Safaricom Ethiopia has now hit over 15 million active subscribers, less than four years after launching.

Its network now covers about 60% of Ethiopia’s population.

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Tesla has launched its Cybercab in Austin, Texas.

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CLOUD AND DEVOPS

What is Docker ?

1 • Development

Lets say You created an Application
And that's working fine in your machine

2 • Production

But in Production it doesn't work properly
Developers experince it a lot

3 • That is when the Developer's famous words are spoken

Client - Your application is not working 😡

Developer - It's working on my Machine 😒

4 • The Reason could be due to:

• Dependencies
• Libraries and versions
• Framework
• OS Level features
• Microservices

That the developers machine has but not there in the production environment

5 • DOCKER

We need a standardized way to package the application with its dependencies and deploy it on any environment.
Docker is a tool designed to make it easier to create, deploy, and run applications by using containers.

So it will always work the same regardless of its environment

6 • How Does Docker Work?

Docker packages an application and all its dependencies in a virtual container that can run on any Linux server.

7 • Each container runs as an isolated process in the user space and take up less space than regular VMs due to their layered architecture.

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Data Analytics Tools

Breaking into Data Analysis can be very confusing!

Should I learn SQL or NoSQL? Tableau or Power BI? Excel or Google Sheets? Python or R?

Fundamental principles are more important than tools:

Understanding data cleaning and preprocessing is more important than SQL vs NoSQL.

Understanding data visualization concepts is more important than Tableau vs Power BI.

Understanding statistical analysis is more important than Excel vs R.

Understanding programming for data manipulation is more important than Python vs R.

Knowing these will allow you to pick up new emerging tools easily.

Stick to fundamentals first.

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I'm sure people here have never used Stack Overflow 🥲😹

💡 Here are 5 passive income ideas for developers👨🏻‍💻 -

1. Build and Sell Apps or Plugins 🛠📱
Create a simple app, browser extension, or WordPress plugin. Publish it, set a price, and let the downloads roll in! 💵

2. Launch an Online Course 🎓💻
Share your coding wisdom! Record tutorials on platforms like Udemy or Gumroad, and earn every time someone enrolls. 📚✨

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Document your expertise in a programming language or framework. Publish it on Amazon or Leanpub and watch the royalties stack up. 📘💸

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Data Science Roadmap

𝗟𝗲𝗮𝗿𝗻 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘 (𝗡𝗼 𝗦𝘁𝗿𝗶𝗻𝗴𝘀 𝗔𝘁𝘁𝗮𝗰𝗵𝗲𝗱)

𝗡𝗼 𝗳𝗮𝗻𝗰𝘆 𝗰𝗼𝘂𝗿𝘀𝗲𝘀, 𝗻𝗼 𝗰𝗼𝗻𝗱𝗶𝘁𝗶𝗼𝗻𝘀, 𝗷𝘂𝘀𝘁 𝗽𝘂𝗿𝗲 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴.

𝗛𝗲𝗿𝗲’𝘀 𝗵𝗼𝘄 𝘁𝗼 𝗯𝗲𝗰𝗼𝗺𝗲 𝗮 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘:

1️⃣ Python Programming for Data Science → Harvard’s CS50P
The best intro to Python for absolute beginners:
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↬ Designed to help you build foundational coding skills.

Link: https://cs50.harvard.edu/python/

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2️⃣ Statistics & Probability → Khan Academy
Want to master probability, distributions, and hypothesis testing? This is where to start:
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↬ Exercises to test your skills.

Link: https://www.khanacademy.org/math/statistics-probability

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3️⃣ Linear Algebra for Data Science → 3Blue1Brown
↬ Learn about matrices, vectors, and transformations.
↬ Essential for machine learning models.

Link: https://www.youtube.com/playlist?list=PLZHQObOWTQDMsr9KzVk3AjplI5PYPxkUr

4️⃣ SQL Basics → Mode Analytics
SQL is the backbone of data manipulation. This tutorial covers:
↬ Writing queries, joins, and filtering data.
↬ Real-world datasets to practice.

