Pandas
NumPy
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
WEKA
Dash for macOS
Zeal
DevDocs
AttendanceBot
iTerm2
Velocity
Attend It
Devhints
Pandas Dash for macOSOnce you get use to it, you won't be able to imagine your life without Dash. It will save you a bit of time every day. Many times.
As a bonus you can use the "snippets" feature as a generic text-expander. That saves me tons of time when writing emails, too.
p.s. aText is not exactly a direct competitor; however, I replaced it through the snippets feature of Dash.
Based on our record, Pandas should be more popular than Dash for macOS. 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 / 17 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 1 month 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 1 month 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 / 3 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
Https://kapeli.com/dash for MacOS supports man pages just like any of its many other documentation sources. Just prefix the search query with `man:`. Absolute hall of fame app IMO. - Source: Hacker News / about 1 month ago
Yeah, I do something kind of similar, using Dash [1] snippets which expand to full commands. Since I'm almost always on my mac, it means they're available in every shell, including remote shells, and in other situations like on Slack or writing documentation. I mostly use § as a prefix so I don't type them accidentally (although my git shortcuts are all `gg`-consonant which is not likely to appear in real typing).... - Source: Hacker News / 2 months ago
Yeah, I keep thinking that CHM was the peak format for offline docs. Today we have Kiwix [0] and Dash/Zeal [1] – both amazing projects, but somehow they feel more complex, and the formats they use aren’t as ubiquitous. [0]: https://kiwix.org/en/ [1]: https://kapeli.com/dash for macOS, https://zealdocs.org/ for others. - Source: Hacker News / 3 months ago
Dash https://kapeli.com/dash Mac app. A native standardised search and browsing interface for the documentation of almost every programming language out there (and in some cases, their third-party libraries too). - Source: Hacker News / 8 months ago
Rerun is great. I wish they prioritize rerun_sdk build for iOS and/or Android - so that you can log remotely from mobile devices. Serializing and streaming images, depthmaps, sensors data in own code is a pain and rerun has done great work with that. A little worrying for me that rerun seems getting more complicated and verbose and API changes frequently. The whole vizualization code can clutter algorithm/code... - Source: Hacker News / 9 months ago
NumPy - NumPy is the fundamental package for scientific computing with Python
Zeal - Zeal is an API Documentation Browser.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
DevDocs - Open source API documentation browser with instant fuzzy search, offline mode, keyboard shortcuts, and more
OpenCV - OpenCV is the world's biggest computer vision library
AttendanceBot - Time & attendance tracking for distributed teams
