Pandas
NumPy
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
WEKA
Evernote
OneNote
Notion
Joplin
Google Keep
Standard Notes
Simplenote
Trello
Pandas EvernotePandas 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.
The app helps keep everything organized and is really easy to use. I’ve been using it for a while now, and I really like it.
If you're someone who likes to keep everything in order and easily accessible, you'll want to check out the Evernote app. This app is designed to help you keep track of all your notes, ideas, and to-do lists in one place, and it does so with style.
From my experience using the app, I found that it's incredibly user-friendly and has a sleek design. You can easily create notes, organize them into notebooks, and even add tags to make it easier to find what you're looking for later on. Whether you're a student trying to keep track of your class notes or a busy professional juggling multiple projects, Evernote has you covered.
The thing that I personally like about Evernote is that before I have used word as my note taking application, than on my smartphone I have had used Google Keep and so my notes were just unorganized mess. But with Evernote now I can have my notes at one place and unified. Also the fact that I can log to another device and my notes are "just there" is really nice. And also I like graphics user interface of Evernote.
Based on our record, Pandas should be more popular than Evernote. 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.
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 / 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
Obsidian is a multi-platform note-taking and writing app. Simple enough. But aren't there plenty of those around? Yes absolutely, but they each have downsides that I wasn't able to settle with long-term. With Google Cloud it was the difficult of linking between notes (this has improved since but it's still not quite what I want). With Evernote my notes were in a proprietary format and stuck in the cloud. Notion... - Source: dev.to / 4 months ago
Notion, Obsidian, or Evernote: Great for organizing notes with tags, links, and summaries. - Source: dev.to / 5 months ago
Evernote‘s mobile website design maintains its brand style and color palette, featuring a clean and simple layout. The site’s centered call-to-action, “Sign up for free,” clearly directs users toward conversion while emphasizing the app’s value without distraction. - Source: dev.to / 8 months ago
Evernote.com — Tool for organizing information. Share your notes and work together with others. - Source: dev.to / over 1 year ago
Shottr: A tool for taking screenshots and sharing them with others. It offers more functionality than the native macOS tool and is much lighter than Skitch. - Source: dev.to / almost 2 years ago
NumPy - NumPy is the fundamental package for scientific computing with Python
OneNote - Get the OneNote app for free on your tablet, phone, and computer, so you can capture your ideas and to-do lists in one place wherever you are. Or try OneNote with Office for free.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Notion - All-in-one workspace. One tool for your whole team. Write, plan, and get organized.
OpenCV - OpenCV is the world's biggest computer vision library
Joplin - Joplin is a free, open source note taking and to-do application, which can handle a large number of notes organised into notebooks. The notes are searchable, tagged and modified either from the applications directly or from your own text editor.