Getting a data analyst job in 2025 requires a good combination of technical skills, communication skills, and domain understanding of the field. We can see, that it is getting difficult day by day to stand out in a competitive job market. Let’s go through a step-by-step guide to help you land a data analyst internship. […]
How to get a data analyst internship in 2025 Read More »
We have made 50 Jenkins MCQs covering various topics like setup, usage, plugins, configuration, and integration. 1. What is Jenkins? a) A code analysis tool b) A CI/CD tool for automating software builds, testing, and deployment c) A version control system d) A container orchestration tool Answer: b) A CI/CD tool for automating software builds,
Let’s go through 50 Docker MCQs covering a wide range of topics from basic concepts to advanced features of Docker. 1. What is Docker? a) A cloud-based storage service b) A containerization platform for deploying applications c) A virtualization platform for running VMs d) A configuration management tool Answer: b) A containerization platform for deploying
Pandas is a very helpful library for manipulating, analyzing, and extracting meaningful information from data files. While working with a CSV file or Excel file I got an error EmptyDataError: No columns to parse from file. To give an overview, the error occurs when we try to read a file that appears to be empty
Solved EmptyDataError: No columns to parse from file Read More »
When we are working with numbers in Python, we sometimes come across situations where we get numbers like 34.00001, 10000.2358, etc. But in certain situations, these decimal points don’t add value to our calculation and we want to round or truncate the decimals. In this blog, we will see several techniques for truncating decimals using
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The following blog contains 60 MCQs on Python basic. It includes topics like functions, try and exception, list, tuple and dictionary. This MCQ tests your understanding of the basics in Python. Python Functions MCQ A Python function is a block of reusable code that is used to perform a specific task. These Python functions help
Summary The blog has been written by a machine learning practitioner. He has practical experience in solving CUDA and GPU issues of compatibility in production environments using PyTorch and TensorFlow. The solution shared here is based on troubleshooting of NVIDIA GPUs across multiple CUDA versions, driver configurations, and compute architectures The reason for getting RuntimeError:
Fixed runtimeerror: cuda error: no kernel image is available for execution on the device Read More »
The error “ValueError: can only compare identically-labeled series objects” comes in Pandas and specifically when we are dealing with series. This error is quite frustrating when we are new to pandas and performing data analysis. Understanding ValueError: can only compare identically-labeled series objects with code examples. We get “ValueError: Can only compare identically-labeled Series objects”
When we are working with GPU accelerated frameworks like PyTorch we tend to face errors related to CUDA which can be a frustrating experience. One such error is RuntimeError: cuda error: cublas_status_not_initialized when calling cublascreate(handle). Knowing the exact cause of error is quite difficult but we can narrow it down to places where we can
Fixing the RuntimeError: cuda error: cublas_status_not_initialized in PyTorch Read More »
