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Python is one of the most popular and in-demand programming languages in the world — largely because of how readable and versatile it is. If you’re interested in learning Python, this free, introductory course will demonstrate how learning to code in Python could benefit your career. No previous programming experience is required.

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Python is one of the most popular and in-demand programming languages in the world — largely because of how readable and versatile it is. If you’re interested in learning Python, this free, introductory course will demonstrate how learning to code in Python could benefit your career. No previous programming experience is required.

From analyzing large datasets to building web applications, Python can be used for a variety of projects including:

- Writing scripts for automating tasks

-Web development

-Collecting data from websites (also known as “web scraping”)

-Scientific and numeric computing

-Data analysis

-Data visualization

-Machine learning

Python is also a useful skill applicable to roles across a wide range of industries, including:

-Energy

-Finance

-Healthcare

-Marketing

-IT

-Retail

This course is an introduction to our Boot Camps, which combine data analysis and machine learning to prepare learners for careers such as data analysts, financial analysts, data scientists, and more.

This Try It is offered in support of the Coding Boot Camp and Data Analytics Boot Camp with The University of Texas at Austin. If you enroll in this Try It, your learner data will not be shared with The University of Texas at Austin unless you enroll in the Coding Boot Camp or Data Analytcs Boot Camp.

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What's inside

Learning objectives

  • -what python is and where it’s used.
  • -functions, the bits of code that tell python what to do.
  • -how to create and name variables.
  • -how to build conditional logic to automate dual-alternative decision-making.
  • -how to use python for advanced decision making with nested if/else statements.
  • -how python interacts with a console.
  • -how to code simple programs and use conditional statements to automate decision-making.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Provides a strong foundation for beginners learning Python
Introduces Python's versatility and applicability across various industries
Covers essential Python concepts and programming fundamentals
Emphasizes practical skills through examples and hands-on exercises
Part of a series of bootcamps, offering a structured pathway for career advancement

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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 Try It: Intro to Python with these activities:
Review Python Basics: Refresher Course
Complete a refresher course that covers Python basics, including variables, data types, and syntax, to solidify your understanding before diving into the course.
Browse courses on Variables
Show steps
  • Identify a refresher course.
  • Go through the course material.
  • Complete the exercises and quizzes.
Read: Python Crash Course by Eric Matthes
Review a beginner-friendly book like Python Crash Course to reinforce your understanding of Python fundamentals and get a practical perspective.
Show steps
  • Acquire the book.
  • Read through the chapters related to Python basics.
  • Attempt the exercises and activities presented in the book.
Python Project: Coding a Dice Roller
Build a simple Python program to simulate rolling a die, solidifying your understanding of conditional logic and nested if/else statements.
Browse courses on Conditional Logic
Show steps
  • Define the dice sides and possible outcomes.
  • Create a function to generate a random number between 1 and 6.
  • Implement conditional logic to determine the outcome based on the random number.
  • Display the result of the dice roll.
Five other activities
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Coding Exercises: Python Practice Problems
Engage in coding exercises to reinforce your grasp of Python basics, including functions, variables, and data types.
Browse courses on Functions
Show steps
  • Solve coding problems related to creating and calling functions.
  • Practice declaring, initializing, and using variables.
  • Handle different data types in Python.
Follow Python Tutorials: DataCamp or Coursera
Supplement your course material with guided tutorials from platforms like DataCamp or Coursera to deepen your understanding of Python.
Browse courses on Python
Show steps
  • Identify a reputable tutorial platform.
  • Select a Python tutorial that aligns with your learning goals.
  • Follow the tutorial instructions and complete the exercises.
Python Study Group: Collaborative Learning
Engage with peers in a study group to discuss Python concepts, ask questions, and work through problems together, promoting active learning and collaborative understanding.
Browse courses on Python
Show steps
  • Find or organize a study group.
  • Schedule regular meetings.
  • Choose topics for discussion.
  • Participate actively in discussions and group activities.
Python Blog Post: Share Your Insights
Create a blog post or article that shares your learnings and insights about Python, deepening your understanding through explanation and reflection.
Browse courses on Python
Show steps
  • Brainstorm a topic related to Python that you're familiar with.
  • Research and gather information to support your topic.
  • Write a well-structured blog post.
  • Publish your blog post and share it with others.
Contribute to Open Source Python Projects
Get involved in open source Python projects to apply your skills, contribute to the community, and gain practical experience.
Browse courses on Python
Show steps
  • Identify open source Python projects that align with your interests.
  • Review the project's documentation and codebase.
  • Identify areas where you can contribute.
  • Submit your contributions to the project.

