- Hands-On Data Science with Anaconda
- Dr. Yuxing Yan James Yan
- 226字
- 2021-06-25 21:08:47
Review questions and exercises
- What is Anaconda? How do we use its platform?
- What is the home page for Anaconda?
- How do we install Anaconda?
- After Anaconda is installed, should we install Python separately? What about R?
- What is Jupyter? How do we launch it?
- How do we launch Python from Jupyter?
- How do we use Python via Jupyter?
- What is Spyder and how do we launch it?
- Write a Python program to estimate the present value of the annuity, as shown in the following formula:

pv(annuity) is the present value of the annuity, C is the periodic payment, R is the discount rate, and n is the number of periods.
- Find out how many packages are available after you have installed Anaconda. (Hint: check the link at https://docs.anaconda.com/anaconda/packages/pkg-docs.)
- What are the advantages and disadvantages of using https://jupyter.org/try?
- Where can new users find more information about Anaconda?
- What is the Julia programming language?
- How do we install Julia and how do we call Julia from Jupyter?
- How do we install Octave and link it to Jupyter?
- How do we find help for Jupyter?
- Where can we find lots of open data?
- For Python and R, calculate the value of 23 (2 raised to a power of 3).
- How do we launch R independently?
- How do we use Spyder to load a Python program and run it?
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