# Sayansi ya Data kwa Waanzizi - Mtaala

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Wafuasi wa Azure Cloud huko Microsoft wanafurahia kutoa mtaala wa wiki 10, masomo 20 yote kuhusu Sayansi ya Data. Kila somo linajumuisha vipimo kabla ya somo na baada ya somo, maagizo yaliyoandikwa ya kumaliza somo, suluhisho, na kazi ya nyumbani. Mbinu yetu ya kujifunza kwa miradi hukuruhusu kujifunza huku ukiunda, njia iliyothibitishwa ya ujuzi mpya 'kubaki'.

**Shukrani kali kwa waandishi wetu:** [Jasmine Greenaway](https://www.twitter.com/paladique), [Dmitry Soshnikov](http://soshnikov.com), [Nitya Narasimhan](https://twitter.com/nitya), [Jalen McGee](https://twitter.com/JalenMcG), [Jen Looper](https://twitter.com/jenlooper), [Maud Levy](https://twitter.com/maudstweets), [Tiffany Souterre](https://twitter.com/TiffanySouterre), [Christopher Harrison](https://www.twitter.com/geektrainer).

**🙏 Shukrani maalum 🙏 kwa waandishi, wakagua na wachangiaji wa maudhui wa [Balozi wa Wanafunzi wa Microsoft](https://studentambassadors.microsoft.com/),** hasa Aaryan Arora, [Aditya Garg](https://github.com/AdityaGarg00), [Alondra Sanchez](https://www.linkedin.com/in/alondra-sanchez-molina/), [Ankita Singh](https://www.linkedin.com/in/ankitasingh007), [Anupam Mishra](https://www.linkedin.com/in/anupam--mishra/), [Arpita Das](https://www.linkedin.com/in/arpitadas01/), ChhailBihari Dubey, [Dibri Nsofor](https://www.linkedin.com/in/dibrinsofor), [Dishita Bhasin](https://www.linkedin.com/in/dishita-bhasin-7065281bb), [Majd Safi](https://www.linkedin.com/in/majd-s/), [Max Blum](https://www.linkedin.com/in/max-blum-6036a1186/), [Miguel Correa](https://www.linkedin.com/in/miguelmque/), [Mohamma Iftekher (Iftu) Ebne Jalal](https://twitter.com/iftu119), [Nawrin Tabassum](https://www.linkedin.com/in/nawrin-tabassum), [Raymond Wangsa Putra](https://www.linkedin.com/in/raymond-wp/), [Rohit Yadav](https://www.linkedin.com/in/rty2423), Samridhi Sharma, [Sanya Sinha](https://www.linkedin.com/mwlite/in/sanya-sinha-13aab1200),
[Sheena Narula](https://www.linkedin.com/in/sheena-narua-n/), [Tauqeer Ahmad](https://www.linkedin.com/in/tauqeerahmad5201/), Yogendrasingh Pawar , [Vidushi Gupta](https://www.linkedin.com/in/vidushi-gupta07/), [Jasleen Sondhi](https://www.linkedin.com/in/jasleen-sondhi/)

|![Sketchnote by @sketchthedocs https://sketchthedocs.dev](../../translated_images/sw/00-Title.8af36cd35da1ac55.webp)|
|:---:|
| Sayansi ya Data kwa Waanzizi - _Sketchnote na [@nitya](https://twitter.com/nitya)_ |

