Why are MBAs Learning Python? - Learn to code in 30 Days!
Why are MBAs Learning Python? - Learn to code in 30 Days!
2022年10月14日
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What is Python Used For? 7 Practical Uses for Python | Code Institute Code Institute Global
What is Python Used For? 7 Practical Uses for Python | Code I…
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K Codes on Instagram: "Manually opening and closing files is asking for disaster. All it takes is one error between the open and close lines, and your program crashes while the file stays locked in memory. That’s a resource leak. That’s how you crash your production. In Python, we use Context Managers (the with statement). It handles the teardown for you. Automatically. Instantly. Even if your code throws an exception, the file gets closed safely. 💡 Save this reel to ace your next techni
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K Codes on Instagram: "Manually opening and closing files is askin…
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Phoebe | Data Analyst & Fantasy Reader 📚 on Instagram: "These 3 projects will help you practice the skills hiring managers actually care about & and give you something to show off in interviews 👇 1️⃣ Customer Insights Dashboard Use Excel or Power BI to track customer behaviour, trends, and top products. Focus on visual clarity and storytelling: this one shows off your ability to turn messy data into business impact 2️⃣ Sales Performance Tracker Use SQL + Excel to pull data (use resources like
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Phoebe | Data Analyst & Fantasy Reader 📚 on Instagram: "These 3 pr…
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Marina Fujiwara on Instagram: "Arduino UNO Q、日本で技適通った🎉ということでいただきました✌️ Python動くArduinoはかなりの最強ぶり！ 私はこれで「部屋が汚いという現実を見えなくする装置」を作ります。 Arduino UNO Q just got certified for use in Japan 🎉 So… it arrived. An Arduino that can run Python?? That feels a little too powerful. I’m going to use this to build a device that makes the reality of my messy room invisible. Probably not useful. Probably fun. #Arduino #UNOQ #CreativeCoding #sponsored_by_arduino"
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Marina Fujiwara on Instagram: "Arduino UNO Q、日本で技適通っ …
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Stop running your I/O-bound tasks sequentially. If your script is waiting for APIs, databases, or files, you can make it 10x faster with one change. 👇 1️⃣ The Slow Way: Synchronous Loops 👉 A standard for loop makes one request, waits for it to finish, then makes the next one. If each call takes 1 second, 100 calls take 100 seconds. This is hugely inefficient. 2️⃣ The Fast Way: Asynchronous Code 👉 Use Python’s asyncio library. It allows you to start an operation (like an API call) and then mov
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Stop running your I/O-bound tasks sequentially. If your script is waiti…
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