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Epython Lab
Welcome to Epython Lab, where you can get resources to learn, one-on-one trainings on machine learning, business analytics, and Python, and solutions for business problems.

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Son Güncelleme 11.03.2025 07:47

Epython Lab tarafından Telegram'da paylaşılan en son içerikler

Epython Lab

30 Dec, 16:04

885

A step-by-step tutorial on how to build and publish your Python library https://youtu.be/ZQlDrNvQn6Y



Join our telegram https://t.me/epythonlab



Subscribe to our YouTube https://youtube.com/epythonlab
Epython Lab

28 Dec, 15:56

734

Learn genetic algorithms by solving Fibonacci sequences

https://www.youtube.com/watch?v=9M4ETVngWy4&list=PL0nX4ZoMtjYHV6n2-0taITMZlrd23hKL1&index=2
Epython Lab

28 Dec, 08:25

646

🌟𝘿𝙖𝙮 25/100: 𝙐𝙣𝙙𝙚𝙧𝙨𝙩𝙖𝙣𝙙𝙞𝙣𝙜 𝙀𝙩𝙝𝙞𝙤𝙥𝙞𝙖𝙣 𝙁𝙞𝙣𝙩𝙚𝙘𝙝 🌟



Ethiopia's fintech ecosystem is a mix of challenges and opportunities. 📈🌍

From low formal banking penetration to an increasingly digital population, it’s clear that innovation in financial services is critical.



Key insights from my research today:

- Low banking penetration but high mobile adoption: Over 75% of transactions are cash-based, yet mobile payment systems like Telebirr are gaining traction.

- Regulatory frameworks: Ethiopia’s regulatory approach emphasizes financial inclusion but poses innovation challenges, especially for Buy-Now-Pay-Later services.

- Unique consumer behaviors: The dominance of informal financial systems and cash reliance shapes how Ethiopians engage with digital financial services.



💡 Question of the day: How can fintech drive financial literacy in Ethiopia to accelerate digital adoption?



#FintechAfrica #Ethiopia #Buy-Now-Pay-Later #FinancialLiteracy #DigitalTransformation
Epython Lab

27 Dec, 07:25

671

🌟𝘿𝙖𝙮 24/100: 𝙉𝙚𝙭𝙩 𝙎𝙩𝙚𝙥𝙨 𝙛𝙤𝙧 𝘾𝙚𝙣𝙩𝙧𝙖𝙡𝙞𝙯𝙚𝙙 𝙀-𝙘𝙤𝙢𝙢𝙚𝙧𝙘𝙚🌟



I'm moving closer to deploying a centralized e-commerce platform for Ethiopia.



Next steps:

1️⃣ Integrating XLM-Roberta for real-time entity extraction.

2️⃣ Expanding the dataset for even better performance.

3️⃣ Collaborating with vendors to enrich product listings.



💡 Takeaway: NLP-driven platforms like central e-commerce can redefine how e-commerce works in Ethiopia.



💡 Discussion: How can we scale similar platforms for other underrepresented markets?

#AI #ECommerce #FintechAfrica #Amharic
Epython Lab

26 Dec, 06:55

635

I am excited to share with you the Python Programming for Beginners roadmap

Basic Python Programming: https://youtu.be/ISv6XIl1hn0

Data Structures with Projects full tutorial for beginners
https://www.youtube.com/watch?v=lbdKQI8Jsok

OOP in Python - beginners Crash Course https://www.youtube.com/watch?v=I7z6i1QTdsw

Join #epythonlab https://t.me/epythonlab

Join https://t.me/epythonlab for more learning resources
Epython Lab

26 Dec, 05:13

677

🌟 𝘿𝙖𝙮 23/100: 𝙏𝙧𝙪𝙩𝙝 𝙤𝙧 𝙇𝙞𝙚: 𝙉𝙖𝙫𝙞𝙜𝙖𝙩𝙞𝙣𝙜 𝙅𝙤𝙗 𝙄𝙣𝙩𝙚𝙧𝙫𝙞𝙚𝙬𝙨 🌟

This morning, I received an exciting email: "Interview Invitation: AI Python and .NET Developer."

While I’m proficient in AI Python and have tackled many projects, .NET isn’t in my skill set. I faced a dilemma:

Exaggerate my expertise?
Or be honest about my strengths and gaps?
I chose truth. I emphasized my Python expertise and willingness to learn .NET.

💡 Lesson: Honesty builds trust and keeps doors open for the right opportunities.

Have you faced a similar situation? Let’s discuss in the comments! 🙌
Epython Lab

25 Dec, 15:01

670

Build Secure Password Generator: Tkinter Project https://www.youtube.com/watch?v=5XpcnqhgikM
Epython Lab

25 Dec, 05:49

666

📢𝘿𝙖𝙮 22/100: 𝙏𝙝𝙚 𝙑𝙖𝙡𝙪𝙚 𝙤𝙛 𝘾𝙚𝙣𝙩𝙧𝙖𝙡𝙞𝙯𝙚𝙙 𝘿𝙖𝙩𝙖

Why is centralizing e-commerce data critical for Ethiopia?



- For vendors: Better visibility and reach.

- For customers: Streamlined product discovery.

- For analytics: Real-time insights into market trends.



💡 Question: What are the key challenges to centralizing data in emerging markets?

#ECommerce #DigitalTransformation #Ethiopia
Epython Lab

24 Dec, 07:57

664

Learn Object Oriented in Python - beginners Crash Course https://www.youtube.com/watch?v=I7z6i1QTdsw

Help us fill out this survey https://forms.gle/vEppeY3yy3WQeUx86

Join https://t.me/epythonlab
Epython Lab

24 Dec, 06:26

650

📢𝗗𝗮𝘆 𝟮𝟭/𝟭𝟬𝟬: 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴 𝗔𝗺𝗵𝗮𝗿𝗶𝗰 𝗡𝗘𝗥 𝗠𝗼𝗱𝗲𝗹𝘀

I fine-tuned models on 27,989 labeled examples, optimizing key parameters:

- Learning rate: Experimented to find the sweet spot.

- Batch size: Limited to 16 to manage memory constraints.

- Metrics: Focused on precision, recall, and F1-score.



💡 Finding: Smaller batches helped balance performance and computational efficiency.

💡 Question: How do you optimize parameters for low-resource NLP tasks?

#AI #ModelTraining #Ethiopia #NLP