### 🌐 Msaada wa Lugha Nyingi

#### Inaungwa mkono kupitia Hatua ya GitHub (Kiotomatiki & Mara zote Imesasishwa)

<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
[Kiarabu](../ar/README.md) | [Kibengali](../bn/README.md) | [Kibulgaria](../bg/README.md) | [Kiburma (Myanmar)](../my/README.md) | [Kichina (Rahisi)](../zh-CN/README.md) | [Kichina (Kiutamaduni, Hong Kong)](../zh-HK/README.md) | [Kichina (Kiutamaduni, Macau)](../zh-MO/README.md) | [Kichina (Kiutamaduni, Taiwan)](../zh-TW/README.md) | [Kikroeshia](../hr/README.md) | [Kicheki](../cs/README.md) | [Kidenmaki](../da/README.md) | [Kiholanzi](../nl/README.md) | [Kiestonia](../et/README.md) | [Kifini](../fi/README.md) | [Kifaransa](../fr/README.md) | [Kijerumani](../de/README.md) | [Kigiriki](../el/README.md) | [Kiebrania](../he/README.md) | [Kihindi](../hi/README.md) | [Kihungaria](../hu/README.md) | [Kiindonesia](../id/README.md) | [Kiitaliano](../it/README.md) | [Kijapani](../ja/README.md) | [Kikannada](../kn/README.md) | [Kikorea](../ko/README.md) | [Kilitwania](../lt/README.md) | [Kimalaezi](../ms/README.md) | [Kimalayalam](../ml/README.md) | [Kimarathi](../mr/README.md) | [Kinepali](../ne/README.md) | [Kipidgin cha Nigeria](../pcm/README.md) | [Kinorwe](../no/README.md) | [Kiajemi (Farsi)](../fa/README.md) | [Kipolishi](../pl/README.md) | [Kireno (Brazili)](../pt-BR/README.md) | [Kireno (Ureno)](../pt-PT/README.md) | [Kipunjabi (Gurmukhi)](../pa/README.md) | [Kiromania](../ro/README.md) | [Kirusi](../ru/README.md) | [Kiservia (Siriliki)](../sr/README.md) | [Kislovakia](../sk/README.md) | [Kislovenia](../sl/README.md) | [Kihispania](../es/README.md) | [Kiswahili](./README.md) | [Kiswidi](../sv/README.md) | [Kitagalog (Filipino)](../tl/README.md) | [Kitamili](../ta/README.md) | [Kitelugu](../te/README.md) | [Kithai](../th/README.md) | [Kituruki](../tr/README.md) | [Kiukraini](../uk/README.md) | [Kiurdu](../ur/README.md) | [Kivietinamu](../vi/README.md)

> **Unapendelea Kuiga Kwa Ndani?**
>
> Hifadhidata hii ina tafsiri zaidi ya 50 za lugha ambazo huongeza kwa kiasi kikubwa ukubwa wa kupakua. Ili kuiga bila tafsiri, tumia sparse checkout:
>
> **Bash / macOS / Linux:**
> ```bash
> git clone --filter=blob:none --sparse https://github.com/microsoft/Data-Science-For-Beginners.git
> cd Data-Science-For-Beginners
> git sparse-checkout set --no-cone '/*' '!translations' '!translated_images'
> ```
>
> **CMD (Windows):**
> ```cmd
> git clone --filter=blob:none --sparse https://github.com/microsoft/Data-Science-For-Beginners.git
> cd Data-Science-For-Beginners
> git sparse-checkout set --no-cone "/*" "!translations" "!translated_images"
> ```
>
> Hii inakupa kila kitu unachohitaji kumaliza kozi kwa upakuaji wa haraka zaidi.
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->

**Kama unataka kuwa na lugha za ziada za tafsiri zinazoungiwa mkono ziko [hapa](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**

#### Jiunge na Jamii Yetu
[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)

Tuna mfululizo wa kujifunza Discord na AI unaoendelea, jifunze zaidi na ujiunge nasi katika [Mfululizo wa Kujifunza na AI](https://aka.ms/learnwithai/discord) kuanzia tarehe 18 - 30 Septemba, 2025. Utapata vidokezo na mbinu za kutumia GitHub Copilot kwa Sayansi ya Data.

![Mfululizo wa Kujifunza na AI](../../translated_images/sw/1.2b28cdc6205e26fe.webp)

# Je, wewe ni mwanafunzi?

Anza na rasilimali zifuatazo:

- [Ukurasa wa Kituo cha Wanafunzi](https://docs.microsoft.com/en-gb/learn/student-hub?WT.mc_id=academic-77958-bethanycheum) Katika ukurasa huu, utapata rasilimali za wanaoanza, vifurushi vya Wanafunzi na hata njia za kupata vocha za cheti bure. Huu ni ukurasa unaotaka kuweka alama na kuangalia mara kwa mara tunapobadilisha maudhui angalau kila mwezi.
- [Microsoft Learn Student Ambassadors](https://studentambassadors.microsoft.com?WT.mc_id=academic-77958-bethanycheum) Jiunge na jamii ya kimataifa ya mabalozi wanafunzi, hii inaweza kuwa njia yako ya kuingia Microsoft.

