Simkl VS Pandas
Compare Simkl VS Pandas and see what are their differences
LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives.
featured
Simkl
Trakt.tv
IMDb
Letterboxd
Reelgood
Must App
TMDb Movies & TV Shows
TV Time
Pandas
NumPy
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
WEKA
All about the TV Shows, Anime and Movies: trailers, photos, screenshots, screencaps, wallpapers, comments, TV ratings. Free open REST API for developers.
Simkl PandasTo Be honest, after few weeks of using SIMKL. I discovered soo many amazing features, it literally had features from 5-15 different websites all packed together in one and amazing browser extension and mobile app interface as well!
Based on our record, Pandas should be more popular than Simkl. 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.
We are looking for Moderator ( In Exchange we will provide VIP membership to https://simkl.com/ (DM me Directly). Source: about 2 years ago
Yes, we got. Move to another track service. I'm trying https://simkl.com/ for now. TvTime is kinda joke now. Not working for a week, support doesn't respond. Source: about 2 years ago
I kinda gave up on TVTime a few days ago and went to https://simkl.com. Kinda like it so far. You can import your TVTime stuff (you have to send an email to TVTime but they responded within an hour so don't let that put you down). It's way more up to date and responsive! Source: about 2 years ago
First create your account on MyAnimeList or SIMKL to keep track of your list. Source: about 2 years ago
We are looking for Moderator ( In Exchange we will provide VIP membership to https://simkl.com/ (DM me Directly). Source: about 2 years ago
Libraries for data science and deep learning that are always changing. - Source: dev.to / 21 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
Trakt.tv - Automatically track TV shows & movies you're watching.
NumPy - NumPy is the fundamental package for scientific computing with Python
IMDb - Internet Movie Database
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Letterboxd - Letterboxd is a social site for sharing your taste in film, now in public beta.
OpenCV - OpenCV is the world's biggest computer vision library