Python Interview Questions for Freshers 1. What is __init__? 2. What is the difference between Python Arrays and lists? 3. Explain how can you make a Python Script executable on Unix? 4. What is slicing in Python? 5. What is docstring in Python? 6. What are unit tests in Python...
it uses an interpreter to run through the lines of code and executes them as they appear. This also has the side benefit of making Python cross-platform: so long as the platform has a functioning interpreter, Python code can run on it. ...
Python Pandas Interview Questions Pandas and Numpy Interview Questions Whether you’re new to the field or experienced, interviewers will likely ask you about Pandas. These are basic Python tools that interviewers often use to initiate conversations. If you can’t answer these questions, the intervie...
The Pickle module takes any Python object, converts it to a string representation, and uses the dump function to dump it into a file. This process is called pickling. On the other hand, unpickling is the method of recovering original Python objects from a stored string representation. Q. Wh...
1. When to Use Python Lists and when to Use Tuples, Dictionaries or Sets The introduction seems pretty straightforward when you’re just reading it, but when you’re actually working on a small python script or a whole project, the choice for a list or some other sequence type might not...
In Python, you can overload constructors or methodsby defining multiple methods or constructors with the same name, but different parameters. When you call the method or constructor, Python will choose the correct one to execute based on the number and types of arguments passed in. ...
Python concepts into various sections Here is a comprehensive compilation of Python interview questions and answers covering a wide range of topics. From basic syntax and data types to advanced concepts like object-oriented programming, data structures, and popular libraries, this resource offers a str...
Data Analyst Interview Questions On Python 77. You have a dataframe (df) with columns 'Age' and 'Salary', How would you calculate the average salary for each age group? average_salary_by_age = df.groupby('Age')['Salary'].mean() print(average_salary_by_age) Here we are grouping...
# Define a python function that operates on pySpark DataFramesdefget_discounted_price(df):returndf.withColumn("discounted_price",\ df.price-(df.price*df.discount)/100)# Evoke the transformationdf_discounted=df_from_csv.transfrom(get_discounted_price) ...
12. How are Dictionaries implemented in Python? Python dictionaries are implemented on top of another great technology — hash tables. A hash table is basically a collection of key-value pairs that are stored in a memory area that is divided into a specific number of buckets. They are called...