# Kuanzia

## 📚 Nyaraka

- **[Mwongozo wa Usanidi](INSTALLATION.md)** - Maelekezo hatua kwa hatua kwa waanzizi
- **[Mwongozo wa Matumizi](USAGE.md)** - Mifano na michakato ya kawaida
- **[Utatuzi wa Matatizo](TROUBLESHOOTING.md)** - Suluhisho za masuala ya kawaida
- **[Mwongozo wa Kuchangia](CONTRIBUTING.md)** - Jinsi ya kuchangia mradi huu
- **[Kwa Walimu](for-teachers.md)** - Mwongozo wa kufundisha na rasilimali za darasani

## 👨‍🎓 Kwa Wanafunzi
> **Waanzizi Wapya**: Mpya katika sayansi ya data? Anza na [mifano rahisi kwa wanaoanza](examples/README.md)! Mifano hii rahisi, yenye maelezo itakusaidia kuelewa misingi kabla ya kuingia mtaala mzima.
> **[Wanafunzi](https://aka.ms/student-page)**: kutumia mtaala huu peke yako, tengeneza nakala ya repo nzima na maliza mazoezi kwa wewe mwenyewe, ukianza na jaribio la kabla ya mihadhara. Kisha soma mihadhara na maliza shughuli nyingine. Jaribu kuunda miradi kwa kuelewa masomo badala ya kunakili msimbo wa suluhisho; hata hivyo, msimbo huo upo katika folda za /solutions katika kila somo linalolenga mradi. Wazo jingine ni kuunda kikundi cha masomo na marafiki na kupitia maudhui pamoja. Kwa masomo zaidi, tunapendekeza [Microsoft Learn](https://docs.microsoft.com/en-us/users/jenlooper-2911/collections/qprpajyoy3x0g7?WT.mc_id=academic-77958-bethanycheum).

**Anza Haraka:**
1. Angalia [Mwongozo wa Usanidi](INSTALLATION.md) kuweka mazingira yako
2. Pitia [Mwongozo wa Matumizi](USAGE.md) kujifunza jinsi ya kufanya kazi na mtaala
3. Anza na Somo la 1 na fanya kazi mfululizo
4. Jiunge na [jamii yetu ya Discord](https://aka.ms/ds4beginners/discord) kwa msaada

## 👩‍🏫 Kwa Walimu
> **Walimu**: tumekuwa [tukiongeza mapendekezo kadhaa](for-teachers.md) kuhusu jinsi ya kutumia mtaala huu. Tunatarajia maoni yako [katika jukwaa letu la majadiliano](https://github.com/microsoft/Data-Science-For-Beginners/discussions)!

## Kutana na Timu

[![Video ya utangulizi](../../ds-for-beginners.gif)](https://youtu.be/8mzavjQSMM4 "Video ya utangulizi")

**Gif na** [Mohit Jaisal](https://www.linkedin.com/in/mohitjaisal)

> 🎥 Bonyeza picha hapo juu kwa video kuhusu mradi na watu waliouunda!

## Pedagojia

Tumechagua kanuni mbili za kufundisha wakati wa kuunda mtaala huu: kuhakikisha unategemea miradi na unajumuisha maswali ya mara kwa mara. Mwishoni mwa mfululizo huu, wanafunzi watakuwa wamejifunza misingi ya sayansi ya data, ikijumuisha dhana za kimaadili, maandalizi ya data, njia tofauti za kufanya kazi na data, uwasilishaji wa data, uchambuzi wa data, matumizi halisi ya sayansi ya data, na zaidi.

Zaidi ya hayo, jaribio la chini la hatari kabla ya darasa linaweka nia ya mwanafunzi kuelekea kujifunza mada, wakati jaribio la pili baada ya darasa linahakikisha kuhifadhi zaidi. Mtaala huu umeundwa kuwa rahisi kubadilika na kufurahisha na unaweza kuchukuliwa kwa jumla au kwa sehemu. Miradi huanza ndogo na kuwa changamano zaidi mwishoni mwa mzunguko wa wiki 10.

