Boris Paskhaver

Learn to Code with Python

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Learn to Code with Python, created by Boris Paskhaver, serves as an exceptionally thorough roadmap for anyone looking to master Python 3 from scratch. This comprehensive bootcamp is meticulously designed to guide absolute beginners through the fundamentals of programming while simultaneously offering seasoned developers a deep dive into advanced Python mechanics. Learners start with basic syntax and core data structures like lists, tuples, dictionaries, and sets before transitioning to complex algorithmic problem-solving. As you progress, the curriculum covers object-oriented programming concepts including classes, inheritance, and encapsulation, along with modern engineering practices like unit testing and decorators. Beyond theoretical knowledge, the course emphasizes real-world application through practical projects, such as building web scrapers and interactive games. Whether your goal is to transition into software engineering, automate tedious daily tasks, explore data science, or prepare for technical coding interviews, this course equips you with the robust practical skills required in today's competitive tech landscape. With dozens of hours of high-quality instruction and interactive coding challenges, it remains a premier resource for Python mastery.

Data Analysis with Pandas and Python [2026]

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Data Analysis with Pandas and Python is a comprehensive guide designed to take you from a Python novice to a highly capable data analyst using the industry-standard Pandas library. Created by renowned instructor Boris Paskhaver, this course offers an in-depth exploration of data manipulation, cleaning, and analysis techniques. You will start with the fundamental building blocks, exploring one-dimensional Series and moving quickly into multi-dimensional DataFrames. The curriculum is meticulously structured to cover advanced operations such as filtering, sorting, grouping, pivoting, and merging disparate datasets. Real-world datasets are integrated throughout the lectures, ensuring that you gain practical, hands-on experience solving actual data challenges. Whether you are dealing with missing values, parsing date-time formats, or reshaping complex tables, this course equips you with the exact methods and attributes needed to streamline your workflow. By the end of this journey, you will possess the analytical mindset and programming skills required to confidently tackle data-driven roles, make informed business decisions, and automate tedious spreadsheet tasks using pure Python code.

Learn to Code with Ruby

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Embarking on your software engineering journey can feel overwhelming, but Learn to Code with Ruby by Boris Paskhaver offers one of the most structured, comprehensive, and beginner-friendly pathways into the world of programming. Updated to support Ruby 3.2, this expansive course is carefully tailored for absolute beginners who want to build a rock-solid foundation in computer science concepts using one of the most readable and elegant languages in existence. Ruby's clean, expressive syntax makes it the ideal starting point for novices, yet its deep object-oriented capabilities ensure that developers gain professional-grade architectural skills. Throughout this 43-hour curriculum, students progress from fundamental operations to complex object-oriented programming concepts, mastering data structures like Arrays, Hashes, and Strings along the way. This course is highly recommended for aspiring web developers, test automation engineers, and tech enthusiasts looking to build practical problem-solving skills. By working through hands-on exercises and real-world coding challenges, learners do not just memorize syntax; they cultivate a programmer's mindset, preparing them for advanced frameworks like Ruby on Rails or transition smoothly into other programming paradigms.