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Python Backend Developer Course

What will I learn?

ናይ Business Intelligence ክእለትካ/ክእለትኪ ብ Python Backend Developer ትምህርቲና ኣዕብዮ/ኣዕብይዮ። ናብ data processing ቴክኒክስ ብምእታው፡ data ምጽራይ፡ ምውሓስን ምጥርናፍን ብሙልኡ ተማሃሩ/ተማሃሪ። ዝዓቢ ስርዓተ ንድፊ ተምሃሩ/ተምሃሪ፡ ዓበይቲ datasets ተቆጻጸሩ/ተቆጻጸሪ፡ ከምኡ’ውን API design መርሆታት ተግብሩ/ተግብሪ። ናይ debuggingን testingን ክእለትካ/ክእለትኪ ብ unitን performance testingን ኣመሓይሹ/ኣመሓይሺ። ድልዱላት APIs ብ Flaskን FastAPIን ተጠቒምካ/ተጠቒምኪ ስራሕ፡ ከምኡ’ውን RESTful endpoints ፍጠሩ/ፍጠሪ። ናይ Python code ን performance ኣመቻችዩ/ኣመቻችዪ፡ ንጹር documentation ጽሓፉ/ጽሓፊ። ሎሚ ዓቕሚ backend development ቀይሩ/ቀይሪ።

Apoia's Unique Features

Unlimited access to courses for life
Certification aligned with educational standards
Printable PDF summaries
Always-available online support
Select and arrange the chapters you want to study
Customize your course workload
Instant feedback on practical activities
Study at your convenience, no internet required

Develop skills

Enhance your practical skills outlined below

Master data cleaning: ኣብ ዳታ ትንተና፡ ልክዕነትን እምነትን ኣረጋግጹ/ኣረጋግጺ።

Design scalable systems: ንዓበይቲ ዳታ ዝኸውን ድልዱል architecture ስርሑ/ስርሒ።

Develop APIs: ብ Flaskን FastAPIን ኣቢልካ/ኣቢልኪ ውጽኢታውያን RESTful endpoints ፍጠሩ/ፍጠሪ።

Optimize Python code: ንዝቐልጠፈ ዳታ processing performance ኣመሓይሹ/ኣመሓይሺ።

Write clear documentation: መምርሒ ተጠቃሚን ቴክኒካዊ መምርሒታትን ብውጽኢት ጽሓፉ/ጽሓፊ።

Suggested summary

Workload: between 4 and 360 hours

Before starting, you can change chapters and workload.

  • Choose which chapter to start with
  • Add or remove chapters
  • Increase or decrease the course workload

Examples of chapters you can add

You will be able to generate more chapters like the examples below

This is a free course, focused on personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.