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checho.co
🎓 Anthropologist turned Data Scientist | Making data accessible for everyone | 10+ years in development M&E | 🇨🇴 | EN/ES | Writing about career change | Pythonista in training | Find me @ www.checho.co
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Strength isn't about being unbreakable. It's about being broken and continuing your story anyway. The cracks and repairs become your character, your wisdom, your art. The Japanese call it Kintsugi. Life calls it growth. #Stoicism #MentalHealth #PersonalGrowth

Python newbie tip: Opening files? Bad: file = open('data.txt') data = file.read() # Forget to close? Memory leak! Better: with open('data.txt') as file: data = file.read() # Auto-closes even if code breaks! The 'with' statement is your safety net. #Python #CodeNewbie

Want to know why some data scientists get ignored while others get promoted? The secret isn't in their code—it's in their questions. Ask better questions before touching data, and you'll solve better problems after. Your SQL is fine. Your curiosity is your superpower. #DataScience #CareerGrowth

The universe doesn't ask permission to change your plans. It just throws curveballs and watches how you swing. True power isn't in controlling the pitch—it's in adapting your stance. Keep your grip loose. Stay ready. Every wild throw is teaching you something. #Stoicism #PersonalGrowth

The best data projects aren't just about the right solution. They're also about the right moment Launch during budget season: You're strategic Launch during crisis: You're reactive Launch during success: You're enhancing Timing isn't just timing. It's strategy #DataScience #Analytics #Leadership

Think Python variables are boxes holding values? Plot twist: They're more like sticky notes pointing to stuff in memory. That's why: x = [1,2] y = x # Just adds another sticky note y.append(3) # Changes what both x and y point to Want separate lists? Use y = x.copy() #Python #CodeNewbie

The quietest wisdom isn't found in grand epiphanies or life-changing moments. It's in that split second when you catch yourself about to react, pause, and choose differently. That microscopic gap between trigger and response? That's where you become who you choose to be. #Stoicism #MentalHealth

Python newbies: Want to double every number in your list? The fancy way: list(map(lambda x: x*2, [1,2,3])) The readable way: [x * 2 for x in [1,2,3]] Both give you [2,4,6]. But the second one you'll actually understand next week. #Python #CodeNewbie #100DaysOfCode

Dear Python beginner: Classes look scary at first - like algebra did in school. Start with lists, functions, and loops. Get comfortable there. Classes are like level 2 of the game. You'll know when you're ready- when basic tools feel too limiting. No rush. Learn at your pace. #Python #CodeNewbie

Ever notice how diamonds don't start out sparkly? They're just carbon that refused to crack under pressure. Chose to transform instead of break. Your struggles aren't breaking you - they're revealing your brilliance. Keep pressing on. That's where the magic happens. #Stoicism #PersonalGrowth

🧵 Breaking free from the "Data Service Desk" trap: A guide for analysts who want to be seen as strategic partners. 1/ If you're a data analyst being treated like a ticket machine, it's time for a radical change. Here's how to transform from "report factory" to "strategic advisor" 👇 #DataAnalytics

Being a person with deadly, incurable cancer who is nonetheless still alive for an indefinite timeframe gives me an interesting metaphor that helps me deal with things like large-scale corruption in government or commerce. Bear with me for a second while I try to explain.

The biggest lie in data science isn't 'the model will be done tomorrow.' It's 'I know exactly what the business wants.' 90% of project failures happen in translation, not execution. Ask questions until they're annoyed, then ask three more. Better awkward now than sorry later. #DataScience

Your data pipeline is like a recipe: If you wouldn't feed it to your family, don't serve it to others. "Quick fixes" and "creative solutions" might look tasty, but they poison the whole dish. Ethics isn't a garnish—it's the main ingredient. #DataScience #Ethics #Analytics

Need to loop through a list AND track position? Beginner way: fruits = ['apple', 'banana'] for i in range(len(fruits)): print(f"#{i}: {fruits[i]}") Pro way: for i, fruit in enumerate(fruits): print(f"#{i}: {fruit}") Pro tip: Want to start at 1? enumerate(fruits, start=1) #Python #CodeNewbie

Your worth isn't measured by the mountains you've conquered, but by the hills you climb every day. Those small victories - getting up, showing up, not giving up - they're not just steps. They're the journey. And you're already walking it. #Stoicism #MentalHealth #PersonalGrowth

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🦹‍♂️ EVIL DATA SCIENTIST DIARY - ENTRY #472 #VillainLife 1/6 Just acquired a fresh batch of SSNs *adjusts evil monocle. Did you know the first 3 digits can tell me if you're from a big state, a small state, or even if you're an immigrant with enumeration-at-entry? Data villains love patterns!

Ever notice how stakeholders treat data like a buffet? They pick what supports their view, ignore what doesn't, then ask for seconds of the good stuff. Your job isn't to be the chef - it's to be the nutritionist. Guide them toward a balanced diet of insights. #DataScience #Analytics

Evil isn't some grand villain in a castle plotting world domination. It's the small compromises we justify. The truths we ignore. The wrongs we excuse because they're convenient. Heroes aren't born in epic battles, but in tiny choices made when no one's watching. #Stoicism #MentalHealth

Data privacy isn't just about protecting information—it's about protecting lives. When data falls into wrong hands, people suffer: survivors exposed, activists targeted, communities exploited. Privacy is a human right. #DataPrivacy #Privacy #HumanRights

Every data project scope creep starts with: "Just one small addition..." That's how your 2-day dashboard becomes a 2-month enterprise solution. Learn to say: "Happy to help! Let's schedule a quick chat to scope this properly and adjust timelines." Boundaries save careers. #DataScience #Analytics

1/7 F-strings in Python are like having a smart friend who: • Knows what you're thinking • • Finishes your sentences • Makes you look good with minimal effort Let's explore why they're the future of string formatting. #Python #CodeNewbie

Lucky people" aren't lucky. They just show up so much that the odds get embarrassed and switch sides. Plot twist: Success isn't about being in the right place at the right time. It's about being in so many places that time runs out of wrong ones. #Stoicism #MentalHealth #PersonalGrowth

Dark times are like walking through a tunnel - the darkness feels endless, but tunnels don't lie: If you keep moving forward, you'll reach the exit eventually. That's not optimism. That's reality. Trust the path. Keep walking. #Stoicism #MentalHealth #PersonalGrowth

Everyone's rushing to implement AI in their business while their data sits in legacy systems, duplicate records, and Excel sheets with more NULL values than actual data named "FINAL_FINAL_v3_ACTUALLY_FINAL.xlsx" #AI #DataQuality #Tech #DataScience

Your Python project is like a kitchen: Keep it clean, organized, and don't let dependencies from other recipes sneak in. That's why virtual environments exist. They're not extra work—they're your 'this recipe won't get ruined by that other experiment' guarantee. #Python #CodeNewbie #100DaysOfCode

Every data scientist faces that moment: The data's messy, the deadline's tomorrow, and there's an easy way to make it all 'work.' That's not when your ethics matter most. That's when you find out if you had any to begin with. #DataScience #Ethics #DataEthics

Success isn't a destination on Google Maps… There's no "you have arrived" voice. Just endless roundabouts of growth, unexpected detours of learning, and pit stops of reflection. The journey is the destination. Enjoy the ride. #Stoicism #MentalHealth #PersonalGrowth

Fun fact: Excel is the world's most popular creative writing platform. Plot twist: The main characters are always numbers, and the conflict is trying to explain why they don't match the forecast. #DataScience #Analytics #CorporateLife