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Python Programming Toolbox

Updated 03/2026
Build your knowledge of dates and times, regular expressions, and algorithms in Python!
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PythonProgramming13 hr3,780

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Track Description

Python Programming Toolbox

Level up your Python programming skills! This skill track will cover a variety of techniques and concepts used every day by software developers. Get started by working with dates and times of various formats, performing date calculations, and accounting for time zones! You'll progress into the text analysis, building up from string manipulation to the wonderful world of regular expressions, where you will write code match patterns in text. You'll conclude by discovering popular algorithms such as Depth First Search and Bubble Sort and examining how time and space complexity are used to measure algorithm efficiency.

Prerequisites

There are no prerequisites for this track

  • Course

    2

    Working with Dates and Times in Python

    Learn how to work with dates and times in Python.

  • Project

    bonus

    Interstellar Delivery: Mastering Datetime in Python

    Manipulate date and time using Python

Python Programming Toolbox
3 Courses
Track
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FAQs

Is this Track suitable for beginners?

Yes, this track is suitable for beginners as it starts out with foundational concepts and knowledge of data science related to Python. It gradually increases in complexity as learners progress through the skills track.

What is the programming language of this Track?

This Track is in Python, a versatile programming language with many applications in the data science field.

Which jobs will benefit from this Track?

This Track will help benefit a variety of data science related jobs such as data engineers, data analysts, and data scientists.

How will this Track prepare me for my career?

It will provide you with a foundational understanding of data science concepts, tools, and techniques in the Python programming language to help you gain an edge in your data science career.

How long does it take to complete this Track?

This track approximately takes 16 hours to complete.

What's the difference between a skill track and a career track?

A skill track focuses on upskilling users with data science domain-specific such as Python through curated courses. A career track helps learners gain the necessary skills to deploy and demonstrate their knowledge in their data science-related careers.

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