Learn how to crack hashes using Python's hashlib library and a brute-force approach with a wordlist. Gain insights into various hashing algorithms and understand the importance of secure data handling.
Learn how to use Python's built-in re module to use several string matching techniques using functions like match, search, finditer and sub.
Learn how to use the fxcmpy API in Python to perform trading operations with a demo FXCM (broker) account and learn how to do risk management using Take Profit and Stop Loss
Learn how to secure your Python applications with TLS/SSL certificates. Understand the importance of these cryptographic protocols, and grasp how to integrate SSL certificates into Python code using requests library.
Master Bluetooth device scanning with Python: A concise tutorial on using PyBluez for discovering and analyzing nearby Bluetooth devices, essential for cybersecurity and ethical hacking.
Learn how you can easily perform sentiment analysis on text in Python using vaderSentiment library.
An overview of model explainability and interpretability fundamentals, AI applications, and biases in AI model predictions. We looked at utilizing SHAP and LIME to explain a Logistic Regression model and how to explain and interpret an ensemble model.
Learn how to use Scikit-Learn library in Python to perform feature selection with SelectKBest, random forest algorithm and recursive feature elimination (RFE).
Learn how to build a simple text editor that opens and saves text files using Tkinter library in Python
Learn how you can extract DNS information of a domain name such as nameservers, IP addresses, email services and more using dnspython library in Python.
Learn how to use pre-trained image captioning transformer models and what are the metrics used to compare models, you'll also learn how to train your own image captioning model with Pytorch and transformers in Python.
Learn how to use the visualization tool Plotly to implement and create dynamic plots and figures (such as scatters, histograms, and candlesticks) in Python.
Deep-dive into the BLEU Score: A guide to understanding BLEU (Bilingual Evaluation Understudy), a vital metric in NLP. Learn how it evaluates machine-generated sentences against human references in text summarization, translation, and more with NLTK in Python.
Learn the importance of dropout regularization and how to apply it in PyTorch Deep learning framework in Python.
Learn how you can perform named entity recognition using HuggingFace Transformers and spaCy libraries in Python.
Learn how to make a simple text adventure game with Python using the os, json, and pyinputplus modules.