In this video, we have provided a step-by-step approach to install and configure Python in Windows 11 for Python IDLE as well as VS Code
We have also provided the steps to follow for LINUX and Mac users
** The references
*Join our telegram channel for lecture notes: https://t.me/vVOxKAe7VPBiNGU1
* Download the Python installer here: https://www.python.org/downloads/
* Download the VS Code executable: https://code.visualstudio.com/
* Online Python compiler: https://www.programiz.com/python-programming/online-compiler/
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Why learn data science??
/"Data science is the sexiest job of the 21st century/"
If you are a #btech student, #computer science #graduate, #graduate looking for #career #transition to #data science, #machine learning, #data analytics, this is the place for you.
Every one of us uses social media platforms like Instagram, Facebook or binge watch on OTT platforms like #youtube, netflix, prime, hotstar or window shopping on e-commerce sites like amazon, flipkart , myntra.
It certainly amazes us to see products of our choice and interest being #recommended to us, with our favorite shows filtered among millions of others.
However, few people understand how it works. Don't worry, we will help you understand the concepts in a #simplified and #concise way, helping you in the career transition to machine learning or data science.
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Why learn from datahat??
/"Datahat is a bridge/"
learners — professionals through simplified data science
It provides a platform to learn, create and collaborate helping with career #transition to data science, machine learning and data analytics.
Understand the broad field of data science and its associated subfields in machine learning, data analytics, and data engineering in self-paced, #structured, and #guided learning
* Here are some interesting reads on our blog: https://medium.com/@souravagarwal54321
* Connect with us on linkedIn: https://www.linkedin.com/company/datahat-unfoldingmystery/
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Additionally, here are some additional useful resources for beginners and curious data enthusiasts.
1. kaggle: a platform to learn, practice, compete and win cash prizes [https://www.kaggle.com/]
2. paperswithcode: Website featuring the latest machine learning and data science research and code implementations [https://paperswithcode.com/]
3. google colab: a platform to run code, build machine learning solutions, explore GPU and TPU capabilities without any environment setup hassle: [https://colab.research.google.com /]
Remember that / “the greatest #investment ever made is the investment in personal growth and learning/”
Please take the opportunity to connect and share this video with your friends and family if you find it useful.
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