Python Fundamentals for Data Science
Learn the fundamentals of programming concepts using Jupiter Notebook. Access sub-strings, iterate strings, and explore string methods. This comprehensive course is designed for beginners interested in learning Python from scratch, especially those curious about data science. With a focus on core functionality and industrial requirements, you’ll gain valuable skills in a self-paced, online learning environment. Don’t give up if you get stuck – the course provides ample material to help you succeed. Start your Python journey today and enjoy the feeling of accomplishment as you complete each section.
What you’ll learn
- The student will cover the following fundamentals of programming concepts using Jupiter notebook.
- Addressing a string index
- Negative Index
- Access sub-strings
- Access start of sub-strings
- Access end of sub-strings
- Access sub-strings by step size
- Accessing sub-strings stepping backwards
- Iterate a string: for in statement
- Iterate by sub-string
- String Methods len()
- String Methods count()
- String Methods find()
- Creating Lists
- Accessing Lists by using Index
- Insert a new value for an index
- Appending to a list
- Insert Items into a list
- Delete a specific list index
- Empty list is false
- Delete a specific object from a list with .remove()
- Enumerate function etc
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Welcome to Fundamentals of Python. My name is Saima Aziz and I will be the instructor for this course.
Python is a general purpose and high level programming language. You can use Python for developing desktop GUI applications, websites and web applications. Python is a high level programming language. It allows you to focus on core functionality of the application by taking care of common programming tasks.
By taking this course, you have entered into an exciting world of self-paced, online learning! If online education is new to you, don’t worry!
I have carefully designed the content of the course to be comprehensive and fully compatible with industrial requirements and easy to understand.
Each section will generally have some video content, reading material, problem sets, and a set of assessment questions to test your knowledge.
We will use Jupiter Notebook where samples can be run, and where practice tasks and code quizzes can be completed.
I encourage you to take the course from beginning to end to get the full learning experience. Some sections may be very easy for you and others will be challenging, but each section should offer something of value. There’s nothing like that feeling of accomplishment when you complete something from beginning to end, so hang in there, and enjoy the course!
If you get stuck, don’t give up! There is enough material in the sections to help you solve the problems and your hard work will pay off.
Who this course is for:
- Beginners, who want to learn fundamentals of Python from Scratch, curios about data science
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