wip - more dicts entries added

This commit is contained in:
SebastianoF 2019-11-17 23:12:04 +00:00
parent 64299a9773
commit e11713b302

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@ -18,58 +18,594 @@ import numpy as np
"""
""",
"q4": "4. How to find the memory size of any array (★☆☆)",
"h4": "hint: size, itemsize",
"a4":
"""
""",
"q5": "5. How to get the documentation of the numpy add function from the command line? (★☆☆)",
"h5": "hint: np.info",
"a5":
"""
""",
"q6": "6. Create a null vector of size 10 but the fifth value which is 1 (★☆☆)",
"h6": "hint: array[4]",
"a6":
"""
""",
"q7": "7. Create a vector with values ranging from 10 to 49 (★☆☆)",
"h7": "hint: arange",
"a7":
"""
""",
"q8": "8. Reverse a vector (first element becomes last) (★☆☆)",
"h8": "hint: array[::-1]",
"a8":
"""
""",
"q9": "9. Create a 3x3 matrix with values ranging from 0 to 8 (★☆☆)",
"h9": "hint: reshape",
"a9":
"""
""",
"q10": "10. Find indices of non-zero elements from [1,2,0,0,4,0] (★☆☆)",
"h10": "hint: np.nonzero",
"a10":
"""
""",
"q11": "11. Create a 3x3 identity matrix (★☆☆)",
"h11": "hint: np.eye",
"a11":
"""
""",
"q12": "12. Create a 3x3x3 array with random values (★☆☆)",
"h12": "hint: np.random.random",
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""",
}
# #### 4. How to find the memory size of any array (★☆☆)
#
# (**hint**: size, itemsize)
#
#
#
# #### 5. How to get the documentation of the numpy add function from the command line? (★☆☆)
#
# (**hint**: np.info)
#
#
#
# #### 6. Create a null vector of size 10 but the fifth value which is 1 (★☆☆)
#
# (**hint**: array\[4\])
#
#
#
# #### 7. Create a vector with values ranging from 10 to 49 (★☆☆)
#
# (**hint**: np.arange)
#
#
#
# #### 8. Reverse a vector (first element becomes last) (★☆☆)
#
# (**hint**: array\[::-1\])
#
#
#
# #### 9. Create a 3x3 matrix with values ranging from 0 to 8 (★☆☆)
#
# (**hint**: reshape)
#
#
#
# #### 10. Find indices of non-zero elements from \[1,2,0,0,4,0\] (★☆☆)
#
# (**hint**: np.nonzero)
#
#
#
# #### 11. Create a 3x3 identity matrix (★☆☆)
#
# (**hint**: np.eye)
#
#
#
# #### 12. Create a 3x3x3 array with random values (★☆☆)
# ####
#
# (**hint**: np.random.random)
#