Srini

Srinimf

Blog: https://srinimf.com/
Blog: https://srinimf.com/
Profile: https://srinimf.com/author/moonrobot/
Profile: https://srinimf.com/author/moonrobot/
Homepage: https://srinimf.com
Homepage: https://srinimf.com

Perficient: Top SQL, PySprak Interview Questions

Covering interview questions on SQL and PySpark, specifically, Add, Delete, Replace rows in PySpark
Pandas Top Interview Questions: Citius Tech

The CitiusTech Data Engineer interview contained SQL and Pandas questions with solutions, including file reading and data formatting.
Pycache Folder in Python: How to Access its Location

The Pyc files in Python are stored in the Pycache folder after running the script; compiled using “python -m compileall”.
Top 5 PySpark Interview Questions: Tredence Analytics

Tredence excels in data science projects. Key Data Engineer interview topics: SQL, Python, PySpark, and data transformation.
Optimize Azure Databricks: Best Practices for Performance, Efficiency, and Security

Here are 12 effective methods for enhancing the performance of Databricks.
How to Use Delta Lake with PySpark: Essential Queries Explained

Delta Lake brings ACID transactions to Apache Spark, offering data versioning, schema enforcement, lineage, and more commands for efficient data management.
Python Logic: Extracting First and Last Names from Nested JSON

This content explains extracting first and last items from nested JSON using Python logic and methods.
Pandas Reindexing Use Cases for Business Data Alignment and Analysis

Pandas reindexing is essential for data alignment, handling missing values, and changing data frequency in business.
13 Tricky Azure Databricks Interview Question Asked in Mphasis

Here are Mphasis Azure Databricks interview questions covering clusters, runtimes, data frames, SQL queries, S3, and Delta Lake.
Enhance NumPy Performance: Techniques and Examples

Here is a comprehensive list of techniques that can dramatically enhance the performance of NumPy. Each technique is accompanied by a straightforward example for clarity. Optimizing NumPy performance involves various techniques to make your numerical computations more efficient. Here are some tips to maximize NumPy performance. Table of contents Vectorization NumPy operations are designed to…
13 Python PySpark Interview Questions: TCS and EXL

Interview questions on SQL, Python, and PySpark covering index types, tuple advantages, and query examples.
EXL Interview Questions: Python and SQL

Here are EXL’s interview questions on Python and SQL, including SQL JOINs and Python list manipulation methods.