You might try to convert the CSV to a HDF5 format. HDF5 is a data storage format that can store a variety of datatypes and is designed for flexible and efficient I/O and for high volume and complex data.

SHAHEEN MOHAMMED ALHIRMIZY : Have you already tested the performance of pandas csv read ? specifically have you tested the performance dataframe "read_csv" function? Please check this thread:

https://stackoverflow.com/questions/25508510/fastest-way-to-parse-large-csv-files-in-pandas

Thank YOU Manuel I will try and May GOD Bless you

but can I convert multi band satellite images(multi dimensions) to the same HDF5 in order to process them.

Dear Srivats shukla thank you for your answer .I will try Numpy loadtxt .

Thanks for your kind words Shaheen. Not sure if this link may be of interest to you.

http://machinelearninguru.com/deep_learning/data_preparation/hdf5/hdf5.html

Follow this links:

https://machinelearningmastery.com/how-to-load-data-in-python-with-scikit-learn/

https://machinelearningmastery.com/load-machine-learning-data-python/

https://www.kaggle.com/rajatshah/scikit-learn-ml-from-start-to-finish

https://github.com/justmarkham/pycon-2016-tutorial/blob/master/exercise_solution.py