#пятница
Немного английского в ленту 🦠

Перевод текста с помощью Google Translate API в Python
https://dev-gang.ru/article/perevod-teksta-s-pomosczu-google-translate-api-v-python-ahgm88wx1k/

Примеры визуализации
https://miro.com/app/board/o9J_kr3cvUM=/

Send Data Alert with Python SMTP - Towards Data Science
https://towardsdatascience.com/send-data-alert-with-python-smtp-efb9ee08077e

ETL процесс получения данных из электронной почты в Apache Airflow / Хабр
https://habr.com/ru/post/495676/

Что такое корпоративное хранилище данных (DWH): основы Big Data
https://www.bigdataschool.ru/bigdata/lsa-data-warehouse-architecture.html

Создание Telegram Бота с Webhook'ом на Python 3. Создание тестового приложения на Flask и его загрузка на хостинг PythonAnyWhere. Решение проблемы с использованием SSL-сертификатов.

https://youtu.be/QmGYc7aWpd4

Деплой Telegram Python бота на Heroku.
Пример как выложить созданного телеграм бота на сервер.
https://youtu.be/B72-sZyiW10

Thinking in Pandas How to Use the Python Data Analysis Library the Right Way by Hannah Stepanek 2020.pdf

What You Will Learn
📌 Understand the underlying data structure of pandas and why it performs the way it does under certain circumstances
📌 Discover how to use pandas to extract, transform, and load data correctly with an emphasis on performance
📌 Choose the right DataFrame so that the data analysis is simple and efficient.
📌 Improve performance of pandas operations with other Python libraries

Full Stack Python is an open source book that explains technical concepts in plain language. Read everything online for free

https://www.fullstackpython.com/

Hands-On Data Science with Anaconda. Yuxing Yan, James Yan. 2018 EPUB

Anaconda is an open source platform that brings together the best tools for data science professionals with more than 100 popular packages supporting Python, Scala, and R languages. Hands-On Data Science with Anaconda gets you started with Anaconda and demonstrates how you can use it to perform data science operations in the real world.

The book begins with setting up the environment for Anaconda platform in order to make it accessible for tools and frameworks such as Jupyter, pandas, matplotlib, Python, R, Julia, and more. You’ll walk through package manager Conda, through which you can automatically manage all packages including cross-language dependencies, and work across Linux, macOS, and Windows. You’ll explore all the essentials of data science and linear algebra to perform data science tasks using packages such as SciPy, contrastive, scikit-learn, Rattle, and Rmixmod.

Pro Power Bi Desktop: Self-service Analytics and Data Visualization for the Power User. Adam Aspin. 2020

What You Will Learn
🏷 Deliver attention-grabbing information, turning data into insight
🏷 Find new insights as you chop and tweak your data as never before
🏷 Build a data narrative through interactive reports with drill-through and cross-page slicing
🏷 Mash up data from multiple sources into a cleansed and coherent data model
🏷 Build interdependent charts, maps, and tables to deliver visually stunning information
🏷 Create dashboards that help in monitoring key performance indicators of your business
🏷 Adapt delivery to mobile devices such as phones and tablets

Clark Dan. Beginning Microsoft Power BI: A Practical Guide to Self-Service Data Analytics.pdf

What You Will Learn:
🏷 Simplify data discovery, association, and cleansing
🏷 Build solid analytical data models
🏷 Create robust interactive data presentations
🏷 Combine analytical and geographic data in map-based visualizations
🏷 Publish and share dashboards and reports