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Programming Applications with Python: Working with Files 

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Programming Applications with Python: Working with Files
 at 
FutureLearn 
Overview

Duration

4 weeks

Total fee

900

Mode of learning

Online

Official Website

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Credential

Certificate

Programming Applications with Python: Working with Files
 at 
FutureLearn 
Highlights

  • Duration 4 weeks
  • Weekly study 4 hours
  • 100% online Learn at your own pace
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Programming Applications with Python: Working with Files
 at 
FutureLearn 
Course details

More about this course
  • On this course, you'll start to develop the knowledge and skills needed to successfully launch a career in programming or software development, learning how to program applications using Python.
  • You'll study alongside industry experts at Github, giving you the confidence and competitive advantage to work in or manage development teams.
  • On this first course of the ExpertTrack, you'll examine best practice for reading and creating files and directories in Python.
  • You'll discover how to copy, move, rename, and archive existing files, as well as how Python is used for data analysis, including data collection, wrangling, and exploration.
  • You'll come away with the ability to perform key elements of data analysis using Python, and ready to tackle the second course in the series.
  • As the global importance of the online world increases, there is ever-growing demand for programmers with cutting-edge development skills, and especially programmers with training in Python.
  • Python is the most-popular programming language in the world, driving crucial web services such as Google, Dropbox, and Instagram, as well as many web applications and academic data analyses.
Read more

Programming Applications with Python: Working with Files
 at 
FutureLearn 
Curriculum

Reading and writing files in Python

Welcome to the course!

Reading and writing files

Working with directories

Wrap-up

Working with directories

Introduction

Working with directories

Wrap-up

Data analytics and data collection

Introduction

General framework and process for data analytics projects

Data collection

Wrap-up

Data wrangling and data exploration

Introduction

Data wrangling

Data exploration

Wrap-up

Graded course test

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Programming Applications with Python: Working with Files
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