JSON in Python || Python Tutorial || Learn Python Programming
- March 26, 2024
- Posted by: MainInstructor
- Category: JavaScript Python
Video Title: JSON in Python || Python Tutorial || Learn Python Programming
JSON. JavaScript Object Notation. It’s a small, lightweight, data format. A packet of JSON data is almost identical to a Python dictionary. It is shorter than XML, and can be quickly parsed by browsers since it uses JavaScript syntax. This makes
JSON an ideal format for transporting data between a client and a server. If your client is not a browser, don’t worry. Android and other mobile operating systems all come equipped with tools for parsing and working with JSON. Today, I
Will show you how to use Python’s JSON library to send and receive JSON data packets. We’ll have a ton of fun with JSON sent from my Rayguns. Pew Pew! Here is a typical JSON data packet. Notice how it looks just like a Python dictionary with
A few exceptions. True and false are not capitalized in JSON, while in Python they are. And instead of none you use JavaScript value null. This JSON object contains examples of all possible data types. All the keys are strings, but the
Values can be strings, numbers, booleans, a list, null, or even another JSON object. Now compare this with the XML version. The increased size of XML data is largely due to the end tags repeating the text of the opening tags. A popular sport is
Debating the merits of JSON versus XML. But instead of arguing, I recommend you learn the pros and cons of both formats, then choose the one which is best for your project. Let’s now learn how to use the JSON module in Python. First, let’s save the sample JSON data to a txt file.
Notice the Cinematographer’s name contains a non ASCII character. For this reason, we will save this text file using utf-8 encoding. Begin by importing the JSON module. Next, let’s look at the methods in this module. Today, we will focus on the load and dump methods.
The load method allows you to load JSON data from a file, while the load s method enables you to load JSON data from a string. That’s why there’s an S at the end of the method name: s for string. The dump method will
Write JSON data to a file, and the dump s method will output a string in proper JSON format. Let’s see some examples. First, we will load the JSON data from the file we created earlier. Using the open function, the first argument is the
Path to the file. For the second argument, let’s pass R, since we are only reading the data. Next, specify the encoding is utf-8, since this data contains non ASCII characters. Now that we have opened the file, we can load the JSON data using the
Load method. After loading the JSON data, close the file. If you display the object, you will see a dictionary containing all the data. If you look at the type, you will see it is, in fact, a dictionary. Also notice how the true/false and null
Values from the file were correctly parsed into Python true/false and none values. And the non ASCII character was correctly parsed. If you look up the 142 Unicode character, it is a lowercase L with the stroke. Because this is a
Dictionary, you can access the data by key. We can see the title, the list of actors, and so on. You use the load s function if your JSON data arrives in the form of a string. This is common in client-server applications where data is
Sent over the net. As an illustration, let’s create a string with a JSON formatted value. To parse this JSON data, call the load s function. Since all characters are ASCII, there is no need to worry about encoding. If you look at the
Result, we have a valid Python dictionary with all data properly converted. False is the Python boolean and null was converted to none. Suppose you want to store the data about Gattaca in a database, or send it to a remote user.
To convert this dictionary into a valid JSON string you use the dump s method When you call the method simply pass in the dictionary. The result is a string in proper JSON format. Notice that true and false are both lowercase, and none was
Converted to null. There is an unusual double stroke for the non ASCII character, however. This is because the JSON library assumes you want the output to be ASCII, and will escape all non-ASCII characters. To avoid this, and allow Unicode characters in your string, call
Dump s, and set ensure ASCII to false. The non ASCII character is now preserved and the backslash is not escaped. Let’s now create a new object, convert it to JSON, and write it to a file. we start by creating a dictionary. For this example,
We will use data for the movie Minority Report. Directed by Steven Spielberg, with a soundtrack by John Williams… this is a must-see movie for any Python programmer. The cinematographer is Janusz Kaminsky. The N in his last name has an accent
With a Unicode values of 144. To write this to a file in JSON format, we must first open a file in write mode with utf-8 encoding. Next call the dump method. The first argument is the dictionary. Now pass in the file.
Remember to set ensure ASCII to false, since our data contains non ASCII characters. Finally, close the file. If we open the file, we see all the data is there. Everything is properly formatted, and the Unicode characters are all accounted for Please wait for an incoming message from Socratica…
This JSON says Patreon helps Python to carry on… and since rhyming sentences are twice as likely to be true as ordinary ones, this message must be as good as gold… which is what we are asking for, if you have some to spare.
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JSON Newsted 🤘😎🤘
Excellent Video
amazing work
I love this channel so much.
The script, voice acting, explanations, examples, jesus the production quality… are INSANE. If this is how college courses were taught we'd be living in an different era.
<budget/> is only XML tag. I think XML format is not correct.
Excelent!
Thanks, Very helpful.
Gotta be the best AND most concise video on working with JSON in Python, couldn't help but subscribe
I love this video, explains JSON very well
"This JSON says Patreon will help Python to carry on"😂😂😂❤🔥. I just found a new rhyme ❤🔥😂😂😂
Creative idea of teaching
Thanks
I love this Indian cyborg
hi this Anil from India , first time i am here instantly connected to the video amazing..
I absolutely am grateful for these videos
Just found your channel and I know we are gonna have so much fun.
”Pew pew” hahaha!
10/10
Thanks angels 😍
Excelente, gracias
JSON sample:
{
"title": "Gattaca",
"release_year": 1997,
"is_awesome": true,
"won_oscar": false,
"actors": ["Ethan Hawke", "Uma Thurnman", "Alan Arkin", "Loren Dean"],
"budget": null,
"credits": {
"director": "Andrew Niccol",
"writer": "Andrew Niccol",
"composer": "Michael Nyman",
"cinematography": "Sławomir Idziak"
}
}
👍👍👍❤️ Great vedio
Thank you, really great tutorial on JSON
Great explanation, thank you. If you are a developer working with JSON then DeltaJSON is really useful, it has an API for compare, merge and graft.
Wow, I learned so much more than just the steps since explanations for 'why' were concisely given along with steps. Major thanks!!!!!
Thank you AI for this video.
Thanks!
Are you robot?
thank you.
abla sen acayip bişeysin ya… Dress, presentation, expressions, loved that!
Your layout and flow of speech were amazingly on point.
I have been watching your vids since i started college, I've graduated and have a good job and still watch them to refresh myself. You helped me a ton throughout the years, thank you so much.
♥️♥️♥️💖🌹
You saved my coursework, thank you so much!
OMG that was a wonderful production, educational, and pertinent to my goals.
THANKYOU
Now, How may I access the individual elements?
Now, How may I access nested elements?
Without that info, I can not meet my goals.
That JSON module has been very helpful. I keep running into web services that use it because JavaScript.
Definitely the best JSON-Python integration video to date. Straight to the point, easy to understand and downright hilarious, subbed!
Hi..mam…when you upload other python topics
Omg..pew pew..<3 u
Looks like an Artificial Intelligence from a scify movie is giving us a lecture 👌
thank you mam.
I didn't expect to learn anything on this one, as laugh as much as I did. WELL DONE again! I learned, I laughed, I rhymed, I'm a raft.
She is the non-rampant version of cortana.