Algorithms and Data Structures

Classic algorithms and data structures (list, tree, graph, heap, hash) reworked with Python examples and complexity analysis.

ArticlesPublished 8
Main Tag#algoritmi

Prerequisites

  • Python Base
  • Basic Mathematical Logic

What you'll learn

  • Big O analysis of common algorithms
  • Implement BFS/DFS/Dijkstra
  • Choose the right data structure for the problem

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Fundamentals of Money Management

Foundations of Machine Learning reworked from university Jupyter notebooks: from basic math to supervised and unsupervised models, with scikit-learn and PyTorch code.

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Probability and Statistics

Transcription and summary of the 50 video lessons from the Probability and Statistics course at UniBa. Random variables, distributions, estimation, hypothesis testing, regression.

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Design Patterns in Production

Six structural and behavioral patterns extracted from LabSAS 2021-22 (UniBa Software Application Development), explained with Java multi-module examples and unit tests.

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