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30-days-of-python

30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace.

ad_optimisation

airbnb_clone

First step: Write a command interpreter to manage your AirBnB objects. This is the first step towards building your first full web application: the AirBnB clone. This first step is very important because you will use what you build during this project with all other following projects: HTML/CSS templating, database storage, API, front-end integration… Each task is linked and will help you to: put in place a parent class (called BaseModel) to take care of the initialization, serialization and deserialization of your future instances create a simple flow of serialization/deserialization: Instance <-> Dictionary <-> JSON string <-> file create all classes used for AirBnB (User, State, City, Place…) that inherit from BaseModel create the first abstracted storage engine of the project: File storage. create all unittests to validate all our classes and storage engine

airbnb_clone_v2

airbnb_clone_v4

algorand-dapps_smart-contract

Build an end-to-end Web3 dapps on the Algorand Blockchain that will help 10 Academy generate and distribute Non-Fungible Tokens (NFTs) as certificates that will represent the successful completion of a weekly challenge to trainees, and allow trainees with NFTs to interact with a smart contract to perform pre-defined actions.

alx-backend

alx-backend

alx-backend-javascript

alx-backend-javascript

alx-backend-python

alx-backend-storage

alx-backend-user-data

alx-backend-user-data

alx-files_manager

alx-files_manager

alx-higher_level_programming

High level language projects

alx-interview

alx-low_level_programming

alx-low_level_programming

alx-onboarding

alx-pre_course

Alx pre course git

alx-system_engineering-devops

alx-zero_day

I'm now a ALX Student, this is my first repository as a full-stack engineer

amharic-english-machine-translation-corpus

Amharic English Machine Translation Corpus prepared through website crawelling and custom preprocessing.

backtesting

Cryptocurrency trading engineering: A scalable back testing infrastructure and a reliable, large-scale trading data pipeline

binary_trees

0x1D. C - Binary trees

birhanugebisa

Config files for my GitHub profile.

cml

♾️ CML - Continuous Machine Learning | CI/CD for ML

cp-docker-images

[DEPRECATED] Docker images for Confluent Platform.

data-engineering_text-to-speech_data-collection

Data Engineering: text-to-speech data collection with Kafka, Airflow, and Spark

data-warehouse

The data warehouse should take into account future needs, organise data such that a number of downstream projects query the data efficiently. Use the Extract Load Transform (ELT) framework using DBT. Unlike the Extract, Transform, Load (ETL), the ELT framework helps analytic engineers in the city traffic department setup transformation workflows on a need basis.

dataengineering_datawarehouse_airflow

Fully dockerized Data Warehouse (DWH) using Airflow, dbt, PostgreSQL and dashboard using redash

dataprep

DataPrep — The easiest way to prepare data in Python