
Learn Swift programming basics, including XCode, variables, data types, and optionals, to kickstart your iOS app development journey.

Learn to implement face recognition, object detection, and face comparisons using AWS Rekognition and Python's boto3 module. Covers setup, IAM credentials, and practical demonstrations.

Learn to implement AWS Rekognition with Python for image and video analysis. Covers object detection, facial analysis, and text recognition using deep learning technology.

Develop a Crossy Road-style game using Python and Pygame, covering basics to advanced topics. Perfect for beginners, resulting in a portfolio-ready project.

Learn to build a comprehensive DNA toolkit in Python, covering nucleotide validation, transcription, GC content calculation, translation, protein search, and more for practical bioinformatics applications.

Learn bioinformatics through hands-on problem-solving, covering DNA analysis, Python basics, transcription, data processing, and biological modeling.

Learn Python-based bioinformatics techniques for DNA analysis, including nucleotide counting, transcription, GC content calculation, and protein search, while solving Rosalind problems and refactoring code.

Explore the transition from Python to Rust, covering fundamental concepts, string manipulation, functions, modules, and data structures like dictionaries and HashMaps.

Learn to program bioinformatics tools in Python with Qt in less than an hour. rebelScience.

Learn Python-based bioinformatics techniques for DNA analysis, sequence alignment, and protein visualization. Explore NCBI databases, BLAST searches, and COVID-19 genome analysis using Biopython.

Solve bioinformatics challenges using Python, covering DNA analysis, motif finding, and protein translation. Enhance your coding skills while exploring real-world biological problems.

Learn essential Biopython techniques for bioinformatics analysis, including FASTQ processing, NCBI database access, sequence alignment, COVID-19 genome analysis, and data visualization.

Comprehensive introduction to TensorFlow and deep learning fundamentals, covering tensor operations, neural network regression, and classification. Hands-on coding examples and practical insights for building and improving models.

Learn scientific computing essentials: BASH, Python, and SQL. Develop programming and data wrangling skills for UNIX/LINUX environments. Practical exercises and quizzes included.

Learn Python for data science through hands-on projects covering machine learning, web scraping, exploratory data analysis, and computational drug discovery. Gain practical skills using popular libraries and tools.

Soumith Chintala discusses PyTorch's journey, principles, and ecosystem, exploring its development, community impact, and future directions in deep learning and open-source collaboration.

Learn to develop powerful analytical groundwater models using Python, covering recharge between rivers, riverbank storage, well pumping, and aquifer test analysis with practical examples.

Comprehensive introduction to Object Oriented Programming in Python, covering key concepts like objects, classes, inheritance, and abstract methods through practical examples and hands-on exercises.

Comprehensive introduction to Python Pandas, covering installation, data structures, file operations, data manipulation, and transformation techniques for beginners in data analysis.

Comprehensive tutorial on PyTest for Selenium automation, covering setup, UI testing, parallel execution, and cross-browser testing using LambdaTest platform.

Learn to automate web application testing using Python, Selenium WebDriver, and pytest. Covers local and remote testing, multi-browser scenarios, and best practices for efficient UI test automation.