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  1. EdX-Python-Basics-for-Data-Science/Final Exam at main - GitHub

    Consider the following line of code: with open (example1,"r") as file1: What mode is the file object in? -->read.

  2. IBM-PY0101EN-Python-Basics-for-Data-Science/Final Exam.md at ... - GitHub

    Question 1: What is the result of the following code segment: int(12.3) Question 2: What is the result of the following operation 3+2*2? Question 3: In Python, what is the result of the …

  3. FTiniNadhirah/Coursera-and-EdX-courses-answers - GitHub

    This is about learning courses in Coursera. The quiz and programming homework is belong to coursera and edx. All the answers given written by myself.

  4. IBM: Python Basics for Data Science - edX

    This Python course provides a beginner-friendly introduction to Python for Data Science. Practice through lab exercises, and you'll be ready to create your first Python scripts on your own!

  5. EdX: Python Basics for Data Science Part I Flashcards

    What's in Set1 that isn't in Set2? It is helpful to think of the ____ object as an ordered list. For now, let's look at the simplest case. If we would like to generate a sequence that contains …

  6. edx Courses - IBM PY0101EN - Python Basics for Data Science

    edx Courses - IBM PY0101EN - Python Basics for Data Science - PY0101EN-5-2-2-API_S2T.ipynb

  7. Anybody did the final exam for "Introduction to Python for Data Science ...

    Nov 17, 2018 · Hi, I just reached the final exam in this course, and have a question about it. If you did it, can you tell me if the challenges are based only on the videos of the courses, or if they …

  8. Check the type of values stored in a NumPy array. Returns evenly spaced numbers over a specified interval. A library of functions that make matplotlib behave similar to MATLAB. Get …

  9. FreeQuizzes/EdX-Python-Basics-for-Data-Science - GitHub

    IBM PY0101EN Python Basics for Data Science (All Module 'Review Questions' and 'Final Assignment' answers)

  10. HarvardX: Introduction to Data Science with Python | edX

    Using Python, learners will study regression models (Linear, Multilinear, and Polynomial) and classification models (kNN, Logistic), utilizing popular libraries such as sklearn, Pandas, …

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