> Pata [Kanuni Zetu za Maadili](CODE_OF_CONDUCT.md), [Kushirikiana](CONTRIBUTING.md), [Mwongozo wa Tafsiri](TRANSLATIONS.md). Tunakukaribisha maoni yako yenye kujenga!

## Kila somo linajumuisha:

- Sketchnote hiari
- Video ya ziada hiari
- Jaribio la msingi kabla ya somo
- Somo lililoandikwa
- Kwa masomo yanayotegemea mradi, mwongozo hatua kwa hatua wa jinsi ya kuunda mradi
- Ukaguzi wa maarifa
- Changamoto
- Usomaji wa ziada
- Kazi ya nyumbani
- [Jaribio baada ya somo](https://ff-quizzes.netlify.app/en/)

> **Kumbuka kuhusu maswali**: Maswali yote yamo kwenye folda ya Quiz-App, kwa maswali 40 ya jumla yenye maswali matatu kila moja. Yameunganishwa kutoka ndani ya masomo, lakini programu ya jaribio inaweza kuendeshwa kwa ndani au kusambazwa kwenye Azure; fuata maelekezo katika folda ya `quiz-app`. Yanazunguka tafsiri polepole.

## 🎓 Mifano Rafiki kwa Waanziaji

**Mpya kwa Sayansi ya Data?** Tumeunda [folda ya mifano](examples/README.md) maalum yenye msimbo rahisi na wenye maelezo mazuri kusaidia kuanza:

- 🌟 **Hello World** - Programu yako ya kwanza ya sayansi ya data
- 📂 **Kupakia Data** - Jifunze kusoma na kuchambua datasets
- 📊 **Uchambuzi Rahisi** - Hesabu takwimu na tafuta mifumo
- 📈 **Uwasilishaji wa Msingi** - Tengeneza chati na grafu
- 🔬 **Mradi wa Dunia Halisi** - Mchakato kamili kuanzia mwanzo hadi mwisho

Kila mfano una maelezo ya kina yanayoelezea kila hatua, ukifanya iwe nzuri kwa waanziaji kabisa!

👉 **[Anza na mifano](examples/README.md)** 👈

## Masomo


|![ Sketchnote na @sketchthedocs https://sketchthedocs.dev](../../translated_images/sw/00-Roadmap.4905d6567dff4753.webp)|
|:---:|
| Sayansi ya Data kwa Waanziaji: Ramani ya Njia - _Sketchnote na [@nitya](https://twitter.com/nitya)_ |


