Happy Friday, friends! Our latest episode of the Designated Driver podcast is here just in time for happy hour! Join us in exploring Shillelagh, a Python library built just for Apache Superset, letting you easily explore all sorts of data sources with SQL! https://hubs.ly/Q02DMr5Z0 https://hubs.ly/Q02DMkvK0
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Quarto makes it spectacularly easy to create dashboards with your favorite data science language. 🥳 Whether you're into R, Python, OJS or Julia, you can create dashboards through the same easy framework. 👌 And in my newest YT tutorial I show you how that works. You can find it at https://smpl.is/93jmk
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A GitHub repo with *free* APIs and 309,000 stars: The Public APIs repository includes an extensive list of public APIs from many domains that you can use for your own products. Grab it here: https://lnkd.in/dwscFHA Looking to start using Python for market data analysis? Here's a free Ultimate Guide with everything you need to get started. Join the 1,000s of people who finally started with Python after reading it: https://lnkd.in/ex4MrNWP
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Interning at Goldman Sachs(Engineering Division) & Deutsche Bank (IB: FIC Markets Division) Interned at Morgan Stanley(Institutional Equities & Technology Division) & Bank of America(Global Technology Division)
Python is highly beneficial for market data analysis due to its extensive libraries and frameworks that streamline data manipulation, statistical analysis, and machine learning. It allows for efficient data processing, visualization, and automation, making it easier to derive meaningful insights and make informed decisions.
A GitHub repo with *free* APIs and 309,000 stars: The Public APIs repository includes an extensive list of public APIs from many domains that you can use for your own products. Grab it here: https://lnkd.in/dwscFHA Looking to start using Python for market data analysis? Here's a free Ultimate Guide with everything you need to get started. Join the 1,000s of people who finally started with Python after reading it: https://lnkd.in/ex4MrNWP
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Experienced Technology Professional Skilled in Architecting Technical Solutions | API Gateways, Open AI, Python, HTML, CSS, Data Engineering and Machine Learning Engineering
🚀 Excited to level up your data visualization skills in Python? Check out this comprehensive tutorial on using the seaborn library to create impressive statistical analysis plots. You'll learn to make informed judgments, work with seaborn's functional and object interfaces, and create stunning visualizations. Dive in and take your Python plots to new heights! Read the full article [here](https://ift.tt/jru5PEb).
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📺🐍 pandas GroupBy: Grouping Real World Data in Python In this course, you'll learn how to work adeptly with the pandas GroupBy while mastering ways to manipulate, transform, and summarize data. You'll work with real-world datasets and chain GroupBy methods together to get data into an output that suits your needs https://lnkd.in/dbhBB5cV
pandas GroupBy: Grouping Real World Data in Python – Real Python
realpython.com
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🐼 Level Up Your Pandas Game with our Handy Cheat Sheet! 🚀📊 Dive into the world of data manipulation like a pro using Pandas! 🐍💡 Our comprehensive cheat sheet is packed with quick references, tips, and tricks to streamline your data analysis workflows. 📌 Grab your free copy and elevate your Pandas skills today! 💻🔗 #Pandas #DataAnalysis #Python #CodingTips #DataScience #CheatSheet
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How do you automate your data-pipeline workflows? Shaw Talebi walks us through two powerful approaches, and focuses on using Python in conjunction with GitHub Actions.
Automating Data Pipelines with Python & GitHub Actions
towardsdatascience.com
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Data Scientist | Navigating Data with ML, DL, and Generative AI | Crafting Intelligent Solutions for Complex Challenges | Passionate about Pioneering Innovations and Impactful Analytics | Open to Exciting Opportunities
🚀 Day 3 of #100_days_of_python_programming is here! 🐍 Today's Agenda: 🔹 Python Strings: Delve into the world of text manipulation and unleash the power of Python strings! Excited to dive deeper into Python with you all! Stay tuned for daily insights and challenges. Remember, every line of code brings us closer to mastery! 💪 GitHub: https://lnkd.in/dgB6bGeJ #100_days_of_python_programming #Day3 #PythonJourney #CodingCommunity #LearnToCode 🚀 Ready to conquer Python strings? Drop a ❤️ if you're in, and let's code! 🚀
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My third week journey at Digital Skola's Bootcamp Data Analytics has been incredibly impactful! Embracing new challenges and learnings with Faldi Sulistiawan, we delved into the world of Python – from introduction and fundamentals to basic functions, conditions, looping functions, and even basic DataFrame manipulation using pandas. Eager to dive deeper into Python's capabilities! Check out a glimpse of my insights in the attached file. 🚀💻 #DataAnalyst #PythonSkills #BootcampDataAnalytics #FastTrackDataAnalyticsScholarship #DigitalSkola
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👩🏫 Meet Our Expert Instructor Jordy 👨🏫 At our data explorers academy, Jordy Vercammen will not only immerse you in the inner workings of Looker but also in our custom Python for Analytics course. Created specifically to equip you with a solid intermediate level in python and tackle analytics use cases like embedded analytics, data handling and data visualization. 🔗 Discover more at https://hubs.li/Q02HC0nB0 #ExpertInstructors #Looker #Python #AnalyticsEngineering #DataExplorers
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