Python is a versatile and beginner-friendly programming language that has gained immense popularity for its simplicity, readability, and wide range of applications. Whether you’re new to programming or looking to expand your skills, learning Python is an excellent choice. In this comprehensive guide, i’ll provide you with a curated list of resources and tutorials from my website to help you master Python programming from scratch.
PySpark Tutorial | Learn PySpark
PySpark is the Python API for Apache Spark, a powerful open-source framework designed for distributed computing and processing large datasets. By combining the scalability and performance of Spark with Python’s simplicity, PySpark has become an essential tool for data engineers and data scientists working with big data.
Big Data Engineer Interview Questions
Preparing for an interview in the Big Data field can be challenging, given the diverse range of technologies and methodologies involved. To help you excel in your career, I’ve compiled an extensive collection of Big Data interview questions asked by different companies in the industry
Common Python Interview Questions for Data Engineers
Python is a crucial language for Data Engineers, widely used in data processing, ETL workflows, and big data frameworks like Apache Spark. In this article, we will cover some commonly asked Python interview questions that will help you prepare for your Data Engineering interviews.
Python Free Learning Resources: Your Gateway to Mastering Python Programming
Python, with its simplicity and versatility, has become one of the most popular programming languages today. Whether you’re a beginner or an experienced developer, the abundance of free learning resources available online can help you master Python and unlock its full potential. In this blog post, we present a carefully curated selection of what we believe to be the best free resources available online. From YouTube channels to websites and offline tools, these resources are handpicked to empower you with the knowledge and skills needed to excel in Python programming. Let’s dive in!
End to End Data Engineering Roadmap
End to End Data Engineering Roadmap:
Prerequisites:
—————-
1. Basic Linux commands.
2. Programming fundamentals.
3. SQL is very important.
Discover My Topmate Services
In this article, I will be listing down and explain all my services available on topmate platform but before this let’s talk about topmate first. topmate.io is a platform that enables you to connect with your audience through 1:1 session – to share your knowledge and monetise your time better.
StoryTime | My First Project Experience in IT — From Panic to Growth
The day I joined my first project as a fresher in an MNC, I thought I’d start slow — maybe shadow someone, understand the system, or assist with small tasks.
But no.
I was handed a 4,000-line shell script — the main script of the entire module — and told:
“Go through this today. Share your understanding tomorrow.”
How to Become a Data Engineer from a Non-Technical Background: A Step-by-Step Guide
Are you interested in transitioning into data engineering, even though your background is not in technology? You’re not alone. Many people from fields like business, healthcare, or the arts dream of harnessing the power of data but worry that their lack of technical experience will hold them back. The good news: breaking into data engineering is absolutely possible—with a roadmap and determination.
StoryTime| From Content Writer to Data Engineer: A Path I Never Planned
If you’d asked me in college what I’d become after graduation, I’d have probably said:
“Maybe a Python content writer… definitely not a developer.”
I wasn’t into competitive programming.
I was somewhere between a “basic coder” and a “kuch toh aata hai” coder.
But life — and career — had different plans for me.
StoryTime | How I Overcame My Fear of Speaking and Gained Confidence in College?
I was never a topper.
I was never a failure either.
I lived somewhere in the “decent marks zone” — the middle child of academia. Not loud enough to be noticed, not quiet enough to be forgotten.
But if you asked me what I really lacked during my school days, it wasn’t grades — it was confidence.
Impetus | Big Data Engineer Interview Questions- Set 3
In this post, we will see the list of questions asked with 3+ YOE candidate in Impetus Company Interview for Data Engineer profile.
Data Engineering Interview Prep Series – Python Interview Q&A
Python is a fundamental language for Data Engineering, widely used in data processing, ETL pipelines, and big data frameworks like PySpark. To help you ace your Data Engineering interviews, I’m starting a Python Q&A series where we will cover commonly asked questions along with detailed explanations.
PySpark | How to Split a Single Column into Multiple Columns?
When working with data, you often encounter scenarios where a single column contains values that need to be split into multiple columns for easier analysis or processing. PySpark provides flexible way to achieve this using the split() function. In this article, we’ll cover how to split a single column into multiple columns in a PySpark […]
Tiger Analytics | Data Engineer Interview Questions – Set 1
In this post, we will see the list of questions asked with 4+ YOE candidate in Tiger Analytics Company Interview for AWS Data Engineer profile.
Let’s see the Questions:
PySpark | How to Perform Data Type Casting on Columns in a DataFrame?
When working with data in PySpark, ensuring the correct data type for each column is essential for accurate analysis and processing. Sometimes, the data types of columns may not match your requirements. For example, a column containing numeric data might be stored as a string (string), or dates may be stored in an incorrect format.
PySpark | How to Remove Non-ASCII Characters from a DataFrame?
When working with text data in Spark, you might come across special characters that don’t belong to the standard English alphabet. These characters are called non-ASCII characters. For example, accented letters like é in “José” or symbols like emojis ?. Sometimes, you may need to clean your data by removing these characters. This article will show you how to identify and remove non-ASCII characters from a Spark DataFrame.