IBM: Python for Data Science, AI & Development 

About the course

The Python for Data Science, AI & Development course offers a comprehensive learning experience to equip learners with the necessary skills for success in the fields of data science, artificial intelligence (AI), and software development using Python. Throughout the course, learners will master the fundamentals of Python programming, including variables, control structures, functions, and object-oriented programming. They will gain a solid understanding of Python syntax and best coding practices.

The course then delves into data science, covering essential libraries such as NumPy and Pandas for data manipulation and analysis. Learners will discover how to clean, transform, and explore datasets to extract valuable insights and make data-driven decisions. They will also learn the art of data visualization using Matplotlib and Seaborn to effectively communicate their findings. Moving into the realm of AI and machine learning, learners will explore popular algorithms using Scikit-learn. They will gain practical experience in regression, classification, clustering, and dimensionality reduction techniques. The course also introduces deep learning with frameworks like TensorFlow and PyTorch, enabling learners to build and train neural networks for image recognition and natural language processing.

Additionally, learners will discover software development using Python. They will learn to build web applications, create APIs, and deploy models and applications using frameworks like Flask and Django. This aspect of the course empowers learners to transform their data-driven solutions into scalable, user-friendly applications. By enrolling in this course, learners gain access to a wealth of resources, including video lectures, coding exercises, quizzes, and real-world projects. They also become part of a vibrant community of learners, providing opportunities for collaboration and guidance.

The Python for Data Science, AI & Development course prepares learners to excel in the data-driven world by providing them with the skills, knowledge, and confidence to tackle challenges in data science, AI, and software development. Enroll now and embark on a transformative journey towards becoming a proficient Python practitioner in these exciting domains.

Scope for Python in Data Science

Python has become the de facto programming language for data science due to its extensive range of libraries, ease of use, and active community support. The scope for Python in data science is incredibly vast and continues to expand rapidly. Here are some key areas where Python plays a significant role in data science:

• Data Manipulation and Analysis: Python provides powerful libraries such as NumPy and Pandas, which offer efficient data structures and functions for handling and analyzing large datasets. These libraries enable data cleaning, transformation, filtering, aggregation, and statistical analysis, forming the backbone of data science workflows.
• Data Visualization: Python's libraries like Matplotlib, Seaborn, and Plotly allow data scientists to create insightful visualizations, including plots, charts, and interactive dashboards. Effective visualization is crucial for exploring data, identifying patterns, and communicating insights to stakeholders.
• Machine Learning: Python boasts several robust machine learning libraries, including Scikit-learn, TensorFlow, and PyTorch. These libraries provide an extensive collection of algorithms and tools for building and training models for tasks such as regression, classification, clustering, natural language processing, image recognition, and more.
• Deep Learning: Python's TensorFlow and PyTorch libraries have become dominant frameworks for deep learning projects. Deep learning architectures like neural networks excel in tasks such as computer vision, speech recognition, and natural language processing. Python's simplicity and flexibility make it ideal for implementing and experimenting with complex deep learning models.
• Big Data Processing: Python integrates well with big data processing frameworks like Apache Spark, enabling data scientists to handle large-scale datasets and perform distributed computing tasks. Python's PySpark API provides an intuitive interface for data manipulation and machine learning on big data platforms.
• Web Scraping: Python offers libraries like Beautiful Soup and Scrapy, which facilitate web scraping to extract data from websites. Web scraping is valuable for gathering information, conducting market research, and creating datasets for analysis.
• Natural Language Processing (NLP): Python's NLTK (Natural Language Toolkit) library is widely used for NLP tasks, including text preprocessing, sentiment analysis, topic modeling, and language generation. NLP has numerous applications in areas like chatbots, language translation, and text analytics.
• Deployment and Productionization: Python's versatility extends to deploying models and applications in production environments. Libraries like Flask and Django facilitate the development of web applications, APIs, and microservices, enabling data scientists to create end-to-end data-driven solutions.

The scope for Python in data science is vast and evolving, with new libraries and tools emerging regularly. Its adaptability, extensive community support, and integration capabilities make Python an indispensable language for aspiring and seasoned data scientists alike. By mastering Python and its associated libraries, you open the doors to a wide range of career opportunities in data science and related fields.

