File Processing with Python

File Processing with Python, available at $39.99, has an average rating of 4.75, with 10 lectures, based on 165 reviews, and has 26039 subscribers.

You will learn about How to use Python to access data stored in a variety of common formats. How to read and write comma-separated value (CSV) files using both the Python Standard Library and pandas. How to read and write JavaScript Object Notation (JSON) files using the Python Standard Library. How to process JSON data received from an API. This course is ideal for individuals who are Python developers who want to learn how to access data from a range of file types. It is particularly useful for Python developers who want to learn how to access data from a range of file types.

Enroll now: File Processing with Python

Summary

Title: File Processing with Python

Price: $39.99

Average Rating: 4.75

Number of Lectures: 10

Number of Published Lectures: 10

Number of Curriculum Items: 10

Number of Published Curriculum Objects: 10

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

How to use Python to access data stored in a variety of common formats.
How to read and write comma-separated value (CSV) files using both the Python Standard Library and pandas.
How to read and write JavaScript Object Notation (JSON) files using the Python Standard Library.
How to process JSON data received from an API.

Who Should Attend

Python developers who want to learn how to access data from a range of file types.

Target Audiences

Python developers who want to learn how to access data from a range of file types.

Python is a widely used, general-purpose, high-level programming language. Its design philosophy emphasizes code readability, and its syntax allows programmers to express concepts in fewer lines of code than would be possible in languages such as C++ or Java. The language provides constructs intended to enable clear programs on both a small and large scale.

This course makes it very easy to read popular file formats with Python. They include comma separated value (csv) files, excel files (xls, xlsx) and json data. If you want to take your Python skills to the next level, you should know how to work with various file formats.

It uses a step-by-step approach to teach these concepts. The course includes source code so you can try it on your own. It uses both the Python standard library as well as the Pandas module. As with many things in programming, there is more than one way to do it.

If you have just learned the basics of Python or OOP, this course is for you. You most likely will work with Excel and other file formats at some point. Especially because these formats are popular not only in office environment but also in web-apps and other type of applications.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Read CSV

Lecture 3: Write CSV

Lecture 4: Read CSV with Pandas

Lecture 5: Write CSV with Pandas

Lecture 6: Read CSV as dictionary

Lecture 7: Read Excel

Lecture 8: Write Excel

Lecture 9: Read and write JSON

Lecture 10: Read JSON from URI

Instructors

Frank Anemaet
Supercharge Your Career

Rating Distribution

1 stars: 2 votes
2 stars: 4 votes
3 stars: 29 votes
4 stars: 61 votes
5 stars: 69 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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