Python is the most versatile programming language till date and provides abundance of FREE and Open source packages for all your needs
PyPI is the package manager that enables you to install and utilize packages in your projects using pip
In this video we are going to learn how to build our own custom Python Packages and deploy it on the PyPI server
Additionally, towards the end of the video we shall see how to install our custom package and use it in our projects just like any other python package
Make sure to watch the video till the end and follow these 9 step-by-step process to build and deploy custom packages in Python
Refer to the Python Packaging guide here: https://packaging.python.org/en/lates...
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I write posts and organize polls on artificial intelligence as well as share my blogs on LinkedIn. See you there
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Why learn #datascience ??
"Data Science is the sexiest job of 21st century"
If you are a #btech student, #diploma in #computerscience, #graduate looking to #career #transition into #datascience , #machinelearning, #dataanalysis, this is a place for you
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Why learn from datahat??
"Datahat is a bridge"
learners --- professionals by simplified data science
It provides a platform to learn, create and collaborate helping in the #career #transition to data science, machine learning and data analysis
Understand the broad domain of data science and its related subdomains in machine learning, data analysis, data engineering in a self paced, #structured and #guided learning
Here are few interesting reads on our blog: / souravagarwal54321
Connect with us on linkedIn: / datahat-unfoldingmystery
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Additionally, here are few more 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 presenting the latest in machine learning and data science research and the code implementations [https://paperswithcode.com/]
3. google colab: a platform to run code, build machine learning solutions, explore the capabilities of GPU and TPU without any hassle in setting up the environment: [https://colab.research.google.com/]
Remember, "the greatest investment ever made is investment in self growth and learning"