GitHub - PyFPDF/fpdf2: Simple PDF generation for Python
https://github.com/PyFPDF/fpdf2
https://github.com/PyFPDF/fpdf2
GitHub
GitHub - PyFPDF/fpdf2: Simple PDF generation for Python
Simple PDF generation for Python. Contribute to PyFPDF/fpdf2 development by creating an account on GitHub.
How to Handle Large Datasets in Python | by Leonie Monigatti | Jul, 2022 | Towards Data Science
https://towardsdatascience.com/how-to-handle-large-datasets-in-python-1f077a7e7ecf
https://towardsdatascience.com/how-to-handle-large-datasets-in-python-1f077a7e7ecf
Medium
How to Handle Large Datasets in Python
A Comparison of CSV, Pickle, Parquet, Feather, and HDF5
Подборка бесплатных Python курсов от @python_powerbi
https://telegra.ph/Podborka-besplatnyh-Python-kursov-08-01
https://telegra.ph/Podborka-besplatnyh-Python-kursov-08-01
Telegraph
Подборка бесплатных Python курсов
Подписывайтесь на мой канал https://t.me/python_powerbi Youtube - Обработка и анализ данных на Python. Библиотека Pandas Урок 1. Обработка и анализ данных на Python. Знакомство с Pandas. Установка окружения Урок 2. Обработка и анализ данных на Python. Чтение…
Forwarded from Apache Superset BI
Подборка видео по разработке Custom Visualization в Apache Superset
🔹 #1. Apache Superset Building Custom Visualization Plugin-Install Superset-UI
🔹 #2. Apache Superset Building Custom Visualization Plugin-Install Yeoman & the Superset Package Generator
🔹 #3. Apache Superset Building Custom Visualization Plugin-Building Hello World Plugin
🔹 #4. Apache Superset Building Custom Visualization Plugin-Add your Plugin to Superset
@apache_superset_bi
🔹 #1. Apache Superset Building Custom Visualization Plugin-Install Superset-UI
🔹 #2. Apache Superset Building Custom Visualization Plugin-Install Yeoman & the Superset Package Generator
🔹 #3. Apache Superset Building Custom Visualization Plugin-Building Hello World Plugin
🔹 #4. Apache Superset Building Custom Visualization Plugin-Add your Plugin to Superset
@apache_superset_bi
Forwarded from Data Engineering / Инженерия данных / Data Engineer / DWH
🔥 Awesome Docker Compose samples
These samples provide a starting point for how to integrate different services using a Compose file and to manage their deployment with Docker Compose.
👉 @devops_dataops
https://github.com/docker/awesome-compose
These samples provide a starting point for how to integrate different services using a Compose file and to manage their deployment with Docker Compose.
👉 @devops_dataops
https://github.com/docker/awesome-compose
GitHub
GitHub - docker/awesome-compose: Awesome Docker Compose samples
Awesome Docker Compose samples. Contribute to docker/awesome-compose development by creating an account on GitHub.
Streamlit — The fastest way to build data apps in Python
https://github.com/streamlit/streamlit
Пример с хабра Streamlit. Поиск кратчайшего пути
https://github.com/streamlit/streamlit
Пример с хабра Streamlit. Поиск кратчайшего пути
GitHub
GitHub - streamlit/streamlit: Streamlit — A faster way to build and share data apps.
Streamlit — A faster way to build and share data apps. - streamlit/streamlit
Пишем Telegram-ботов на Python (v2)
В этой, обновлённой версии книги, мы будем использовать библиотеки aiogram и Telethon, а также разберёмся с некоторыми интересными подходами к обеспечению работы Telegram-ботов.
👉 @python_powerbi
https://mastergroosha.github.io/telegram-tutorial-2/
В этой, обновлённой версии книги, мы будем использовать библиотеки aiogram и Telethon, а также разберёмся с некоторыми интересными подходами к обеспечению работы Telegram-ботов.
👉 @python_powerbi
https://mastergroosha.github.io/telegram-tutorial-2/
Домашняя страница Груши
Книги по Telegram-ботам на aiogram
Обо мне и моих проектах
GitHub - vizzuhq/ipyvizzu: Build animated charts in Jupyter notebook with a simple Python synthax.
https://github.com/vizzuhq/ipyvizzu
https://github.com/vizzuhq/ipyvizzu
GitHub
GitHub - vizzuhq/ipyvizzu: Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax.
Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax. - vizzuhq/ipyvizzu
Примеры ipyvizzu здесь
https://ipyvizzu.vizzuhq.com/examples/examples.html
https://ipyvizzu.vizzuhq.com/examples/examples.html