Python script that can read csv file and output a markdown file containing logseq block and block properties (from csv data), and a basic query script to generate a table query (like the format in csv file). The goal is to simulate notion table database in logseq. Also come with a script to reverse!

Upload & Merge CSV or JSON Data with Images to Notion Database

CLI that ingests data from a CSV file, transforms it, updates a Notion database with it. Built using the Notion JS SDK and TypeScript.

Cursor for Data Analytics - Notion Like UI to Analyse Anything - For CSVs, PDFs, Postgres Databases

github action to export notion database to csv and json

A Go tool to migrate CSV exports from Notion databases to GitHub issues.

Automates the process of syncing expenses from Inter bank invoices (CSV) to a Notion database using the Notion API.

Script that transforms a quiz in Notion Markdown format to a Notion database, to be able to export it as CSV and import it in Quizzizz.

Retrieves data from a Notion database, exports it to CSV/JSON, and analyzes tasks to generate reports with charts.

A robust, modular automated workflow designed to fetch web content, structure it into JSON, enrich it with AI classification (Gemini), save it to a Notion database, and export it to CSV. Built with Python, adhering to Clean Code principles.

A script to transfer info from HowWeFeel CSV to your Notion database.

a cli tool for uploading json and csv records to notion databases

Import calender events from a .csv-file to an existing database in Notion.

This is a simple tool to export data from a Notion database into a CSV file using the Notion API.

A project utilizing Notion API, in order to import Kindle highlights from a csv file into a custom Notion Database.

Automated TradingView CSV to Notion trading journal sync. Parse paper trading exports and push completed trades to Notion database with P/L calculations.

Script for exporting a notion database to CSV format. Originally used for migrating away from feather.so to framer CMS.

Parses through a Wikipedia page to extract table elements to be converted into a .csv format to be imported into Notion databases

Uses LLM's to find contact information about a list of given contacts & converts those to either csv or a notion database

An importer for a way of life CSV file that converts, and uploads, to a specific database in my personal notion.

Notion-integrated stock tracker built in Python that scrapes live prices from Globes, updates database entries automatically, and logs price history to CSV.

This tool automates creating a csv file that you can import into a Notion Database. I used the mit to help me do the mit.

This program reads data from a CSV file (ratings.csv) containing book name, memberName and ratings. This function processes it to calculate average ratings for each book, favorite counts, and then populates a Notion database with the results.

Create a Python script to automatically import HubSpot contact and deal exports directly into your Notion CRM database. This script handles CSV and Excel files, automatically detects file types, normalizes phone numbers, maps sources, and pushes data via the Notion API.

A robust, modular automated workflow designed to fetch web content, structure it into JSON, enrich it with AI classification (Gemini), save it to a Notion database, and export it to CSV. Built with Python, adhering to Clean Code principles.

This program reads data from a CSV file (ratings.csv) containing book name, memberName and ratings. This function processes it to calculate average ratings for each book, favorite counts,the book counts,and the total ratings.TThen populates a Notion database with the results.

The project synchronizes watched movies data between Trakt.Tv and TheMovieDB.org fetching additional movie details and serving two updated CSV local files containing the databases with this information. Additionally it can upload the data to a Watched Movies Database in Notion for a more digestable reading and aesthetic visualization.

Hi, we are very happy to have you among the candidates for the position of tutor! [Practicum by Yandex](https://practicum.yandex.com/) is an online educational platform. We help people who want to change their lives and jumpstart new careers in tech. Our team includes dozens of specialists from various fields, all working together to produce quality educational content. For our online **course** **Data Analyst** [practicum.yandex.com/data-analyst](https://practicum.yandex.com/data-analyst/) and **Data Scientist** [practicum.yandex.com/data-scientist](https://practicum.yandex.com/data-scientist/) we are looking for the experienced Data Analysts / Data Scientists. In order to be objective and to make sure that the scope of your knowledge and skills corresponds to the requirements of this job, we invite you to take a test. This is a test task for data analysis and data science specialists with experience of working with Python. Some tasks are easy, while others are a bit more difficult. If they seem a little too simple for an IT company like Yandex, don't go looking for the catch. The main objective of our course is to prepare beginners for work; keep this in mind. After you have completed the test task, we'll get in touch with you to discuss the results of this stage of the selection process. **Task 1. Working with data** [movie_metadata.csv](https://s3-us-west-2.amazonaws.com/secure.notion-static.com/fb728421-b488-45ef-9d84-61f73a1f57e5/movie_metadata.csv) To complete this task, use the data set in the attached file. Indicate the answer to each of the following steps and time to complete the entire task. 1.1. Download the data set `movie_metadata.csv`, which contains data about films from IMDb (Internet Movie Database). 1.2. The `duration` column contains data on the film length. How many missing values are there in this column? 1.3. Replace the missing values in the `duration` column with the median value for this column. 1.4. What is the average film length? Give the answer as a floating-point figure rounded to two decimal places. 1.5. How many films between 90 minutes and two hours long were released in 2008? 1.6. The `budget` column contains the film's budget. What is the median budget for all the films listed? Give the answer as an integer.