Pandas
NumPy
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
WEKA
TidyCal
Cal.com
Calendly
SavvyCal
zcal
Acuity Scheduling
Breely
SetMore
Scheduling a meeting shouldn’t require endless rounds of email tag just to find a time that works for all your stakeholders. (“Next month is a no-go, too. Should we try for 3 p.m. CT next year?”)
It’s hard enough to find work-life balance when you’re manually coordinating across time zones and merging details from your work and personal calendars.
You need a stress-free way to manage meetings across all your calendars.
Pandas TidyCalPandas 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 seems to be a lot more popular than TidyCal. While we know about 219 links to Pandas, we've tracked only 1 mention of TidyCal. 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 / 29 days 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 / about 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 / 9 months ago
We use https://tidycal.com/ because you get a lifetime deal when you buy it and you can sync your calendar with it, so if you or your partners are already booked, it will not allow someone to book during that timeslot. Source: over 2 years ago
NumPy - NumPy is the fundamental package for scientific computing with Python
Cal.com - Cal.com (formerly Calendso) is the open source Calendly alternative.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Calendly - Say goodbye to phone and email tag for finding the perfect meeting time with Calendly. It's 100% free, super easy to use and you'll love our customer service.
OpenCV - OpenCV is the world's biggest computer vision library
SavvyCal - A scheduling tool both the sender and the recipient will love.
