Intro to Python: Setup and Data Processing

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Intro to Python: Setup and Data Processing

This course is part of Introduction to Programming with Python Specialization

Instructor: Bill Rosenthal

Included with

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4 modules

Gain insight into a topic and learn the fundamentals.

7 hours to complete

Flexible schedule

Learn at your own pace

4 modules

Gain insight into a topic and learn the fundamentals.

7 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Configure a Python development environment and run standalone scripts utilizing standard input, output, and command-line arguments.
Process integers, floats, and strings using f-strings, format precision rules, math operators, and escape codes while avoiding common logic errors.
Manipulate sequences, lists, tuples, dictionaries, and sets using indexing, slicing, and specialized operations to manage complex datasets.
Learn by doing. Perform guided, step-by-step hands-on activities on your own computer.

Skills you'll gain

Tools you'll learn

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This course is part of the Introduction to Programming with Python 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 4 modules in this course

This course will be useful to anyone new to programming. You will learn how to set up a Python development environment and develop a simple application. You will also perform operations on simple data types like strings and numbers, as well as on more data structures like lists, ranges, tuples, dictionaries, and sets.

Before you start developing programming projects in Python®, you must set up a computer with the tools you need. Once you have done so, you can create a new programming project, and start writing and testing your code.

What's included

1 reading7 plugins

In any programming language, knowing how to work with data types is essential. Not all data types are the same, and being able to recognize what you can and can't do with each will help you make the most of your Python® code.

What's included

4 plugins

You've processed simple data types, but Python® also supports more complex data structures. These data structures make almost any application, no matter how large and complex, much more powerful and easy to write.

What's included

4 plugins

You'll wrap things up and then validate what you've learned in this course by taking an assessment.

What's included

1 reading1 assignment

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

Bill Rosenthal

Logical Operations

158 Courses38,238 learners

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