automating infrastructure, deploying applications, and monitoring systems. This course can help you build a foundation in Python, which can be helpful for a career in DevOps engineering.
Statistician
Statistician
Statisticians use Python for tasks like data analysis, model development, and inference. This course may be helpful for this career path as it introduces you to data structures, functions, and control flow. The course also teaches you about NumPy and Pandas, popular Python libraries for working with data.
Business Analyst
Business Analyst
Business Analysts use Python for tasks like data analysis, process improvement, and project management. This course may be helpful for this career path as it introduces you to data structures, functions, and control flow. The course also teaches you about NumPy and Pandas, popular Python libraries for working with data.
Financial Analyst
Financial Analyst
Financial Analysts use Python for tasks like data analysis, model development, and risk management. This course may be helpful for this career path as it introduces you to data structures, functions, and control flow. The course also teaches you about NumPy and Pandas, popular Python libraries for working with data.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use Python for tasks like data analysis, model development, and risk management. This course may be helpful for this career path as it introduces you to data structures, functions, and control flow. The course also teaches you about NumPy and Pandas, popular Python libraries for working with data.
Actuary
Actuary
Actuaries use Python for tasks like data analysis, model development, and risk management. This course may be helpful for this career path as it introduces you to data structures, functions, and control flow. The course also teaches you about NumPy and Pandas, popular Python libraries for working with data.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use Python for tasks like data analysis, model development, and optimization. This course may be helpful for this career path as it introduces you to data structures, functions, and control flow. The course also teaches you about NumPy and Pandas, popular Python libraries for working with data.
Data Engineer
Data Engineer
Data Engineers use Python for tasks like data integration, data transformation, and data warehousing. This course may be helpful for this career path as it introduces you to data structures, functions, and control flow. The course also teaches you about NumPy and Pandas, popular Python libraries for working with data.
Cloud Engineer
Cloud Engineer
Cloud Engineers use Python for tasks like infrastructure automation, deployment, and management. This course can help you build a foundation in Python, which can be helpful for a career in cloud engineering.
Software Tester
Software Tester
Software Testers use Python for tasks like test automation, performance testing, and security testing. This course can help you build a foundation in Python, which can be helpful for a career in software testing.
For more career information including salaries, visit:
OpenCourser.com/course/atcc8i/introduction
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
Introduction to Python Programming.
Save
Provides a comprehensive introduction to Python programming, covering the basics of the language as well as more advanced topics such as object-oriented programming and data structures. It good starting point for those who are new to Python or want to brush up on their skills.
Save
Fun and engaging introduction to Python programming. It uses a visual approach to teaching, with lots of diagrams and examples, and it covers a wide range of topics, from the basics of the language to more advanced concepts such as object-oriented programming and functional programming.
Save
Comprehensive guide to the advanced features of Python. It covers topics such as decorators, metaclasses, and generators, and it provides a deep understanding of how Python works under the hood. It valuable resource for experienced Python programmers who want to take their skills to the next level.
Comprehensive guide to using Python for data analysis. It covers the basics of data analysis, such as data cleaning and wrangling, as well as more advanced topics, such as machine learning and data visualization. It valuable resource for data analysts and scientists who want to use Python for their work.
Fast-paced introduction to Python programming. It covers the basics of the language in a concise and easy-to-understand way, and it includes a number of hands-on exercises to help you practice what you learn. It good choice for those who want to learn Python quickly and efficiently.
Practical guide to using Python for automation. It covers a wide range of topics, from web scraping to data analysis, and it provides a number of step-by-step tutorials to help you get started. It valuable resource for anyone who wants to use Python to automate tasks and save time.
Save
Free and open-source introduction to Python programming. It covers the basics of the language, and it includes a number of exercises to help you practice what you learn. It good choice for those who want to learn Python without spending any money.
Save
Collection of recipes for solving common Python programming problems. It covers a wide range of topics, from basic data types to advanced programming techniques, and it valuable resource for Python programmers of all levels.
Save
Free and open-source introduction to Python programming. It covers the basics of the language, and it includes a number of exercises to help you practice what you learn. It good choice for those who want to learn Python without spending any money.
This is the official documentation for the Python programming language. It comprehensive resource that covers everything from the basics of the language to advanced topics such as object-oriented programming and data structures. It valuable resource for Python programmers of all levels.
Save
Comprehensive reference guide to the Python programming language. It covers all of the core features of the language, as well as a number of advanced topics. It valuable resource for Python programmers of all levels.
Comprehensive guide to Python programming. It covers all of the core features of the language, as well as a number of advanced topics. It valuable resource for Python programmers of all levels.
Concise reference guide to the Python programming language. It covers all of the core features of the language, as well as a number of advanced topics. It valuable resource for Python programmers of all levels.
Save
Comprehensive reference guide to the Python programming language. It covers all of the core features of the language, as well as a number of advanced topics. It valuable resource for Python programmers of all levels.
Practical guide to using Python for real-world tasks. It covers a wide range of topics, from web development to data analysis, and it provides a number of step-by-step tutorials to help you get started. It valuable resource for anyone who wants to use Python to solve practical problems.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/atcc8i/introduction
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Time
970 hours
Level
Intermediate
Via
Udacity
Instructors
Kyle Stewart-Franz
Abe Feinberg
Brynn Claypoole
Language
English
Good to know
Provides a comprehensive overview of fundamental Python programming concepts
Taught by experienced instructors who are recognized for their work in Python
Covers essential data structures, logic tools, and control flow
Develops proficiency in using functions to improve and reuse code
Provides hands-on guidance on setting up a programming environment
Introduces the basics of NumPy for array manipulation and Pandas for data processing
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