Hello guy’s welcome back to my blog. Today in this blog post, I will tell you, How to read the json file in python 3.9.6 and print it in table format with pandas?
Guy’s in this post, I have used python 3.9.6 version.

Here is the working video for how to install pandas in python 3.9.6:
Guy’s if you are new in Python then please check below link for more Python tutorials:
Guy’s here is the working code snippet and please use it carefully:
1. Guy’s very first we need to installed python latest version and I have installed python 3.9.6 version. From below link please download the python latest version:
https://www.python.org/downloads/
2. Now guy’s create empty folder name `demo`(optional) in your system’s any drive and inside demo folder create `HelloWorld.py` and add below code inside it:
# Python program to read
# json file
import json
import pandas as pd #for install pandas in python please see above second video
# Opening JSON file
f = open('data.json',)
data = json.load(f)
df = pd.DataFrame(data)
#print json data in table format
print(df)
# Closing file
f.close()
3. Guy’s also in your project `demo` folder please create data.json file and add below code inside it:
[
{
"id": "1",
"name": "Harjas Malhotra",
"email": "harjas@gmail.com",
"job_title": "CEO&Founder",
"created_at": "2021-01-31 00:07:38",
"updated_at": "2021-01-31 00:07:38"
},
{
"id": "2",
"name": "Ajay Rich",
"email": "therichposts@gmail.com",
"job_title": "Full Stack Developer",
"created_at": "2021-01-29 11:36:14",
"updated_at": "2021-01-29 11:36:14"
}
]
4. Now guy’s inside your project terminal run below command and run your first python program:
py HelloWorld.py
This is it guy’s. Guy’s if you have any kind of query then please comment below. Guy’s I will come with more demos soon.
For better live working experience please check the above working video.
I will appreciate that if you will tell your views for this post. Nothing matters if your views will be good or bad because with your views, I will make my next posts more good and helpful.
Jassa
Thanks
