Infographic Note on Introduction to Machine Learning using PyTorch with sample questions and answers

 

Keys and Values over Dictionary Objects in Python

 

Keys and Values over Dictionary Objects in Python

* Important points to remember while dealing with Dictionary Objects in Python are the following :

 

1) One can use any type of datatype while dealing with any value for a Dictionary Object in Python

2) A value can be a number , string , list , tuple or any other dictionary object in Python

3) Keys in Python should obey the following rules

 

*** point-1 ***

Keys should be always unique . Duplicate Keys are not allowed in Python . And If the user/programmer enters the same key again over the existing dictionary , then the old key would be overwritten and only the new key would be available . One can consider the following example for considering the case of uniqueness of a Key in Python

 

emp =

{

  'Data1':100,

  'Data2':200,

  'Data1':300

}

 

If someone wants to print the contents of the dictionary object after the object has been created , then one would find that the values within the dictionary for the data item which has been entered twice that is "Data1" which is entered twice in the case would be printed only once as a single data item can only exist once , and this data item would have the higher value of the object .

  

print(emp)

Result :

{

  'Data1':300,

  'Data2':200

}

 

Here , one would be noticing that the values for the data item are replaced with the one which has a higher value over the other data item object which means that the dictionary object gives precedence to that sub-data item within it to exist within it which has a higher value for the same / duplicate key .

The screenshot for the above code is as given below :

 

*** point-2 ***

Keys should be immutable in nature . For example , one can use a number , a string or a tuple as key since the keys are immutable in nature . One cannot use lists or dictionaries as Keys . If as such , Keys are used then one will get 'TypeError' . One can consider the following example in case of a Dictionary Object :

 

emp =

{

  [ 'Data1']:100,

    'Data2':200,

    'Data1':300

}

 

# Here , upon compilation and execution of the code one would get to see that for the list element 'Data1' we get an error in the output section . This is because, as mentioned above, the key item should only be a number , string or a tuple in nature .

Calculation of Probability of turning of a specific number from a throw of dice with multiple occurrence of same event

 

Big Data - Ensuring Data Integrity

 

concept of ROC curve in Data Science and Data Analytics applicable for computing the metrics for Regression

 concept of ROC curve in Data Science and Data Analytics applicable for computing the metrics for Regression 

sample question on conditional probability - - with solution - a preparatory for data science

 sample question on conditional probability - - with solution - a preparatory for data science

Question on Conditional Probability and independent events - - with solution - a preparatory for data science

 Question on Conditional Probability and independent events - - with solution - a preparatory for data science

question on conditional probability - with solution - a preparatory topic for data science

 question on conditional probability - with solution - a preparatory topic for data science