Question 1)

When slicing in Python what does the “0” in this statement [0:2] specify?

• It specifies the position to start the slice

Question 2)

If var = “01234567” what Python statement would print out only the odd elements?

• print(var[1::2])

Question 3)

Consider the string Name=”EMILY”, what statement would return the index of 0?

• Name.find("E")

Question 4)

What is the type of the following: 1.0

• float

Question 5)

What is the result of the following code segment: int(3.99)

• 3

Question 6)

What is the result of the following code segment:1/2?

• 0.5 

Question 7)

In Python 3, what is the type of the variable x after the following: x=2/2?

• float

Question 8)

Dictionary items can be:

• Numerous data types

Question 9)

What is a tuple?

• A collection that is ordered and unchangeable

Question 10)

What is the result of the following operation: '1:2,3:4'split (':')?

• ['1', '2,3', '4']

Question 11)

What is an important difference between lists and tuples?

• Lists are mutable tuples are not 

Question 12)

How do you cast list A to the set A?

• a=set(A)

Question 13)

If x=1 what will produce the below output?

Hi

Mike

if(x!=1): 

print('Hello') 

 else: 

    print('Hi') 

 print('Mike') 

Question 14)

What statement will execute the remaining code no matter the end result?

• Finally

Question 15)

What add function would return ‘4’?

• def add(x): return(x+x) add(2) 

Question 16)

What method organizes the elements in a given list in a specific descending or ascending order?

• sort()

Question 17)

What is the output for the below line of code?

A=[8,5,2] for a in A: print(12-a) 

•  4
•  7
•  10

Question 18)

What is the output of the following?

 for i in range(1,5): if (i!=2): print(i) 

• 1
• 3
• 4

Question 19)

What is the height of the rectangle in the class Rectangle?

class Rectangle(object): def __init__(self,width=2,height =3,color='r'): self.height=height self.width=width self.color=color def drawRectangle(self): import matplotlib.pyplot as plt plt.gca().add_patch(plt.Rectangle((0, 0),self.width, self.height ,fc=self.color)) plt.axis('scaled') plt.show() 

• 3

Question 20)

What is the result of the following lines of code?

 a=np.array([0,1,0,1,0]) b=np.array([1,0,1,0,1]) a/b 

• Division by zero error

Question 21)

What is the result of the following lines of code?

 a=np.array([1,1,1,1,1]) a+10

• array([11, 11, 11, 11, 11])

Question 22)

The following line of code selects the columns along with what headers from the dataframe df?

y=df[['Artist','Length','Genre']]

• ‘Artist’, ‘Length’ and ‘Genre’

Question 23)

What is the method readline() used for?

• It helps to read one complete line from a given text file

Question 24)

Consider the following line of code:

 with open("Example.txt","a") as file1:

What mode is the file object in?

• append

Question 25)

What does URL stand for?

• Uniform Resource Locator

 Question 26)

When slicing in Python what does the “2” in this statement [0:2] specify?

• It specifies the position to end the slice

Question 27)

Consider the string Name="ABCDE", what is the result of the following operation Name.find("B") ?

• 1

Question 28)

What is the type of the following: 1.0

• float

Question 29)

What following code segment would return a 3?

• int(3.99)

Question 30)

When using the double slash “//” for integer division the result will be?

• Rounded

Question 31)

In Python 3 what does regular division always result in?

• Float

Question 32)

What data type must have unique keys?

• Dictionary

Question 33)

What is the syntax to obtain the first element of the tuple?

A=('a','b','c')

• A[0]

Question 34)

What does the split() method return from a list of words?

• The list of words in a string separated by a delimiter

Question 35)

What is an important difference between lists and tuples?

• Lists are mutable tuples are not 

Question 36)

What code segment is used to cast list “B” to the set “b”?

• b=set(B)

Question 37)

What code segment would output the following?