Link: https://mode.com/sql-tutorial

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5️⃣ Data Visualization → freeCodeCamp
Learn to create stunning visualizations using Python libraries:
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↬ Step-by-step projects included.

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6️⃣ Machine Learning Basics → Google’s Machine Learning Crash Course
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8️⃣ Data Science Projects → Kaggle
↬ Compete in challenges to practice your skills.
↬ Great way to build your portfolio.

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All the best 👍👍

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📚40 Windows Command Prompt commands you need to know📚

1. ipconfig
2. ipconfig /all
3. findstr
4. ipconfig /release
5. ipconfig /renew
6. ipconfig /displaydns
7. clip
8. ipconfig /flushdns
9. nslookup
10. cls
11. getmac /v
12. powercfg /energy
13. powercfg /batteryreport
14. assoc
15. chkdsk /f
16. chkdsk /r
17. Follow Coding Army
17. sfc /scannow
18. DISM /Online /Cleanup /CheckHealth
19. DISM /Online /Cleanup /ScanHealth
20. DISM /Online /Cleanup /RestoreHealth
21. tasklist
22. taskkill
23. netsh wlan show wlanreport
24. netsh interface show interface
25. netsh interface ip show address | findstr "IP Address"
26. netsh interface ip show dnsservers
27. netsh advfirewall set allprofiles state off
28. netsh advfirewall set allprofiles state on
29. ping
30. ping -t
31. tracert
32. tracert -d
33. netstat
34. netstat -af
35. netstat -o
36. netstat -e -t 5
37. route print
38. route add
39. route delete
40. shutdown /r /fw /f /t 0

Command 40:
*Details:*
The command shutdown /r/fw/f/t 0 restarts the computer immediately and forces it to boot directly into the BIOS or UEFI firmware settings, bypassing the normal Windows startup process. It's a convenient way to access your firmware settings without having to repeatedly press a specific key during startup (like Del, F2, F10, F12, Esc, etc., which vary depending on the motherboard manufacturer.

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HOW TO LEARN POWER BI IN 2026 👇👇

🔺Get Familiar with Basics: Start by understanding the basics of Power BI, such as data sources, data modeling, and visualization concepts.

🔺Install Power BI Desktop: Download and install Power BI Desktop, the free version of Power BI, to begin creating reports and dashboards on your local machine.

🔺Explore Sample Data: Use sample datasets provided by Power BI to practice creating visualizations and getting comfortable with the interface.

🔺Learn Data Loading: Understand how to import data into Power BI from various sources, including Excel, databases, and online services.

🔺Data Transformation: Learn the process of cleaning and transforming data using Power Query to ensure it's suitable for analysis.

🔺Data Modeling: Grasp the fundamentals of data modeling, including relationships between tables, creating calculated columns, and measures.

🔺Create Visualizations: Practice creating different types of visualizations like charts, tables, and maps to represent your data effectively.

🔺Master DAX (Data Analysis Expressions): DAX is the formula language used in Power BI. Learn how to create calculated columns, measures, and calculated tables using DAX.

🔺Build Dashboards: Combine visualizations into interactive dashboards to convey insights effectively. Understand how to use filters and slicers.

🔺Publish to Power BI Service: Explore Power BI Service, where you can publish your reports and share them with others. Learn about collaboration features.

🔺Explore Advanced Features: Dive into advanced features like Power BI Apps, Power Automate integration, and Power BI Embedded for more sophisticated applications.

🔺Stay Updated: As Power BI is regularly updated, stay informed about new features and improvements. Join online communities or forums to connect with other Power BI users and learn from their experiences.

👀🧠Remember, consistent practice and real-world projects will enhance your skills. Utilize online resources, tutorials, and documentation provided by Microsoft to deepen your understanding.

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SHARE WITH YOUR FRIENDS🥳🥳

Focus is the most underrated and most weaponizable skill in software. Frameworks evolve, syntax changes, but the ability to stay mentally locked on a single problem until it’s crushed? That’s timeless.

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Heh!

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