Packt

Python Programming Foundations

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Packt

Python Programming Foundations

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Master Python’s syntax and basic functionality to write simple programs.

  • Build control flow structures using loops and conditionals to solve problems.

  • Develop reusable code by creating functions and handling variable scopes.

  • Work with data structures like lists and apply Python’s powerful slicing techniques.

Details to know

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Recently updated!

April 2026

Assessments

10 assignments

Taught in English

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Build your subject-matter expertise

This course is part of the The Complete Python and Data Science Bootcamp Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 9 modules in this course

In this module, we will introduce the course structure and provide an overview of the key concepts covered in Python Programming Foundations. You will learn what to expect from this course and the exciting journey ahead as you explore Python and its applications in data science.

What's included

1 video2 readings

In this module, we will dive into Python’s foundational concepts. You'll explore its basic syntax, program structure, data types, and operations, laying the groundwork for more advanced topics. We will also cover how to use Python interactively and set up your development environment with PyCharm.

What's included

17 videos1 assignment

In this module, we will introduce the concept of control flow and how Python uses conditionals for decision-making. You will learn to write if statements, use logical operators, and create complex and nested conditions to manage program behavior.

What's included

4 videos1 assignment

In this module, we will focus on loops, a crucial concept for automating repetitive tasks in Python. You will learn how to implement for and while loops, break out of loops, and use the range() function to handle sequences effectively.

What's included

11 videos1 assignment

In this module, we will explore Python’s Turtle Graphics to create visual outputs and artistic drawings. You will work on a capstone project that allows you to apply your Python skills creatively while reinforcing key programming concepts.

What's included

6 videos1 assignment

In this module, we will explore the power of functions in Python. You will learn to create reusable code by defining functions, pass parameters, and explore function scope and annotations for better code management and readability.

What's included

13 videos1 assignment

In this module, we will dive deep into Python lists, a fundamental data structure. You will learn how to work with lists, access and manipulate data, and use powerful list methods and comprehensions to streamline your code.

What's included

8 videos1 assignment

In this module, we will engage with a series of hands-on exercises to solidify your understanding of functions, loops, and lists. These challenges will allow you to apply your knowledge and develop practical coding skills through real-world problems.

What's included

17 videos1 assignment

In this module, we will explore the critical concepts of equality and identity in Python, including the impact of aliasing and copying objects. You'll also learn how to compare values and perform advanced sorting techniques.

What's included

10 videos1 reading3 assignments

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