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![Harshit Tyagi](https://ph-avatars.imgix.net/1468283/original.jpeg?auto=compress&codec=mozjpeg&cs=strip&auto=format&w=48&h=48&fit=crop&frame=1)
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 Science](https://ph-files.imgix.net/5d2dd432-f889-45be-a5b4-aaebc020a18f.jpeg?auto=compress&codec=mozjpeg&cs=strip&auto=format&w=48&h=48&fit=crop&frame=1)
Python fundamentals for Data Science
Python for Data Science
![Harshit Tyagi](https://ph-avatars.imgix.net/1468283/original.jpeg?auto=compress&codec=mozjpeg&cs=strip&auto=format&w=48&h=48&fit=crop&frame=1)
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 Science](https://ph-files.imgix.net/ca1d3818-76fb-4c1f-8eb2-3d76243eaa86.jpeg?auto=compress&codec=mozjpeg&cs=strip&auto=format&w=48&h=48&fit=crop&frame=1)
Guide to learning Data Science
Path to Learning Data Science
![Harshit Tyagi](https://ph-avatars.imgix.net/1468283/original.jpeg?auto=compress&codec=mozjpeg&cs=strip&auto=format&w=48&h=48&fit=crop&frame=1)
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?](https://ph-files.imgix.net/ccba6863-ab34-4765-bc1e-64270db917dc.jpeg?auto=compress&codec=mozjpeg&cs=strip&auto=format&w=48&h=48&fit=crop&frame=1)
How to find a job you are good at?
Learn the 5-part rule to add more value to your job
![Harshit Tyagi](https://ph-avatars.imgix.net/1468283/original.jpeg?auto=compress&codec=mozjpeg&cs=strip&auto=format&w=48&h=48&fit=crop&frame=1)
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 Coding](https://ph-files.imgix.net/ee156b35-bc08-46f8-91fb-0fe2145a6301.png?auto=compress&codec=mozjpeg&cs=strip&auto=format&w=48&h=48&fit=crop&frame=1)
Build Data pipelines with no Coding
An intelligent & intuitive way to explore with Dataprep.