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HOW TO LEARN PYTHON

Also See: https://pickl.ai/blog/how-to-learn-python-for-data-science-in-2023/

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HOW TO LEARN PYTHON

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  1. HOW TO LEARN PYTHON?

  2. In a world where Data Science is advancing rapidly, strategic decisions are most likely dependent on the use of efficient data. Business organizations understand the importance of Data Science in the current world. By 2026, it is predicted that the Indian Analytics industry would grow to a value of $119 billion creating more than 11 million jobs in Data Science. In the field of Data Science, where programming is an essential task, Python has become the most favored programming language for Data Scientists.

  3. Reasons to learn Python for Data Science: Python as the most popular and highly used programming language carved its way through by overtaking various other programming languages. It is preferred by most Data Scientists in the industry today. You need to learn Python for Data Science because of the following reasons: The highly efficient platform for competitions in Data Science, R on Kaggle was overtaken by Python in 2016 In 2017, it became the most used tools in the annual poll of R on KDNuggets In 2018, Python became the number one programming language used by over 66% of Data Scientists. Python became the most widely used and highly popular programming language in 2021, overrunning Java in the TIOBE Index. ● ● ● ●

  4. How to learn Python- Step 1: Learn the Basics of Python Step 2: Know about Python Libraries and their uses Step 3: Learn about the Basics of Statistics with Python Step 4: Learn about Accessing Database Step 5: Use Scikit to build your Machine Learning Model Step 6: Practice

  5. Tips for Beginners: Identify your interest area Learning Basic Syntax Practicing everyday Making Notes of your learning Apply for an online course Interact with Python Community Take part in Projects ● ● ● ● ● ● ●

  6. THANK YOU!!

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