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This the first part of the 3-part python fundamentals series.
We have covered :
* I/O function and indentation
* Variable and their data types
* Operations on different data types
* String formatting and Operators
* Basic Operators
* Basics of Python Lists
Python fundamentals for Data SciencePython for Data Science
My design of the Data Science curriculum can be broken down into 4 branches and I will be covering all these branches along with Podcasts and tips & tricks on job applications, interviews, etc.
Guide to learning Data SciencePath to Learning Data Science
Learn the 5-part rule to add more value to your job. Understand if “follow your passion” the be-all and end-all advice to have a fulfilling career.
How to find a job you are good at?Learn the 5-part rule to add more value to your job
The blog talks about Building Data Pipelines Without a Single Line of Code. It introduces you to an intelligent and intuitive way of exploring data with Google Cloud Dataprep.
Build Data pipelines with no CodingAn intelligent & intuitive way to explore with Dataprep.