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Data Engineering | AWS Cloud & Microservices | Big Data Technologies & Scalable Solutions
- Remotely
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07:07
(UTC +01:00) - www.linkedin.com/in/mikolaj-maslanka
- https://medium.com/@Mikolaj_Maslanka
Highlights
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Production-Python Public
This repository is a comprehensive collection of advanced Python programming resources, featuring examples, exercises, and concepts from various sources. It is designed for Python developers lookin…
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Spark-databricks Public
🔥 Master Apache Spark & Databricks! Dive into a world of big data with exclusive insights from Udemy courses, personal notes, and practical guides. Whether you're starting out or scaling new height…
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Linux Public
Introduction to the linux operating system. Useful system commands. External courses and books on Linux. Additional other resources related to Linux distributions.
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Docker_and_Kubernetes Public
Resources and materials about Docker and Kubernetes. Examples of using on production. Real case implementation. DevOps usage of containers and CICD processes.
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DevOps-MLOps Public
Tools for DevOps and MLOps. Materials and projects. New technologies and infrastructure review.
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AWS-DataForge Public
Complete AWS Resource Hub: Certifications, Data Engineering, and Advanced Topics. Dive into this diverse collection of AWS materials, including certification paths, data engineering, and advanced c…
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Azure-forge Public
Comprehensive collection of resources, tutorials, and projects related to various Azure services. It seems to be focused on Azure administration, data engineering, and data science.
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APIs Public
Resources about building APIs. Examples of using on production and advanced concepts.
Python GNU General Public License v3.0 UpdatedDec 5, 2022 -
Databases Public
Main purpose of this repository is to generate knowledge about databases in general view.
TSQL MIT License UpdatedNov 13, 2022 -
Git_GitHub Public
Repository shows how to use Git.Introduction to Git flow. Useful command and workflow.
MIT License UpdatedAug 30, 2022 -
Windows_PowerShell Public
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shared Public
Forked from bcafferky/sharedCode and shared files
Jupyter Notebook UpdatedJul 9, 2022 -
Everyday_practise Public
Practise everyday to become master at DS, ML, BD
Jupyter Notebook MIT License UpdatedJun 21, 2022 -
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Mathematics_and_Python Public
Advanced mathematical concepts. Application of the probability theory. Part of the theory of partial differential equations. The use of statistics in the field of DataScience.
Jupyter Notebook MIT License UpdatedMay 24, 2022 -
Statistics_in_DataScience Public
Jupyter Notebook GNU General Public License v3.0 UpdatedMay 24, 2022 -
The repository concerns the use of optimization techniques in Machine Learning projects. Application examples and explanations. A wide spectrum of algorithms and resources.
python machine-learning algorithms optimization simulated-annealing heuristic-algorithm naural-networkPython Apache License 2.0 UpdatedMay 24, 2022 -
The codes presented in this repository are the result of completing InfoShare courses about Python. There are three levels where first is for beginners and the third is for Python DevOps (jr).
Python MIT License UpdatedMay 24, 2022 -
High-performance-Python Public
High-performance Python in practice. Examples of code optimization using various methods and packages.
Python MIT License UpdatedMay 24, 2022 -
MyHomeWebsite Public
Repository about my personal website
TypeScript Apache License 2.0 UpdatedMay 4, 2022 -
Learning_Path Public
The main file here is Markdown, which will be a map in the process of knowledge dissemination in the field of DS, ML, DL. Additionally, there will be side topics, such as setting up the work enviro…
MIT License UpdatedApr 22, 2022 -
Blockchain_Dev Public
Knowledge about blockchain envinment and ecosystem.
Apache License 2.0 UpdatedApr 3, 2022 -
Data_streaming Public
All topics related to data streaming and real-time analysis
Python UpdatedApr 3, 2022 -
Medium Public
Resources for articles published on Medium
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Stats_methods_II Public
Small projects realized during MA studies. Examples show how to deal with probability distributions, confidence intervals and statistical inference.
Jupyter Notebook MIT License UpdatedFeb 26, 2022