The Dataquest Download
Level up your data and AI skills, one newsletter at a time.
Why Learn Python Next
Hello, Dataquesters!
For the last six editions, we’ve been talking about SQL. In this edition, I’m excited to talk about Python. Building on the skills you’ve developed with SQL, Python offers a powerful tool to take your data analysis to the next level.
My own journey learning Python began with an earlier version of Dataquest’s intro course, when I was a Dataquest learner myself. I was amazed at how this decision opened up new opportunities for me, ultimately leading to my current role overseeing Python course development at Dataquest.
You may be wondering, “Why Python?” The answer is simple: Python has become a cornerstone of data science and analysis. Its popularity has grown significantly, especially with recent advancements in AI and machine learning. Now is the perfect time to learn Python.
Don’t worry if you’re feeling intimidated; Python is actually quite beginner-friendly when learning with Dataquest. We’ll start with the basics: variables, data types, and lists. If you’ve enjoyed working with SQL to query and manipulate data, you’ll find Python to be a natural extension. Python’s powerful libraries and tools make it easy to write programs that can retrieve and analyze data, providing deeper insights.
In fact, one of the things I love most about Python is how it complements SQL skills. While SQL is fantastic for querying databases and handling large datasets, Python excels in data manipulation, analysis, and visualization. Together, they form a powerful combination. At Dataquest, we often use SQL to extract data from our databases, then use Python to perform complex analyses and create insightful visualizations.
Python’s versatility is impressive. For example, I recently wrote a Python script to automate the process of writing prerequisites for Dataquest courses. This simple script saved me hours of manual work – and that’s the beauty of Python. It’s not just about crunching numbers; it’s about making your work more efficient. You can use Python to automate tasks, build web scrapers, or even create games.
As we discuss Python throughout the next few newsletters, I want to emphasize that anyone can learn Python, regardless of their background. Whether you’re a complete beginner or coming from another programming language, Python’s clear syntax and supportive community (especially here at Dataquest!) make it accessible to all.
To get started, I recommend checking out our Introduction to Python Programming course. It’s designed to give you a solid foundation, covering everything from basic concepts to practical applications in data science. Start by focusing on understanding variables, data types, and lists – these fundamental building blocks will set you up for success as you progress.
Remember, learning Python is about opening doors to new possibilities in your data career. Whether you’re interested in data analysis, machine learning, or even AI development, Python is your gateway to these exciting fields.
In the coming weeks, we’ll be sharing more Python-focused content and learning opportunities. In the meantime, give Python a shot if you haven’t already. I’m confident you’ll discover the versatility of Python for yourself.
Happy coding, Dataquesters!
Casey
|
In this beginner-friendly course, you’ll learn the fundamentals of Python programming – no prior coding experience needed. By the end, you’ll be able to write basic Python programs. This self-paced course consists of 4 lessons and takes only 3 hours to complete.
|
What We're Reading
📖 Why 90% of People Quit Learning Programming
Many quit programming due to its difficulty and boredom. Passive learning, like watching videos, often frustrates. Instead, learn by doing hands-on projects and setting personal goals. This approach makes learning more engaging and effective. Read more
📖 Generative AI vs. Predictive AI
Understand the key differences between generative and predictive AI, helping you choose the right AI for your projects. Perfect for boosting AI knowledge. Read more
📖 Milton: An AI-Powered Pixel Art Game
Explore “Milton,” an AI-powered pixel art game combining image recognition with AI responses. The game is open-source and offers insights into AI personality development in gaming. Read more
📖 Introducing Llama 3: Groq Tool Use Models
Groq (not to be confused with Elon’s “Grok” on X!) released new open-source models for advanced tool use. An exciting development for the open-source community. Read more
What's new
Give 20% Get $20
Now is the perfect time to share Dataquest with a friend. Gift a 20% discount, and for every friend who subscribes, earn a $20 bonus. Use your bonuses for digital gift cards, prepaid cards, or donate to charity. Your choice! Click here
Community highlights
Project Spotlight
Sharing and reviewing others’ projects is one of the best things you can do to sharpen your skills. Twice a month we will share a project from the community. The top pick wins a $20 gift card!
This edition, we spotlight Bashar Kabalan‘s PostgreSQL project on Building a database for crime reports, which stands out for its capturing and funny narrative, detailed code documentation, and fascinating figures that demonstrate Bashar’s decision-making process.
|
Want your project in the spotlight? Share it in the community. |
|
Learner Tip of the Week
|
High-fives from Vik, Celeste, Casey, Anna P, Anna S, Anishta, Bruno, Elena, Mike, Daniel, and Brayan.