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 Pyt
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...
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...
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...
This is where things start to get a bit harder. Here are some technical interview questions on Python: 1. What are the types of inheritance allowed in Python? Single Inheritance: A class inherits from a superclass. Multiple Inheritance: A class inherits from 2 or more superclasses. ...
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...
Basic Excel Interview Questions for Freshers 1. How do you select multiple cells in Excel? There are a few notable methods to select multiple cells in Excel, and they are discussed below: Click and drag: To choose a specific group of cells, click on a cell, hold down the left mouse but...
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 has its flaws too: Python's interpreted nature imposes a speed penalty on it. While Python is great for a lot of things, it is weak in mobile computing, and in browsers. Being dynamically-typed, Python uses duck-typing (If it looks like a duck, it must be a duck). This can...
# 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) ...