Pandas
NumPy
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
WEKA
iA Writer
Scrivener
Typora
FocusWriter
Byword
WriteRoom
WriteMonkey
Ulysses.app
Pandas iA WriterPandas 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 iA Writer. While we know about 219 links to Pandas, we've tracked only 6 mentions of iA Writer. 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
You might check out iA Writer. https://ia.net/ If I didn't have a Mac with access to Bear, that's probably what I'd be using. Source: about 2 years ago
Obsidian ai (a forked version of this theme is my main, I haven't released it publicly because the ui is a clone of my favourite app iaWriter https://ia.net/, and I don't think that's ethically right to share). Source: over 2 years ago
Ia.net: looks good to build a personal wiki with hyperlinks (which is something I def want) but I fear this can get messy after a while and can loose overview easily. Source: almost 3 years ago
Thanks, it works! Could you share a link to learn more about patterns and how to use them. Unfortunately I couldn't find any info on ia.net. Source: almost 3 years ago
I went to ia.net today to see if they had updated to a new site yet, and they had! Source: almost 3 years ago
NumPy - NumPy is the fundamental package for scientific computing with Python
Scrivener - Scrivener is a content-generation tool for composing and structuring documents.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Typora - A minimal Markdown reading & writing app.
OpenCV - OpenCV is the world's biggest computer vision library
FocusWriter - FocusWriter is a fullscreen, distraction-free word processor designed to immerse you as much as...