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Questions and Answers
Which of the following is a valid integer in Python?
Which of the following is a valid integer in Python?
What is the correct syntax to define a list in Python?
What is the correct syntax to define a list in Python?
Which data type would best represent the value 'True' in Python?
Which data type would best represent the value 'True' in Python?
Which of the following variable names is invalid in Python?
Which of the following variable names is invalid in Python?
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What will the output of 'print(type(3.14))' be?
What will the output of 'print(type(3.14))' be?
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Which data structure uses curly braces {} to define its contents?
Which data structure uses curly braces {} to define its contents?
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What type of data structure is created with ( )?
What type of data structure is created with ( )?
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Which statement about variable naming is false?
Which statement about variable naming is false?
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Which function would you use to convert an integer to a string in Python?
Which function would you use to convert an integer to a string in Python?
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What will be the output of print(type(variable3)) where variable3 = 123.456?
What will be the output of print(type(variable3)) where variable3 = 123.456?
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What is the purpose of using type conversions?
What is the purpose of using type conversions?
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If variable5 = '6000', what will be the output of print(type(int(variable5)))?
If variable5 = '6000', what will be the output of print(type(int(variable5)))?
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Which of the following conversions would lead to data loss?
Which of the following conversions would lead to data loss?
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What will the command print(type(variable2)) return if variable2 = '123'?
What will the command print(type(variable2)) return if variable2 = '123'?
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Which module is mentioned for performing data analysis in Python?
Which module is mentioned for performing data analysis in Python?
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What does the parameter 'ascending=False' do in the sort_values() function?
What does the parameter 'ascending=False' do in the sort_values() function?
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Which of the following methods is used to filter rows and select columns based on their integer positions?
Which of the following methods is used to filter rows and select columns based on their integer positions?
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Which of the following statements about renaming columns is correct?
Which of the following statements about renaming columns is correct?
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When using loc, what does the format loc[row, column] represent?
When using loc, what does the format loc[row, column] represent?
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What does the code 'housing_df.shape' return?
What does the code 'housing_df.shape' return?
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What is the first step to launch Spyder from Anaconda Navigator?
What is the first step to launch Spyder from Anaconda Navigator?
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How can a user run a Python program in Spyder?
How can a user run a Python program in Spyder?
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What must be checked when installing Python to ensure it can be run from the command line?
What must be checked when installing Python to ensure it can be run from the command line?
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What command can be used to check if Pip is installed?
What command can be used to check if Pip is installed?
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What is the correct way to create a new Python file in Jupyter Notebook?
What is the correct way to create a new Python file in Jupyter Notebook?
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What happens when you type 'python' in the command prompt after installing Python?
What happens when you type 'python' in the command prompt after installing Python?
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What is the significance of checking Python's version using '$ python --version'?
What is the significance of checking Python's version using '$ python --version'?
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How should you run your Python code in Jupyter Notebook?
How should you run your Python code in Jupyter Notebook?
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What does the iloc method primarily allow you to access in a DataFrame?
What does the iloc method primarily allow you to access in a DataFrame?
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When using the loc method with the syntax loc[a:b], what does it return?
When using the loc method with the syntax loc[a:b], what does it return?
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What is the primary distinction between a List and a Tuple in Python?
What is the primary distinction between a List and a Tuple in Python?
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How is the mean of a column calculated in a DataFrame?
How is the mean of a column calculated in a DataFrame?
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What does the describe method provide in a DataFrame?
What does the describe method provide in a DataFrame?
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When is a Tuple preferred over a List in Python?
When is a Tuple preferred over a List in Python?
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Which statement about accessing the second column of a DataFrame using iloc is correct?
Which statement about accessing the second column of a DataFrame using iloc is correct?
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In a DataFrame, what does the syntax housing_df['TOTAL_VALUE'][0:10] do?
In a DataFrame, what does the syntax housing_df['TOTAL_VALUE'][0:10] do?
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Study Notes
Python Data Types
- Strings: Text enclosed in quotation marks, e.g., "hello there"
- Floats: Numbers with decimal points, e.g., 0.25
- Integers: Whole numbers without decimal points, e.g., 100
- Booleans: Represent truth values, either True or False, represented as 1/0 or F/T
- Lists: Ordered collections of data enclosed in square brackets, e.g., [1, 2, 3, 4, 5]
- Tuples: Immutable collections of data enclosed in parentheses, e.g., (1, 2, 3, 4, 5)
- Dictionaries: Unordered collections of key-value pairs enclosed in curly braces, e.g., {"a": 1, "b": 2, "c": 3}
Variable Naming Conventions
- Can only contain alphanumeric characters and underscores (A-z, 0-9, and _)
- Cannot start with a number
- Case-sensitive (e.g., "var" is different from "Var" and "VAR")
Type Conversion
- Can convert data types using functions like:
-
float(): Converts integers to floats -
int(): Converts floats to integers -
str(): Converts integers or floats to strings
-
Using Pandas for Data Analysis
- Pandas is a Python library for data manipulation and analysis.
- DataFrame is a key data structure in Pandas that represents tabular data (rows and columns).
- The
read_csv()function reads data from CSV files into a DataFrame.
Data Structures in Python
- Vector: A one-dimensional array containing data of the same type (numeric or text).
- Matrix: A two-dimensional array with rows and columns, all elements of the same type.
- Array: A three-dimensional array with rows, columns, and depth, all elements of the same type.
- Data Frame: A tabular data structure with multiple columns and rows, allowing for different data types.
- Lists: Versatile collections that can hold various data types, including vectors, arrays, data frames, and other lists.
List vs. Tuple
- Lists: Mutable, meaning their elements and size can be modified after creation.
- Tuples: Immutable, meaning they are fixed and cannot be changed once created.
- Use lists for dynamic data where updates are needed.
- Use tuples for data where immutability and data integrity are essential.
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Description
This quiz covers the fundamental data types in Python, including strings, integers, floats, booleans, lists, tuples, and dictionaries. Additionally, it addresses variable naming conventions and type conversion methods. Test your understanding of these essential concepts in Python programming.
