Sign Up to our social questions and Answers Engine to ask questions, answer people’s questions, and connect with other people.
Login to our social questions & Answers Engine to ask questions answer people’s questions & connect with other people.
Lost your password? Please enter your email address. You will receive a link and will create a new password via email.
Please briefly explain why you feel this question should be reported.
Please briefly explain why you feel this answer should be reported.
Please briefly explain why you feel this user should be reported.
We want to connect the people who have knowledge to the people who need it, to bring together people with different perspectives so they can understand each other better, and to empower everyone to share their knowledge.
Remove the elements from json data using PostgreSQL.
It can be done using remove_jsonb_object, taking jsonb_data and target_id as input parameters and it returns new jsonb data, but without target_id.
It can be done using
See lessremove_jsonb_object, takingjsonb_dataandtarget_idas input parameters and it returns new jsonb data, but without target_id.What would happen in CloudFront when a request is made to content that is NOT currently located at an Edge location?
You will get an Error “404 not found” . CloudFront passes contents directly from its source and store them in the edge location's cache.
You will get an Error “404 not found” .
CloudFront passes contents directly from its source and store them in the edge location’s cache.
See lessHow to merge two excel sheets in pandas?
You can read the excel files using : purchase = pd. read_excel('purchase.xlsx') items =pd.read_excel("items.xlsx") price = pd.read_excel("price.xlsx") Then combine using the join operation in data frames import pandas as pd purchase = pd. read_excel('purchase.xlsx') items =pd.read_excel("items.xlsx"Read more
You can read the excel files using :
purchase = pd. read_excel('purchase.xlsx') items =pd.read_excel("items.xlsx") price = pd.read_excel("price.xlsx")Then combine using the join operation in data frames
import pandas as pd purchase = pd. read_excel('purchase.xlsx') items =pd.read_excel("items.xlsx") price = pd.read_excel("price.xlsx") result = pd.merge(purchase,price[["Items_name","Purchase_id","Price_amount",'item_id']],on='Purchase_detail', how='left') result.head()See lessWhat is the difference between array and ndarray in NumPy?
numpy.array is just a convenience function to create an ndarray If you want to create an array from ndarray class you can do it in 2 two ways. Using array() Using ndarray() class directly
numpy.arrayis just a convenience function to create anndarrayIf you want to create an array from
ndarrayclass you can do it in 2 two ways.array()ndarray()class directly
See lessDoes anyone know what type of information is getting stored in PVCs on Harbor?
I will try to list all of them because Harbor uses many PVCs and you weren’t clear about which ones. It has a database of everything you see on UI and job logs. Cache data. Vulnerability data. Container images are not stored in the database. Job logs, GC, vulnerability scanners, etc.
I will try to list all of them because Harbor uses many PVCs and you weren’t clear about which ones.
It has a database of everything you see on UI and job logs.
Cache data.
Vulnerability data.
Container images are not stored in the database.
Job logs, GC, vulnerability scanners, etc.
See lessGetting ERROR: relation "user" does not exist in PostgreSQL
The word user is a reserved word in PostgreSQL. Try changing the table name or wrap it with double quotes.
The word user is a reserved word in PostgreSQL. Try changing the table name or wrap it with double quotes.
See lessWhat are the advantages of devops automation services?
Efficient utilization of resources Collaboration Quality Agility Scalability
See less