Career center

Learners who complete Try It: Intro to Python will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts use Python to analyze data and extract insights. This course provides a strong foundation in the basics of Python, including data analysis and visualization, which can be helpful for anyone looking to enter or advance in this field.
Software Developer
Python is a versatile programming language that's used by Software Developers to build a wide range of applications, from web development to data analysis. This course provides a strong foundation in the basics of Python, which can be helpful for anyone looking to enter or advance in this field.
Business Analyst
Business Analysts use Python to analyze data and make recommendations to improve business processes. This course provides a strong foundation in the basics of Python, including data analysis and visualization, which can be helpful for anyone looking to enter or advance in this field.
Data Scientist
Data Scientists use Python to analyze data and extract insights. This course provides a strong foundation in the basics of Python, including data analysis and visualization, which can be helpful for anyone looking to enter or advance in this field.
Web Developer
Web Developers use Python to build and maintain websites. This course provides a strong foundation in the basics of Python, including web development, which can be helpful for anyone looking to enter or advance in this field.
Product Manager
Product Managers use Python to analyze data and make decisions about product development. This course provides a strong foundation in the basics of Python, including data analysis and visualization, which can be helpful for anyone looking to enter or advance in this field.
Financial Analyst
Financial Analysts use Python to analyze financial data and make investment recommendations. This course provides a strong foundation in the basics of Python, including data analysis and visualization, which can be helpful for anyone looking to enter or advance in this field.
Machine Learning Engineer
Machine Learning Engineers use Python to build and deploy machine learning models. This course provides a strong foundation in the basics of Python, including machine learning, which can be helpful for anyone looking to enter or advance in this field.
Quality Assurance Analyst
Quality Assurance Analysts use Python to test software and ensure that it meets requirements. This course provides a strong foundation in the basics of Python, including testing and debugging, which can be helpful for anyone looking to enter or advance in this field.
IT Consultant
IT Consultants use Python to help businesses with their technology needs. This course provides a strong foundation in the basics of Python, including IT consulting, which can be helpful for anyone looking to enter or advance in this field.
Data Engineer
Data Engineers use Python to build and maintain data pipelines. This course provides a strong foundation in the basics of Python, including data engineering, which can be helpful for anyone looking to enter or advance in this field.
Technical Writer
Technical Writers use Python to create documentation for software and other technical products. This course provides a strong foundation in the basics of Python, including writing and editing, which can be helpful for anyone looking to enter or advance in this field.
Systems Analyst
Systems Analysts use Python to analyze and design computer systems. This course provides a strong foundation in the basics of Python, including systems analysis and design, which can be helpful for anyone looking to enter or advance in this field.
Project Manager
Project Managers use Python to automate tasks and manage projects. This course provides a strong foundation in the basics of Python, including scripting and automation, which can be helpful for anyone looking to enter or advance in this field.
User Experience Designer
User Experience Designers use Python to create prototypes and test user interfaces. This course provides a strong foundation in the basics of Python, including user experience design, which can be helpful for anyone looking to enter or advance in this field.

Reading list

We've selected ten 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 Try It: Intro to Python.
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 analysis. It valuable resource for both beginners and experienced programmers who want to learn more about Python.
Practical guide to using Python for automating tasks and solving real-world problems. It valuable resource for anyone who wants to learn how to use Python for practical purposes.
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 valuable resource for both beginners and experienced programmers who want to learn more about Python.
Comprehensive reference guide to the Python programming language. It valuable resource for experienced programmers who want to learn more about the intricacies of Python.
Guide to writing clear, concise, and effective Python code. It valuable resource for experienced programmers who want to improve their coding skills.
Collection of recipes for solving common problems in Python. It valuable resource for experienced programmers who want to learn how to use Python effectively.
Provides a comprehensive introduction to using Python for data analysis. It valuable resource for anyone who wants to learn how to use Python for data analysis and visualization.
Provides a comprehensive introduction to machine learning using Python. It valuable resource for anyone who wants to learn how to use Python for machine learning.

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