#1 : Should you Learn PYTHON in 2023 ? || 5 Reasons to Learn Python in 2023

Опубликовано: 15 Март 2026
на канале: Datahat -- Simplified AI
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"** According to a recent survey by Forbes, Python is the most in-demand skill of 2022
** As per Github, Python saw a growth in popularity of 22.5%, year over year"

If you are interested in computer science, if you are a college student looking to master skills in programming, then in this video,

We are going to discuss,
Why to learn Python in 2023 ??

I am going to give you 5 reasons to Learn Python in 2023

If you have now decided to learn Python, put it down in the comments below

** Here are some additional resources for you to learn Python
-- Python docs: https://docs.python.org/3/tutorial/in...

-- Setting up Python: https://www.python.org/downloads/

-- Python Libraries for Data Science:    • Complete NUMPY for DATA SCIENCE || Numpy P...  

If you find the content USEFUL, make sure to give a THUMBS UP :)
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Why learn data science??

"Data Science is the sexiest job of 21st century"

If you are a #btech student, #diploma in #computerscience, #graduate looking to #career #tranisition into #datascience , #machinelearning, #dataanalysis, this is a place for you

Everyone of us use social media platforms such as instagram, facebook, or binge watch on OTT platforms such as #youtube , netflix, prime, hotstar or window shop on e-commerce sites such as amazon, flipkart, myntra

It certainly amazes us to see the products of our choice and interest being #recommended to us, our favorite shows being filtered among millions of others

However, not many get to understand how it works. Not to worry, we shall help you understand the concepts in a #simplified and #concise fashion, helping in career transition into machine learning or data science

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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"