ticker_selection_BI_dashboard
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| ticker_selection_BI_dashboard | dados-censup | |
|---|---|---|
| 2 | 1 | |
| 2 | 6 | |
| - | - | |
| 10.0 | 4.9 | |
| over 1 year ago | 3 months ago | |
| Python | Python | |
| GNU General Public License v3.0 only | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
ticker_selection_BI_dashboard
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What aspects of Python should I learn that are most important for Data Engineering?
Github Tickers Selection Dashboard LINK
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How did you learn to code python?
I did something similar, using python libraries to get data from yahoo finance store in a SQL Database and then connect the SQL database to PowerBI to visualise some specific ratio of selected companies, I can share the github here: Github Repo link
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What are some alternatives?
ACE-World-16PY-Patches - World Database Releases for ACEmulator. This repo uses ACE-World-16PY as the base and combines it with patches to create the complete World.
pyspark-example-project - Implementing best practices for PySpark ETL jobs and applications.
Library-Workbench - A Library management system based on python front-end and MySQL back-end
workshop-introduction-to-machine-learning - Come ready to discover the goals and approaches of machine learning, and how to build effective algorithms and solutions!
covid-19-outbreak-paths - Projects to explore detailed outbreak paths. Mostly dataviz using Power BI
pgcli - Postgres CLI with autocompletion and syntax highlighting
mypy - Optional static typing for Python
hamilton - Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.
Mage - 🧙 The modern replacement for Airflow. Mage is an open-source data pipeline tool for transforming and integrating data. https://github.com/mage-ai/mage-ai
uber-expenses-tracking - The goal of this project is to track the expenses of Uber Rides and Uber Eats through data Engineering processes using technologies such as Apache Airflow, AWS Redshift and Power BI.
dagster - An orchestration platform for the development, production, and observation of data assets.
data-science-notes - Notes of IBM Data Science Professional Certificate Courses on Coursera