For web developer

The following libraries are written to facilitate the daily import and export of excel data.

framework	plugin/middleware/extension
Flask	Flask-Excel
Django	django-excel
Pyramid	pyramid-excel

And you may make your own by using pyexcel-webio

Read any supported excel and respond its content in json

You can find a real world example in examples/memoryfile/ directory: pyexcel_server.py. Here is the example snippet

def upload():
    if request.method == 'POST' and 'excel' in request.files:
        # handle file upload
        filename = request.files['excel'].filename
        extension = filename.split(".")[-1]
        # Obtain the file extension and content
        # pass a tuple instead of a file name
        content = request.files['excel'].read()
        if sys.version_info[0] > 2:
            # in order to support python 3
            # have to decode bytes to str
            content = content.decode('utf-8')
        sheet = pe.get_sheet(file_type=extension, file_content=content)
        # then use it as usual
        sheet.name_columns_by_row(0)
        # respond with a json
        return jsonify({"result": sheet.dict})
    return render_template('upload.html')

request.files[‘excel’] in line 4 holds the file object. line 5 finds out the file extension. line 13 obtains a sheet instance. line 15 uses the first row as data header. line 17 sends the json representation of the excel file back to client browser.

Write to memory and respond to download

data = [
    [...],
    ...
]

@app.route('/download')
def download():
    sheet = pe.Sheet(data)
    output = make_response(sheet.csv)
    output.headers["Content-Disposition"] = "attachment; filename=export.csv"
    output.headers["Content-type"] = "text/csv"
    return output

make_response is a Flask utility to make a memory content as http response.

Note

You can find the corresponding source code at examples/memoryfile