2

3

4

• for i in range(1,5): if (i!=1): print(i)

Question 38)

What is the result of the following lines of code?

 a=np.array([0,1,0,1,0]) b=np.array([1,0,1,0,1]) a*b 

• array([0, 0, 0, 0, 0])

Question 39)

What is the result of the following lines of code?

a=np.array([10,9,8,7,6]) a+1

• array([11,10,9,8,7])

Question 40)

How would you select the columns with the headers: Artist, Length, and Genre from the dataframe df and assign them to the variable y?

• y=df[['Artist','Length','Genre']]

Question 41)

Consider the file object: File1. What would the following line of code output?

file1.readline(4) 

• It would output the first 4 characters from the text file

Question 42)

Which line of code is in the mode of append?

• with open("Example.txt","a") as file1:

Question 43)

In Python what statement would print out the first two elements “Li” of “Lizz”?

• print(name[0:2])

Question 44)

In Python, if you executed var = '01234567', what would be the result of print(var[::2])?

• 0246 

Question 45)

Consider the string Name=”EMILY”, what statement would return the index of 0?

• Name.find("E")

Question 46)

In Python what can be either a positive or negative number but does not contain a decimal point?

• int

Question 47)

What following code segment would produce an output of “0.5”?

• 1/2

Question 48)

In Python 3 what does regular division always result in?

• Float

Question 49)

What does the index of “1” correspond to in a list or tuple?

• The second element

Question 50)

Given the function add shown below, what does the following return?

 def add(x): return(x+x) add('1') 

• '11'

Question 51)

What function returns a sorted list?

• sorted()

Question 52)

What segment of code would output the following?

11

22

33

• A=['1','2','3'] for a in A: print(2*a) 

 

Question 53)

What line of code would produce the following: array([11, 11, 11, 11, 11])?

• a=np.array([1,1,1,1,1]) a+10

Question 54)

In Python what data type is used to represent text and not numbers?

• str

Question 55)

What data type must have unique keys?

• Dictionary

Question 56)

Lists are:

• Mutable

Question 57)

What is the process of forcing your program to output an error message when it encounters an issue ?

• Exception handling

Question 58)

A list cannot be sorted if it contains:

• strings and numeric values

Question 59)

What is the method defined in the class Rectangle used to draw the rectangle?

class Rectangle(object): def __init__(self,width=2,height =3,color='r'): self.height=height self.width=width self.color=color def drawRectangle(self): import matplotlib.pyplot as plt plt.gca().add_patch(plt.Rectangle((0, 0),self.width, self.height ,fc=self.color)) plt.axis('scaled') plt.show() 

• drawRectangle

Question 60)

What is the result of the following lines of code?

 a=np.array([0,1,0,1,0]) b=np.array([1,0,1,0,1]) a+b 

• array([1, 1, 1, 1, 1])

Question 61)

What mode overwrites existing text in a file?

• Write “w”

Question 62)

If var = “01234567” what Python statement would print out only the even elements?

• print(var[::2]) 

Question 63)

In Python 3 what following code segment will produce a float?

• 1/2

Question 64)

What will this code segment “A[0]” obtain from a list or tuple?

• The first element of a list or tuple

Question 65)

What line of code would produce this output: ['1', '2', '3', '4']?

• '1,2,3,4'.split(',')

Question 66)

What is an error that occurs during the execution of code?

• Exception

Question 67)

What add function would return ‘2’?

• def add(x): return(x+x) add(1) 

Question 68)

What is the output of the following few lines of code?

 A=['1', '2', '3'] for an in A: print(2*a) 

• 11
• 22
• 33

Question 69)

What code segment would output the following?

2

• for i in range(1,5): if (i==2): print(i)

Question 70)

What is the width of the rectangle in the class Rectangle?

class Rectangle(object): def __init__(self,width=2,height =3,color='r'): self.height=height self.width=width self.color=color def drawRectangle(self): import matplotlib.pyplot as plt plt.gca().add_patch(plt.Rectangle((0, 0),self.width, self.height ,fc=self.color)) plt.axis('scaled') plt.show() 

• 2

Question 71)

What is the result of the following lines of code?

 a=np.array([0,1,0,1,0]) b=np.array([1,0,1,0,1]) a+b 

• array([1, 1, 1, 1, 1])