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Data Structures in Python Course

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What will I learn?

Ngwarira zvakakosha zve data structures muPython nechidzidzo chedu chakadzama chakagadzirirwa vanhu vanoshanda mumabasa etekinoroji. Nyura mukati mezvinhu zvakaita se lists, arrays, miti, nema graphs, wodzidza kunatsiridza algorithms kuti zviite nekukurumidza. Ongorora ma heaps, priority queues, sets, nema dictionaries, pamwe nekunatsiridza hunyanzvi hwako mukuyedza nekugadzirisa zvikanganiso. Chidzidzo chemhando yepamusoro ichi, chakatarisana nekudzidzira, chinokupa simba rekuti usarudze data structures dzakakodzera uye nekuvandudza hunyanzvi hwako hwekunyora macode, zvese nemutowo wako wega. Nyoresa izvozvi kuti ukwidze hunyanzvi hwako muhutekinoroji.

Apoia's Unique Features

Online and lifetime course access
Certificate aligned with educational standards
Printable PDF summaries
Online support always available
Select and arrange the chapters you wish to study
Set your own course workload
Instant feedback on practical activities
Study anytime, no internet required

Develop skills

Enhance your development of the practical skills listed below

Ngwarira Python lists nema arrays zvekubata data nemazvo.

Shandisa nekunatsiridza miti nema graphs zve data rakaoma.

Ongorora nguva nenzvimbo inotorwa kuti zviite zviri nani.

Gadzirisa zvikanganiso uye uedze Python code kuti uve nechokwadi chekushanda kwakasimba.

Shandisa heaps nema priority queues zve advanced data management.

Suggested summary

Workload: between 4 and 360 hours

Before starting, you can modify the chapters and the 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.