Pandas VS IMDb
Compare Pandas VS IMDb 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
Pandas
NumPy
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
WEKA
IMDb
Simkl
Letterboxd
Rotten Tomatoes
Trakt.tv
Metacritic
Criticker
TMDB
PandasPandas 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.
Movie and TV enthusiasts, film students, industry professionals, and anyone interested in accessing a wide range of entertainment information, reviews, and ratings.
Pandas might be a bit more popular than IMDb. We know about 219 links to it since March 2021 and only 186 links to IMDb. 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
I also found out that imdb.com has a parental guide, that's pretty neat! https://www.imdb.com/title/tt0944947/parentalguide. Source: over 1 year ago
Anyone have issues accessing some sites? Just to let everyone know its happening on every device in my home not just one. For example I cannot get to imdb.com I get 403 error but I can get to netflix.com. I can get to all sites if I connect to a vpn first. So its something with atts network but not sure what. Source: over 1 year ago
According to imdb.com: Panavision Cameras and Lenses https://www.imdb.com/title/tt0113118/technical/?ref\_=tt\_spec\_sm. Source: over 1 year ago
I spent some time working on this tool called IMDB-Trakt-Syncer which syncs user watchlist, ratings and comments for Movies, TV Shows and Episodes both ways between IMDB and Trakt. Also syncs episode ratings. You can use this script alongside PlexTraktSync and TMDB-Trakt-Syncer to get your ratings syncs across all 4 platforms! It should work on any OS. The project's Github repository and source code can be found... Source: over 1 year ago
Check Internet Movie Database for the movie title. Most list filming locations. Should help narrow it to the city. imdb.com. Source: almost 2 years ago
NumPy - NumPy is the fundamental package for scientific computing with Python
Simkl - Simkl is a TV, anime, and movie tracker that keeps a history of all the shows and movies you watch in one, central location. It’s a mobile app, a website, Google Chrome extension to keep track of everything you watch and integrates with many TV apps
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
Rotten Tomatoes - Rotten Tomatoes, home of the Tomatometer, is the most trusted measurement of quality for Movies & TV. The definitive site for Reviews, Trailers, Showtimes, and Tickets