| Nambari ya Somo | Mada | Kundi la Somo | Malengo ya Kujifunza | Somo Lililounganishwa | Mwandishi |
| :-----------: | :----------------------------------------: | :--------------------------------------------------: | :-----------------------------------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------: | :----: |
| 01 | Kufafanua Sayansi ya Data | [Utangulizi](1-Introduction/README.md) | Jifunze dhana za msingi za sayansi ya data na jinsi inavyohusiana na akili bandia, ujifunzaji mashine, na data kubwa. | [somo](1-Introduction/01-defining-data-science/README.md) [video](https://youtu.be/beZ7Mb_oz9I) | [Dmitry](http://soshnikov.com) |
| 02 | Maadili ya Sayansi ya Data | [Utangulizi](1-Introduction/README.md) | Dhana za Maadili ya Data, Changamoto na Miundo. | [somo](1-Introduction/02-ethics/README.md) | [Nitya](https://twitter.com/nitya) |
| 03 | Kufafanua Data | [Utangulizi](1-Introduction/README.md) | Jinsi data inavyoainishwa na vyanzo vyake vya kawaida. | [somo](1-Introduction/03-defining-data/README.md) | [Jasmine](https://www.twitter.com/paladique) |
| 04 | Utangulizi wa Takwimu na Uwezekano | [Utangulizi](1-Introduction/README.md) | Mbinu za kihisabati za uwezekano na takwimu kuelewa data. | [somo](1-Introduction/04-stats-and-probability/README.md) [video](https://youtu.be/Z5Zy85g4Yjw) | [Dmitry](http://soshnikov.com) |
| 05 | Kufanya kazi na Data ya Uhusiano | [Kufanya kazi na Data](2-Working-With-Data/README.md) | Utangulizi wa data ya uhusiano na misingi ya kuchambua na kuchunguza data ya uhusiano kwa kutumia Structured Query Language, inayojulikana pia kama SQL (inayosemwa “see-quell”). | [somo](2-Working-With-Data/05-relational-databases/README.md) | [Christopher](https://www.twitter.com/geektrainer) | | |
| 06 | Kufanya kazi na Data isiyo ya NoSQL | [Kufanya kazi na Data](2-Working-With-Data/README.md) | Utangulizi wa data isiyo ya uhusiano, aina zake mbalimbali na misingi ya kuchambua na kuchunguza database za hati. | [somo](2-Working-With-Data/06-non-relational/README.md) | [Jasmine](https://twitter.com/paladique)|
| 07 | Kufanya kazi na Python | [Kufanya kazi na Data](2-Working-With-Data/README.md) | Misingi ya kutumia Python katika uchambuzi wa data kwa maktaba kama Pandas. Uelewa wa msingi wa programu ya Python unahitajika. | [somo](2-Working-With-Data/07-python/README.md) [video](https://youtu.be/dZjWOGbsN4Y) | [Dmitry](http://soshnikov.com) |
| 08 | Maandalizi ya Data | [Kufanya kazi na Data](2-Working-With-Data/README.md) | Mada kuhusu mbinu za kusafisha na kubadilisha data kushughulikia changamoto za data kupungufu, isiyo sahihi au isiyo kamili. | [somo](2-Working-With-Data/08-data-preparation/README.md) | [Jasmine](https://www.twitter.com/paladique) |
| 09 | Kuonyesha Viwango | [Uwasilishaji wa Data](3-Data-Visualization/README.md) | Jifunze jinsi ya kutumia Matplotlib kuonyesha data za ndege 🦆 | [somo](3-Data-Visualization/09-visualization-quantities/README.md) | [Jen](https://twitter.com/jenlooper) |
| 10 | Kuonyesha Mgawanyo wa Data | [Uwasilishaji wa Data](3-Data-Visualization/README.md) | Kuonyesha maoni na mwenendo ndani ya kipindi. | [somo](3-Data-Visualization/10-visualization-distributions/README.md) | [Jen](https://twitter.com/jenlooper) |
| 11 | Kuonyesha Asilimia | [Uwasilishaji wa Data](3-Data-Visualization/README.md) | Kuonyesha asilimia za kujitenga na zilizokusanywa. | [somo](3-Data-Visualization/11-visualization-proportions/README.md) | [Jen](https://twitter.com/jenlooper) |
| 12 | Kuonyesha Uhusiano | [Uwasilishaji wa Data](3-Data-Visualization/README.md) | Kuonyesha uhusiano na uhusiano kati ya seti za data na mabadiliko yao. | [somo](3-Data-Visualization/12-visualization-relationships/README.md) | [Jen](https://twitter.com/jenlooper) |
| 13 | Uwasilishaji wenye Thamani | [Uwasilishaji wa Data](3-Data-Visualization/README.md) | Mbinu na mwongozo wa kufanya uwasilishaji wako kuwa na thamani kwa kutatua matatizo kwa ufanisi na kupata maarifa. | [somo](3-Data-Visualization/13-meaningful-visualizations/README.md) | [Jen](https://twitter.com/jenlooper) |
| 14 | Utangulizi wa mzunguko wa maisha ya Sayansi ya Data | [Mzunguko wa Maisha](4-Data-Science-Lifecycle/README.md) | Utangulizi wa mzunguko wa maisha ya sayansi ya data na hatua yake ya kwanza ya kupata na kutoa data. | [somo](4-Data-Science-Lifecycle/14-Introduction/README.md) | [Jasmine](https://twitter.com/paladique) |
| 15 | Kuchambua | [Mzunguko wa Maisha](4-Data-Science-Lifecycle/README.md) | Awamu hii ya mzunguko wa maisha ya sayansi ya data inazingatia mbinu za kuchambua data. | [somo](4-Data-Science-Lifecycle/15-analyzing/README.md) | [Jasmine](https://twitter.com/paladique) | | |
| 16 | Mawasiliano | [Mzunguko wa Maisha](4-Data-Science-Lifecycle/README.md) | Awamu hii inahusu kuwasilisha maarifa yanayotokana na data kwa njia inayorahisisha watoa maamuzi kuelewa. | [somo](4-Data-Science-Lifecycle/16-communication/README.md) | [Jalen](https://twitter.com/JalenMcG) | | |
| 17 | Sayansi ya Data katika Wingu | [Data ya Wingu](5-Data-Science-In-Cloud/README.md) | Mfululizo huu wa masomo yaanzisha sayansi ya data katika wingu na faida zake. | [somo](5-Data-Science-In-Cloud/17-Introduction/README.md) | [Tiffany](https://twitter.com/TiffanySouterre) na [Maud](https://twitter.com/maudstweets) |
| 18 | Sayansi ya Data katika Wingu | [Data ya Wingu](5-Data-Science-In-Cloud/README.md) | Mafunzo ya modeli kwa kutumia zana za Low Code. |[somo](5-Data-Science-In-Cloud/18-Low-Code/README.md) | [Tiffany](https://twitter.com/TiffanySouterre) na [Maud](https://twitter.com/maudstweets) |
| 19 | Sayansi ya Data katika Wingu | [Data ya Wingu](5-Data-Science-In-Cloud/README.md) | Kusambaza modeli kwa kutumia Azure Machine Learning Studio. | [somo](5-Data-Science-In-Cloud/19-Azure/README.md)| [Tiffany](https://twitter.com/TiffanySouterre) na [Maud](https://twitter.com/maudstweets) |
| 20 | Sayansi ya Data Kwenye Ulimwengu Halisi | [Kwenye Ulimwengu Halisi](6-Data-Science-In-Wild/README.md) | Miradi ya sayansi ya data katika dunia halisi. | [somo](6-Data-Science-In-Wild/20-Real-World-Examples/README.md) | [Nitya](https://twitter.com/nitya) |

