Sample Solution: Code: fromcollectionsimportnamedtuple# Define a NamedTuple named 'Student' with fields 'name', 'age', and 'marks'Student=namedtuple("Student",["name","age","marks"])defcalculate_average_grade(student):total_marks=sum(student.marks)average_grade=total_marks/len(student.marks...
44. Average Tuple of Tuples Lambda Write a Python program to calculate the average value of the numbers in a given tuple of tuples using lambda. Original Tuple: ((10, 10, 10), (30, 45, 56), (81, 80, 39), (1, 2, 3)) Average value of the numbers of the said tuple of tupl...
() if target_names is not None: tick_marks = np.arange(len(target_names)) plt.xticks(tick_marks, target_names, rotation=45) plt.yticks(tick_marks, target_names) if normalize: cm = cm.astype('float') / cm.sum(axis=1)[:, np.newaxis] thresh = cm.max() / 1.5 if normalize ...
newValue): # if binary search tree is empty, create a new node and declare it as root if root is None: root = BinaryTreeNode(newValue) return root # if newValue is less than value of data in root, add it to left subtree and proceed...
defavg(marks):assertlen(marks) !=0returnsum(marks)/len(marks) mark1 = []print("Average of mark1:",avg(mark1)) Run Code When we run the above program, the output will be: AssertionError We got an error as we passed an empty list mark1 toassertstatement, the condition became false...
pylintisn’t perfect. To take advantage of it, sometimes we’ll need to write around it, suppress its warnings or fix it. 2.1.4 Decision Make sure you runpylinton your code. Suppress warnings if they are inappropriate so that other issues are not hidden. To suppress warnings, you can se...
0 - This is a modal window. No compatible source was found for this media. mathscioptionalmathscismathscikvoptionalitemsprint("{}:{}".format(k,v))s=s+vreturns/(len(optional)+2)result=percent(math=80,sci=75,Eng=70,Hist=65,Geo=72)print("percentage:",result) ...
Average of 3 marks.py Average of 3 values calculator.py Bob loop.py Calculate Grade from given marks.py Calculate area of a circle.py Calculate area of a rectangle.py Calculate area or perimter of a circle depending on user input.py Check eligiblity to vote.py Check the largest of three...
igation problem. To run your experiments and test your code, you should make use of the Gym library1, an open-source Python library for developing and comparing reinforcement learning algorithms. You can install Gym on your computer simply by using the following command in your command ...
Stochastic Gradient Descent (SGD) is an optimization technique used in machine learning to minimize errors in predictive models. Unlike regular gradient descent, which uses the entire dataset to calculate the gradient and update model parameters, SGD updates the parameters using only one data point at...