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In this module, we will dive into the fundamentals of Python, covering its significance, comparisons with other languages, and its real-world applications. You鈥檒l also learn how to set up and practice Python in the most accessible environments.

In this module, we will focus on Python's basic data types, including strings, integers, floats, and Booleans. Through hands-on demonstrations and exercises, you鈥檒l gain proficiency in using these foundational elements to build more complex programs

In this module, we will introduce Python's built-in functions, exploring their role and ways to access them. You鈥檒l learn to effectively use these functions to perform various tasks and solidify your knowledge through exercises.

In this module, we will cover variables and functions, their syntax, and how to store, manipulate, and evaluate data effectively. Additionally, you鈥檒l learn best practices for commenting and refining your code while completing practical exercises.

In this module, we will examine the nature of Python errors and debugging strategies. From understanding stack traces to using try-except blocks, you鈥檒l acquire the tools to troubleshoot effectively and build resilient programs.

In this module, we will explore Python keywords, their importance, and their usage in various contexts. Through focused examples and exercises, you鈥檒l gain a deeper understanding of these building blocks in Python programming.

In this module, we will delve into conditional logic with if-else statements. You鈥檒l learn how to write basic to advanced logic structures, evaluate values, and practice your skills through targeted exercises.

In this module, we will cover advanced data storage techniques using lists and dictionaries. You鈥檒l explore looping methods to manage complex data structures efficiently and practice these skills through exercises.

In this module, we will introduce Python modules and their role in extending functionality. You鈥檒l learn how to leverage built-in modules and import external ones to streamline and enhance your projects.

In this module, we will guide you through the installation of Python on various platforms, including Mac, Windows, and IDEs. You鈥檒l also learn to manage files, run scripts, and utilize pip to install packages for your projects.

In this module, we will work on a practical project to automate data updates in spreadsheets. You鈥檒l apply your Python knowledge to manipulate Excel and CSV files, validate and transform data, and optimize your script for reliability.

In this module, we will summarize the course content and outline the future opportunities for expanding your Python skills. You鈥檒l gain insights into advanced topics and practical applications to continue your learning journey.