## GitHub Codespaces

Fuata hatua hizi kufungua sampuli hii katika Codespace:
1. Bonyeza menyu ya Code na chagua chaguo la Open with Codespaces.
2. Chagua + New codespace chini kwenye sehemu ya kidirisha.
Kwa maelezo zaidi, angalia [nyaraka za GitHub](https://docs.github.com/en/codespaces/developing-in-codespaces/creating-a-codespace-for-a-repository#creating-a-codespace).

## VSCode Remote - Containers
Fuata hatua hizi kufungua repo hii kwenye chombo (container) kwa kutumia mashine yako ya ndani na VSCode ukitumia ugani wa VS Code Remote - Containers:

1. Ikiwa ni mara yako ya kwanza kutumia chombo cha maendeleo (development container), hakikisha mfumo wako unakidhi vigezo (yaani, kuwa na Docker imewekwa) katika [nyaraka za kuanza](https://code.visualstudio.com/docs/devcontainers/containers#_getting-started).

Ili kutumia repozitori hii, unaweza kufungua repozitori kwa kutumia gari la Docker ambalo limejitenga:

**Kumbuka**: Chini ya kifuniko, hii itatumia amri ya Remote-Containers: **Clone Repository in Container Volume...** ili kunakili msimbo wa chanzo kwenye gari la Docker badala ya mfumo wa faili wa ndani. [Gari (Volumes)](https://docs.docker.com/storage/volumes/) ni njia iliyopendekezwa kuhifadhi data ya chombo.

Au fungua toleo lililonakiliwa au kupakuliwa la repozitori kwa ndani:

- Nakili repozitori hii kwenye mfumo wako wa faili wa ndani.
- Bonyeza F1 na chagua amri ya **Remote-Containers: Open Folder in Container...**.
- Chagua toleo lililonakiliwa la folda hii, subiri chombo kuanza, kisha jaribu vitu.

