Question { 752 }

Differentiate between Pyramid, Django, and Flask

Answer

Pyramid: Designed for larger, complex applications, Pyramid offers flexibility and scalability. Developers can choose the database, URL structure, templating engine, etc., making it a good choice when you need a high level of customization.
Flask: A micro-framework that is easy to use and ideal for smaller applications. It’s minimalist, requiring third-party libraries for additional functionality.
Django: A high-level framework with a lot of built-in tools, making it suitable for large applications where rapid development is needed. Django’s ORM and admin interface are a major advantage.

Question { 743 }

In NumPy, how will you read CSV data into an array?

Answer

You can use `numpy.genfromtxt()` or `numpy.loadtxt()` to read CSV files into a NumPy array.
```python
import numpy as np
data = np.genfromtxt('file.csv', delimiter=',')
```

Question { 707 }

What is GIL?

Answer

GIL (Global Interpreter Lock) is a mutex that protects access to Python objects, preventing multiple native threads from executing Python bytecodes at once. It ensures that only one thread can execute Python code at a time, which can be a limitation in CPU-bound multi-threaded programs but does not significantly affect I/O-bound programs.

Question { 790 }

What is the use of sessions in Django?

Answer

Sessions in Django store user-specific data across requests. Django’s session system abstracts away the complexity of working with cookies directly. A session can store arbitrary data like user authentication status or shopping cart contents, and it works by setting a session ID cookie on the user's browser, which refers to the data stored on the server.

Question { 717 }

What are the various types of operators in Python?

Answer

Arithmetic operators**: `+`, `-`, `*`, `/`, `//`, `%`, `
Relational operators**: `==`, `!=`, `<`, `>`, `<=`, `>=`
Logical operators**: `and`, `or`, `not`
Bitwise operators**: `&`, `|`, `^`, `~`, `<<`, `>>`
Identity operators**: `is`, `is not`
Membership operators**: `in`, `not in`
Assignment operators**: `=`, `+=`, `-=`, `*=`, `/=`, etc.

Question { 929 }

How to write a Unicode string in Python?

Answer

In Python 3, strings are Unicode by default. You can write Unicode characters directly in a string or use escape sequences like `u` or `U` for Unicode code points.
Example:
```python
unicode_string = "Hello, 🌍!"
```

Question { 1669 }

How to send an email in Python?

Answer

You can send an email using the `smtplib` library, which allows you to interact with an SMTP server, and the `email` module to construct the email message.
Example:
```python
import smtplib
from email.mime.text import MIMEText
from email.mime.multipart import MIMEMultipart

sender_email = "youremail@example.com"
receiver_email = "receiver@example.com"
password = "yourpassword"

msg = MIMEMultipart()
msg['From'] = sender_email
msg['To'] = receiver_email
msg['Subject'] = "Subject of the Email"

body = "This is the email body."
msg.attach(MIMEText(body, 'plain'))

with smtplib.SMTP_SSL('smtp.gmail.com', 465) as server:
server.login(sender_email, password)
server.sendmail(sender_email, receiver_email, msg.as_string())
```

Question { 1274 }

Is there an inherent do-while loop in Python?

Answer

Python does not have a built-in `do-while` loop. However, you can simulate it using a `while` loop with a condition that ensures the loop runs at least once.
Example:
python
while True:
# code to run
if not condition:
break

Question { 1668 }

What is the best way to get the first five entries of a data frame?

Answer

You can use the `.head()` method in pandas to get the first five rows of a DataFrame:
python
import pandas as pd
df = pd.DataFrame({'a': [1, 2, 3, 4, 5, 6]})
first_five = df.head(5)

Question { 1282 }

How can you access the latest five entries of a DataFrame?

Answer

You can use the `.tail()` method to retrieve the last five rows:
python
last_five = df.tail(5)

Question { 1182 }

Explain classifier.

Answer

A classifier is an algorithm that categorizes data into one of several predefined classes or categories based on the features of the data. For example, a classifier might be trained to distinguish between emails that are "spam" or "not spam."

Question { 1435 }

What advantages does Python offer as a programming tool in today's environment?

Answer

Python is known for its readability, ease of use, and versatility. It is widely used in fields like web development, data science, machine learning, and automation. Its large number of libraries (e.g., pandas, NumPy, Django, Flask) and frameworks provide powerful tools for rapid development.

Question { 1401 }

Is Python a compiled language or an interpreted language?

Answer

Python is an interpreted language, which means the Python code is executed line-by-line by the Python interpreter at runtime, rather than being compiled into machine code beforehand.

Question { 1100 }

What is the difference between `list` and `tuple` in Python?

Answer

Lists are mutable, meaning you can change their content after creation. Tuples are immutable and cannot be changed once defined.

Question { 966 }

Explain Python's data types.

Answer

Mention built-in data types like `int`, `float`, `str`, `list`, `tuple`, `dict`, `set`, and `bool`.