1.

How will you access the dataset of a publicly shared spreadsheet in CSV format stored in Google Drive?

Answer»

We can use the StringIO module from the io module to read from the Google Drive link and then we can use the PANDAS library using the obtained data source.

from io import StringIOimport pandascsv_link = "https://docs.google.com/spreadsheets/d/..."data_source = StringIO.StringIO(requests.get(csv_link).content))dataframe = pd.read_csv(data_source)print(dataframe.head())Conclusion:

In this article, we have seen commonly asked interview questions for a python developer. These questions along with regular problem practice sessions will help you crack any python BASED interviews. Over the years, python has gained a lot of POPULARITY amongst the developer’s community due to its simplicity and ABILITY to support powerful computations. Due to this, the demand for good python developers is ever-growing. Nevertheless, to mention, the perks of being a python developer are really good. Along with theoretical knowledge in python, there is an emphasis on the ability to write good quality code as well. So, keep learning and keep practicing problems and without a doubt, you can crack any interviews.

Important Resources:

  • Python BASIC Programs
  • Python MCQ
  • Python Commands
  • Python Developer Resume
  • Python Projects
  • Difference Between Python 2 and 3
  • Python Frameworks
  • Python Documentation
  • Numpy Tutorial
  • Python Vs R
  • Python Vs Javascript
  • Difference Between C and Python
  • Python Vs Java
  • Features of Python
  • Golang vs Python
  • Python Developer Skills


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