## Ufikiaji wa Nje ya Mtandao

Unaweza kuendesha nyaraka hii nje ya mtandao kwa kutumia [Docsify](https://docsify.js.org/#/). Fanya nakala ya repozitori hii, [sakinisha Docsify](https://docsify.js.org/#/quickstart) kwenye mashine yako ya ndani, kisha kwenye folda kuu ya repozitori hii, andika `docsify serve`. Tovuti itashirikiwa kwenye port 3000 kwenye localhost yako: `localhost:3000`.

> Kumbuka, vitabu vya daftari hayatatumwa kupitia Docsify, kwa hivyo unapohitaji kuendesha daftari, fanya hivyo tofauti ndani ya VS Code ukitumia kernel ya Python.

## Mtaala Mwingine

Timu yetu inatengeneza mtaala mingine! Angalia:

<!-- CO-OP TRANSLATOR OTHER COURSES START -->
### LangChain
[![LangChain4j kwa Waanziaji](https://img.shields.io/badge/LangChain4j%20for%20Beginners-22C55E?style=for-the-badge&&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchain4j-for-beginners)
[![LangChain.js kwa Waanzilishi](https://img.shields.io/badge/LangChain.js%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
[![LangChain kwa Waanzilishi](https://img.shields.io/badge/LangChain%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=0553D6)](https://github.com/microsoft/langchain-for-beginners?WT.mc_id=m365-94501-dwahlin)
---

### Azure / Edge / MCP / Maajenti
[![AZD kwa Waanzilishi](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
[![Edge AI kwa Waanzilishi](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
[![MCP kwa Waanzilishi](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
[![Maajenti wa AI kwa Waanzilishi](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)

---
 
### Mfululizo wa AI Inayotengeneza
[![AI Inayotengeneza kwa Waanzilishi](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
[![AI Inayotengeneza (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
[![AI Inayotengeneza (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
[![AI Inayotengeneza (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)

---
 
### Mafunzo Msingi
[![ML kwa Waanzilishi](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
[![Sayansi ya Takwimu kwa Waanzilishi](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
[![AI kwa Waanzilishi](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
[![Usalama wa Mtandao kwa Waanzilishi](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
[![Maendeleo ya Tovuti kwa Waanzilishi](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
[![IoT kwa Waanzilishi](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
[![Maendeleo ya XR kwa Waanzilishi](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)

---
 
### Mfululizo wa Copilot
[![Copilot kwa Uandishi wa Programu kwa Pamoja na AI](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
[![Copilot kwa C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
[![Mvituko wa Copilot](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
<!-- CO-OP TRANSLATOR OTHER COURSES END -->

## Kupata Msaada

**Unakutana na matatizo?** Angalia [Mwongozo wa Kutatua Matatizo](TROUBLESHOOTING.md) kwa suluhisho la matatizo ya kawaida.

Ikiwa unashindwa au una maswali yoyote kuhusu kujenga programu za AI. Jiunge na wenzako wanaojifunza na waendelezaji wenye uzoefu katika mijadala kuhusu MCP. Ni jumuiya inayounga mkono ambapo maswali yanakaribishwa na maarifa hushirikiwa kwa uhuru.

[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)

Ikiwa una maoni kuhusu bidhaa au makosa wakati wa kujenga tembelea:

[![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum)

---

<!-- CO-OP TRANSLATOR DISCLAIMER START -->
**Kionyesha Kutokuwepo Dhidi ya Makosa**:  
Hati hii imetafsiriwa kwa kutumia huduma ya tafsiri ya AI [Co-op Translator](https://github.com/Azure/co-op-translator). Ingawa tunajitahidi kupata usahihi, tafadhali fahamu kwamba tafsiri zilizotengenezwa moja kwa moja zinaweza kuwa na makosa au upungufu wa usahihi. Hati asilia katika lugha yake ya asili inapaswa kuzingatiwa kama chanzo cha mamlaka. Kwa taarifa muhimu, inapendekezwa kutumia tafsiri za kitaalamu za binadamu. Hatuna dhamana kwa kutoelewana au tafsiri potofu zitokanazo na matumizi ya tafsiri hii.
<!-- CO-OP TRANSLATOR DISCLAIMER END -->