cinemagoer
jaydebeapi
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cinemagoer | jaydebeapi | |
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3 | 1 | |
1,191 | 355 | |
1.3% | - | |
7.1 | 0.0 | |
about 1 month ago | about 1 month ago | |
Python | Python | |
GNU General Public License v3.0 only | GNU Lesser General Public License v3.0 only |
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cinemagoer
- [OC]IMDB Top 30 movies: cast death rate
- I have created a program to keep track of the movies I watch this year with Tkinter and Sqlite3
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Creating an autocomplete search form (probably w/ jQuery) using a comprehensive (huge) movie title list (Django project) from IMDBPy
I am in the early stages of retrieving IMDB data via the Python package IMDBPy (their site) (project github). I have been referring to this nice IMDBpy implementation for help with aspects of what I'm doing here. Several of the queries that I'm using generate datasets that come in "nested dictionary" form, e.g. 'movie_1':{'title':'One Flew Over the Cuckoo's Nest', 'director': 'Milos Forman'...}. My early version of the title retrieval takes this form in VIEWS.PY: def index(request): imdb = IMDb() test_movies = {} for i in range(1100000, 1100015): test_movies[f'movie_{i}'] = imdb.get_movie(f'{i}') context = { 'test_movies':test_movies, } return render(request, 'index.html', context)
jaydebeapi
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Bulk load Pandas DataFrames into SQL databases using Jaydebeapi
Loading Pandas DataFrames into SQL databases of all names is a common task between all developers working on building data pipelines for their environments or trying to automate ETL jobs generally. And for that, Pandas DataFrame class has the built-in method pandas.DataFrame.to_sql that allows to do so very quickly, for SQLite and all the databases supported by SQLAlchemy library, and when it comes to those who doesn’t have a good support by it ( in my case was IBM DB2 ), developers find themselves forced to think twice for some work around in order to get the job done. Jaydebeapi introduces himself as a good alternative, and it’s particularly seen thus by all developers coming from a Java background and having some familiarities of working with JDBC API to access the database. Let’s start first by creating the database connection. for that reason I will be creating a simple function that takes in params all the informations required and it will give a connection to DB2 as a return.
What are some alternatives?
pychromecast - Library for Python 3 to communicate with the Google Chromecast.
snowflake-connector-python - Snowflake Connector for Python
jumpstarter
dataset - Easy-to-use data handling for SQL data stores with support for implicit table creation, bulk loading, and transactions.
Botflix - 🎥 Stream your favorite movie from the terminal!
sqllex - The most pythonic ORM (for SQLite and PostgreSQL). Seriously, try it out!
lemondb - Simple and lightweight document oriented database
PyPika - PyPika is a python SQL query builder that exposes the full richness of the SQL language using a syntax that reflects the resulting query. PyPika excels at all sorts of SQL queries but is especially useful for data analysis.
TIMDB - The Indian Movie Database - supports content-based and collaborative filtering techniques
Skytrax-Data-Warehouse - A full data warehouse infrastructure with ETL pipelines running inside docker on Apache Airflow for data orchestration, AWS Redshift for cloud data warehouse and Metabase to serve the needs of data visualizations such as analytical dashboards.
movietopia - Movie Database Project. The capstone project for Harvard's Course CS50’s Web Programming with Python and JavaScript.
linkedin_scraper - A library that scrapes Linkedin for user data