Featured Post

Python Set Operations Explained: From Theory to Real-Time Applications

-
Image
A  set  in Python is an unordered collection of unique elements. It is useful when storing distinct values and performing operations like union, intersection, or difference. Real-Time Example: Removing Duplicate Customer Emails in a Marketing Campaign Imagine you are working on an email marketing campaign for your company. You have a list of customer emails, but some are duplicated. Using a set , you can remove duplicates efficiently before sending emails. Code Example: # List of customer emails (some duplicates) customer_emails = [ "alice@example.com" , "bob@example.com" , "charlie@example.com" , "alice@example.com" , "david@example.com" , "bob@example.com" ] # Convert list to a set to remove duplicates unique_emails = set (customer_emails) # Convert back to a list (if needed) unique_email_list = list (unique_emails) # Print the unique emails print ( "Unique customer emails:" , unique_email_list) Ou...
Post a Comment

5 Tricky Python Interpreter Interview Questions

-

Python is an interpreter, which converts to byte-code when it first encounters the .py module. It is portable. And, it is a one-time job.



IN THIS PAGE


  1. Python Interpreter Interview Questions

Python Interpreter


1 - What's an Interpreter?


Python interpreter converts source-code to byte-code when you first execute it is non-runnable code. The only software can process that code. During Python installation, a virtual environment will create. This environment can parse the byte code.



2 - What're the differences Between Bytecode and Machine Code?


  • Machine code is binary that you can see in the form of 0,1s.
  • Byte code is non-readable, only a designated software can parse it.

3 - How does Python Interpreter Work?

Self-read flow chart. The smiley is byte-code. It uses other libraries and create byte-code.


Python interpreter is not a compiler. It is tricky, interviews, they may confuse you. This answer is perfect for how the interpreter works in Python.
Execution flow of Interpreter


4 - When you Install Python, the list of components do you think to install?


Interpreter and Libraries.


Interpreter.


The process of the interpreter is BlackBox to the programmer. The interpreter will create a .pyc module. It will then be input to PVM (Python Virtual Machine). So you don't need to interpret it when you invoke next time.



The PVM (Python Virtual Machine) is just like JVM in Java, a run-time environment, which executes Byte-code and gives you output. Here are 4 Python Oops Concepts.



Libraries.


During the Python installation, you can see a lot of other libraries do install. These libraries help the interpreter work smoothly.


A Flowchart that shows how Python interpreter uses the Libraries to create byte code.



Python Byte-code


5. What is the name of the Module That creates PVM?

It is called Venu. The source code present at Lib/venv/.


Keep Reading

Comments

Post a Comment

Thanks for your message. We will get back you.

Popular posts from this blog

SQL Query: 3 Methods for Calculating Cumulative SUM

-
Image
SQL provides various constructs for calculating cumulative sums, offering flexibility and efficiency in data analysis. In this article, we explore three distinct SQL queries that facilitate the computation of cumulative sums. Each query leverages different SQL constructs to achieve the desired outcome, catering to diverse analytical needs and preferences. Using Window Functions (e.g., PostgreSQL, SQL Server, Oracle) SELECT id, value, SUM(value) OVER (ORDER BY id) AS cumulative_sum  FROM your_table; This query uses the SUM() window function with the OVER clause to calculate the cumulative sum of the value column ordered by the id column. Using Subqueries (e.g., MySQL, SQLite): SELECT t1.id, t1.value, SUM(t2.value) AS cumulative_sum FROM your_table t1 JOIN your_table t2 ON t1.id >= t2.id GROUP BY t1.id, t1.value ORDER BY t1.id; This query uses a self-join to calculate the cumulative sum. It joins the table with itself, matching rows where the id in the first table is greater than...
Read more

Big Data: Top Cloud Computing Interview Questions (1 of 4)

-
Image
The below are frequently asked interview questions on Cloud computing: 1) What is the difference between Cloud and Grid? Grid: -Information service -Security Service -Data management -Execution Manageement Cloud: - Maintains up-to-date information of resources -Create VMs according to user requirement -Application deploment -User management 2) What are the different cloud standards? -Interoperability standards -Security standards -Portability Standards -Governance and Risk standards 3) What are the two different sub-systems in Cloud computing ? -Management sub system -Resource sub system 4)What is Cloud compouting? The promise of cloud computing is ubiquitous access to a broad set of applications and services, which are delivered over the network to multiple customer. 5) Why we need specialized network for Cloud services? The public Internet is the simplest choice for delivering cloud-based services. In this model, the cloud provider simply purchases Inter...
Read more

5 SQL Queries That Popularly Used in Data Analysis

-
Image
 Here are five popular SQL queries frequently used in data analysis. 1. SELECT with Aggregations Summarize data by calculating aggregates like counts, sums, averages, etc. SELECT department, COUNT(*) as employee_count, AVG(salary) as average_salary FROM employees GROUP BY department; 2. JOIN Operations  Combine data from multiple tables based on a related column. SELECT e.employee_id, e.name, d.department_name FROM employees e JOIN departments d ON e.department_id = d.department_id; 3. WHERE Clause for Filtering Filter records based on specified conditions. SELECT * FROM sales WHERE sale_date BETWEEN '2024-01-01' AND '2024-12-31'   AND amount > 1000; 4. ORDER BY Clause for Sorting Sort results in ascending or descending order based on one or more columns. SELECT product_name, price FROM products ORDER BY price DESC; 5. GROUP BY with HAVING Clause Group records and apply conditions to the aggregated results. SELECT department, SUM(salary) as total_salaries FROM employ...
Read more