Python Code Tutorials
Top 9 Python Libraries For Data Scientists and Machine Learning Engineers
Top python libraries and modules that every data scientist and machine learning engineer must know, learn and master.
How to Make a Rich Text Editor with Tkinter in Python
Learn how to make a simple rich text editor where we can set a number of predefined styles for parts of the text via a Graphical User Interface (GUI) using Tkinter in Python.
How to Crack Hashes in Python
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.
How to Use Regular Expressions in Python
Learn how to use Python's built-in re module to use several string matching techniques using functions like match, search, finditer and sub.
Algorithmic Trading with FXCM Broker in Python
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
A Guide to Explainable AI Using Python
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.
Sentiment Analysis using VADER in Python
Learn how you can easily perform sentiment analysis on text in Python using vaderSentiment library.
How to Calculate the BLEU Score 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.
How to Use the Argparse Module in Python
Master the argparse module in Python with this comprehensive tutorial, covering command-line applications, argument parsing, real-world examples, integration with other libraries, and best practices to create user-friendly interfaces and powerful command-line tools.
Image Captioning using PyTorch and Transformers 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.
How to Perform DNS Enumeration 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.
How to Make a Text Editor using Tkinter in Python
Learn how to build a simple text editor that opens and saves text files using Tkinter library in Python
Feature Selection using Scikit-Learn in Python
Learn how to use Scikit-Learn library in Python to perform feature selection with SelectKBest, random forest algorithm and recursive feature elimination (RFE).
How to Make a Text Adventure Game in Python
Learn how to make a simple text adventure game with Python using the os, json, and pyinputplus modules.
How to Create Plots with Plotly 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.
Speech Recognition in Python
Learn how to do Automatic Speech Recognition (ASR) using APIs and/or directly performing Whisper inference on Transformers in Python
