Download excel file python

Email Required, but never shown. The Overflow Blog. Podcast Who is building clouds for the independent developer? Exploding turkeys and how not to thaw your frozen bird: Top turkey questions Featured on Meta. Now live: A fully responsive profile. Reducing the weight of our footer. Linked Related Hot Network Questions. Question feed. Viewed 3k times. Any idea? Antonio Serrano Antonio Serrano 2 2 gold badges 10 10 silver badges 25 25 bronze badges.

I got a new error: "xlrd. DOC'" — Antonio Serrano. Hmmm, it seems complicated, because need autentification. In that case, any idea about how to specify my credentials?? Its going to depend on how coursera does things. Here is an example that may work using http.

The requests module may be sufficient requests. And there are coursera downloaders including a python module on pypi: coursera. Show 1 more comment. Asked 4 years, 5 months ago. Active 2 years, 7 months ago. Viewed 10k times. Thank you very much!

Sircam Sircam 79 1 1 gold badge 1 1 silver badge 12 12 bronze badges. Add a comment. Active Oldest Votes. Hope it helps somebody in the future as worked for me! Any improvement is more than welcome!!

Could you please post the full code that you used? I'm trying to do the same thing here with no luck. I get name 'RequestOptions' is not defined, not sure yet why, but if i find out i'll update here — Rob S.

With python Excel writer, we will Create excel sheets, write text, numbers and formula in cells. After modifying we will save workbook. We will also add and delete sheets in a an excel workbook, apply setting, fonts and styles, set width and height of cells and areas, merge and unmerge cells.

A common task for python and pandas is to automate the process of aggregatingdata from multiple files and spreadsheets. This article will walk through the basic flow required to parse multiple Excel files, combinethe data, clean it up and analyze it. Before, I get into the examples, here is a simple diagram showing the challenges withthe common process used in businesses all over the world to consolidate data from multipleExcel files, clean it up and perform some analysis.

Cutting and pasting data or writing painful VBA code will quickly get old. There has to be a better way! By using a python script, you can develop a more streamlined and repeatable solution toyour data processing needs. The rest of this article will show a simple example of howthis process works. I hope it will give you ideas of how to apply these tools to your unique situation. This gives us what we need.

You can use describe to look at it and make sure you data looks good. In this case, I see all the data rows I expect. It is not critical in this example but the best practice is to convertthe date column to a date time object. Now that we have all of the data into one DataFrame, we can do anymanipulations the DataFrame supports.