Pandas is particularly recommended for data scientists, analysts, and engineers who need to perform data cleaning, transformation, and analysis as part of their work. It is also suitable for academics and researchers dealing with data in various formats and needing powerful tools for their data-driven research.
Based on our record, Pandas should be more popular than interviewing.io. It has been mentiond 219 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Interviewing.io – Anonymous mock interview platform with real engineers from top tech companies. - Source: dev.to / 4 months ago
Conduct Mock Interviews: Simulate interview scenarios using platforms like Pramp or Interviewing.io. This helps you manage time, pressure, and articulating your thought process. - Source: dev.to / 10 months ago
How is this different than https://interviewing.io/ ? - Source: Hacker News / 11 months ago
Interviewing.io[1] lets users to practice mock interviews (coding interviews) with peers or professional interviewers. These interviews are anonymous. They also offer mentorship sessions with “dedicated coaches” from FAANG or other backgrounds. They claim 99% satisfaction rate and 82% of success (landing a job in the desired company). It sounds really vague and difficult to verify due to the anonymous aspect. Does... - Source: Hacker News / over 1 year ago
There is also https://interviewing.io/, but that platform is a rip off. Either you need to pay an arm and a leg, or you need to trade two interviews that you do for others in exchange for a single interview that you receive. Pramp is much better in that respect. With Pramp, you interview the other job-hunter for 30 minutes and they interview you for 30 minutes. It's a much fairer exchange. Source: over 1 year ago
Libraries for data science and deep learning that are always changing. - Source: dev.to / about 2 months ago
# Read the content of nda.txt Try: Import os, types Import pandas as pd From botocore.client import Config Import ibm_boto3 Def __iter__(self): return 0 # @hidden_cell # The following code accesses a file in your IBM Cloud Object Storage. It includes your credentials. # You might want to remove those credentials before you share the notebook. Cos_client = ibm_boto3.client(service_name='s3', ... - Source: dev.to / 2 months ago
As with any web scraping or data processing project, I had to write a fair amount of code to clean this up and shape it into a format I needed for further analysis. I used a combination of Pandas and regular expressions to clean it up (full code here). - Source: dev.to / 2 months ago
Python’s Growth in Data Work and AI: Python continues to lead because of its easy-to-read style and the huge number of libraries available for tasks from data work to artificial intelligence. Tools like TensorFlow and PyTorch make it a must-have. Whether you’re experienced or just starting, Python’s clear style makes it a good choice for diving into machine learning. Actionable Tip: If you’re new to Python,... - Source: dev.to / 4 months ago
This tutorial provides a concise and foundational guide to exploring a dataset, specifically the Sample SuperStore dataset. This dataset, which appears to originate from a fictional e-commerce or online marketplace company's annual sales data, serves as an excellent example for learning and how to work with real-world data. The dataset includes a variety of data types, which demonstrate the full range of... - Source: dev.to / 10 months ago
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