6 Essential Python Tools for Data Science - LinuxLinks
In Summary : Data science is an emerging, multidisciplinary field of scientific methods, processes, algorithm development and technology ...
https://updatesinfosec.blogspot.com/2018/05/6-essential-python-tools-for-data.html
In Summary :
Data science is an emerging, multidisciplinary field of scientific methods, processes, algorithm development and technology to extract knowledge or insights in ingenious ways from structured or unstructured data. At the heart of data science is data. Buckets loads of it, streaming in and stored in enterprise data warehouses. According to IBM, globally, we currently generate over 2.5 quintillion bytes of data every single day. This data ranges from molecular biology to social media activity, astronomy, climate monitoring to health care. Large data sets are now generated by almost every activity in science, society, and commerce. There’s much to learn by mining that data, finding patterns and making predictions from this data. Data science is ultimately about asking interesting questions, and then finding answers using data that add value. [...]
kindly refer the following link as follow up :
https://www.linuxlinks.com/6-essential-python-tools-for-data-science/
Data science is an emerging, multidisciplinary field of scientific methods, processes, algorithm development and technology to extract knowledge or insights in ingenious ways from structured or unstructured data. At the heart of data science is data. Buckets loads of it, streaming in and stored in enterprise data warehouses. According to IBM, globally, we currently generate over 2.5 quintillion bytes of data every single day. This data ranges from molecular biology to social media activity, astronomy, climate monitoring to health care. Large data sets are now generated by almost every activity in science, society, and commerce. There’s much to learn by mining that data, finding patterns and making predictions from this data. Data science is ultimately about asking interesting questions, and then finding answers using data that add value. [...]
kindly refer the following link as follow up :
https://www.linuxlinks.com/6-essential-python-tools-for-data-science/
