Python Tutorial: Working with JSON Data using the json Module

In this Python Programming Tutorial, we will be learning how to work with JSON data. We will learn how to load JSON into Python objects from strings and how to convert Python objects into JSON strings. We will also see how to load JSON from a file and save those Python objects back to files. Let's get started...

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#Python

[ibrahimal-mahfooz]

Your videos should be part of the official Python docs.

[nktslp]

You are the best python teacher ever. Every single time I go through documentation to learn something, I feel confused. Every single time I type on youtube my problem, one of your videos shows up and I understand everything completely. You are a wonderful teacher. Thank you for your time!

[augurelite]

Gives me hope for humanity that people like Corey post this kind of elite educational content FOR FREE. Makes me happy. Coding, specifically in python is SO useful and surprisingly learnable with a good teacher like Corey. This man has literally helped hundreds of thousands of people with each video and he should be extremely proud of his work.

[imtiazshahed]

The best thing we get from Corey's tutorial is an easy explanation with a real-world example. THANKS A TON.

[andrewbaillie]

This is exactly what I have been trying to do for over 2 weeks and couldn't work it out. A HUGE Thank you.

[sampadakhandekar]

Corey, thank you so much for all the amazing tutorials on Python! You not only explain the concepts but also give valid examples which make it easy to retain the concepts. I have definitely learnt a lot from them. Thanks again!

[haoyangrocks]

I also loved the practical example at the end of the tutorial. Thank you!

[monagulapa]

Corey, you are amazing! Thank you for your time and most of all, your being you, a person who has a good heart of sharing your knowledge. Your content shows your maturity in your field of expertise. More power to you!

[beem]

Pretty easy to follow. The best part is you've used real-world examples. Great tutorial!

[stephencedric]

Amazing. Seriously. Out of all of the Python tutorials ive watched this is by far the best.

[shobhamourya]

I tried the INR conversion and was surprised when you showed it :) You cover a lot and with clarity in short time - thanks Corey!

[husainshaikh]

You are the best....I've watched several tutorials of several topics, and I almost always had problems following them, with you it is different.

[phillipsparks]

Wonderful tutorial Corey. I was able to turn it into an Action Learning project because you could covered so much in just 20 minutes with practical examples that someone with no python and json experience (but experienced in parsing data) could use to start using json and python in real world automation project. Truly a rare find, in thank you.

[ericcartman]

I usually rarely comment on videos in YouTube, but you sir definitely deserve a lot more than just comments and likes. I'm truly happy to find your channel in YouTube. Just about 3 month I began learning programming and started with Python and with your videos I almost replace reading tons of pages of official docs. Bless you! Once I'll get my first salary I'll be back and show my respect in "patreon-way" too. But for now, you got my respect in words and my best wishes!

[shihabkhan]

Man, love the way Corey explains. His videos explain the fundamentals but with real practical demonstrations. Love you man <3

[LittleEngineCan]

Clear, easy-to-follow walk-through, with a practical API example. I'm pulling a bunch of financial data from 4 APIs and this video saved me at least 2+ hours! Great work, PayPal sent.

[JustinPresley]

Corey, thank you so much for this content. Some of the best I’ve found, you’re a great teacher. I’ll be donating through your patreon

[GabrielRodriguezInjectedFusion]

Been searching for a good tutorial online for JSON & Python and this hands down is the fastest and most understandable tutorial there is!

[ambarishkapil]

Hey Corey, thank you for making this video. I was doing some stuff with mysql and json files and was browsing through the web and nothing seemed to work, but your video really did the trick. I hope you keep making such clear and useful videos.

[hiankun]

I was trying to view some json files from image data set, which were large and all in one line. I had no idea how to format it to human-readable format, and tried some awkward approaches to rearrange the big files. Now I watch your tutorial and realize that "load and then dump with indent" is what I needed. Thank you so much.