#13 : Python Basics: How to Use Functions in Python?? || Default Arguments, Parameters, and More
Welcome to another episode of Basics of Programming using Python for Data Science by datahat!
In this week's video, we dive into the fundamental topic of using functions in Python. Whether you're new to programming or looking to refresh your knowledge, this video is for you.
Key Points:
*Get familiar with the basic syntax of functions in Python, including the def keyword
Understand the importance of functions in Python programming
Learn about default arguments, allowing you to set predefined values for function parameters.
Discover the difference between parameters and arguments and how they work together in function calls.
Explore the concept of passing a function as an argument to another function, a powerful technique in Python.
By the end of this video, you'll have a solid understanding of how to create and use functions in Python, including handling default and non-default arguments, distinguishing between parameters and arguments, and leveraging the flexibility of function composition.
Stay tuned for more exciting Python tutorials for Data Science every week, only on datahat. Don't forget to like, share, and subscribe to our channel for regular programming updates. Happy coding!
#PythonBasics #DataScience #ProgrammingTutorial
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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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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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"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
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Here are few interesting reads on our blog: / souravagarwal54321
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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"