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.
Apache OpenOffice is recommended for users who need a straightforward, cost-free office software suite and do not require the most cutting-edge features or high-level collaboration tools. Additionally, it may be suitable for users who prioritize stability over frequent updates and those operating on older systems where lightweight software is preferred.
Based on our record, Pandas seems to be a lot more popular than Apache OpenOffice. While we know about 219 links to Pandas, we've tracked only 13 mentions of Apache OpenOffice. 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.
Libraries for data science and deep learning that are always changing. - Source: dev.to / about 1 month 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 / about 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
These people need openoffice.org lol. Most of the tools that micro$oft makes are easily found in open source elsewhere, if one just looks around a bit. Source: about 2 years ago
Apache Open Office - it does everything Microsoft Office does but it's free. Just go to openoffice.org. Source: about 2 years ago
For those who want to write it, read it, and delete it at any time, there is an easy, free alternative: OpenOffice. Source: over 2 years ago
You can try to use canva.com to help design pieces or work or projects for clients. Try using openoffice.org or libreoffice.org create documents, slide presentations, or posters. You can learn basic programming and coding through https://www.freecodecamp.org/ and khanacademy.org with other sites listed at https://skillcrush.com/blog/64-online-resources-to-learn-to-code-for-free/, learn digital marketing and... Source: over 2 years ago
Lets roll back 20 years to 2002. We looked after PC's running 2000 and XP. A couple of servers, Exchange 5.5/2000, maybe venturing onto a server for File storage and a few app servers. Nothing really broke all that often (even though back then we thought it did). We would upgrade some PC's, deal with printer driver issues, Installed Roxio countless number of times and if we had time looked at implementing a... Source: over 2 years ago
NumPy - NumPy is the fundamental package for scientific computing with Python
LibreOffice - Free office suite, open source, and compatible with .doc, .docx, .xls, .xlsx, .ppt, .pptx files. Updated regularly – download for free. Originally based on OpenOffice.org.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Microsoft 365 - Boost your productivity with reliable access anywhere with services like email, calendar, file sharing, meetings, instant messaging, and Office Online
OpenCV - OpenCV is the world's biggest computer vision library
WPS Office - Would you need Office Word, Excel or PowerPoint for Home, business or School? WPS.com would give you right version for you.