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I have company data stored in my windows desktop. I need to do data analysis for this csv. It's company data, so it's for private use. My Windows disk should already be encrypted. Anything else need to do before I use pd.read_csv('file.csv') to import the data to python for analysis?
Make sure to call import pandas as pd, and save your Python script in the same folder as file.csv.
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Let's say I have a dataset which contains lots of inputfilename and outputfilename. How should I go ahead if I want to make a machine learning model for this, so that I later on can inject a inputfilename and get a suggestion for outputfilename?
What libraries should I use? Any examples available?
Thanks!
I've tried googling but find no good comparable examples.
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I have a sample image of a graph that is extracted from an excel file using a win32 package of python.
The implementation of the above is solved in this question = extracting graphs as images from excel
Now, I want to read an image in python and write it to a doc file and save it. which ultimately gives me an output of somethig like this
You can use the add_picture()-method of the following library:
python-docx
This also gives you options for resizing and placement.
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I have one excel file with 20 sheets in python. for using leave one out technology I have to add all sheets to one sheet.
How can I use a loop in python for doing this.
I'll recommend you to use Python library, which is called Pandas for this task.
You may find nice guide how to do it here
Hope, it will be useful.
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Is there any known way to do realtime collaboration stuff (like Google Docs) in Python (not thru the browser)? I'm working on a program, and would like to add said feature to it.
Thanks
You can try Dweet, which is a service that stores JSON data in key values pairs. You can use one of the client libraries listed on their website or you could simply make a request like so:
urllib.urlopen('https://dweet.io/dweet/for/my-thing-name?dweet=awesome')
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I have a Python code that processes 1 million rows (3000 bytes) and loads into Oracle database..
The code does lot of edits on many fields before it loads into a database...The code is completely written in Python and it takes lot of processing time...
I want to know if we can speed up the process using Cython implementation...
If so, how can I convert my existing Python code to Cython...
What all the features supported in Cython and is it reliable to use?