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via Udemy |
Go to Course: https://www.udemy.com/course/one-week-python/
If you're seeking an efficient, engaging, and practical way to learn Python without getting overwhelmed by lengthy courses, then this Coursera course is an excellent choice. Unlike traditional 60+ hour behemoth courses that can feel daunting and difficult to finish, this course offers a quick yet comprehensive pathway into Python programming, designed with your sanity and success in mind. Created by an experienced in-person coding bootcamp instructor, this course is intentionally crafted to keep learners motivated and engaged throughout the journey. It features a variety of exercises, quizzes, challenges, and projects that foster active learning. The thoughtfully designed slides, diagrams, and cheatsheets help visualize complex concepts, making the material more accessible and easier to grasp. The course is structured with short, digestible videos averaging only 4 minutes each, avoiding the frustration of long, monotonous lectures. This approach ensures you can learn at a sustainable pace and complete the course comfortably. Content-wise, the course covers all the essential Python fundamentals needed for real-world applications. You'll start with easy installation steps, then move through topics like variables, data types (strings, booleans), control structures (conditional logic, loops), functions, and data structures (lists, dictionaries, sets, tuples). It also introduces important concepts such as object-oriented programming, modules, and error handling. These core skills will enable you to work with popular libraries like pandas, scikit-learn, Flask, and Django down the line. It's important to note what this course isn’t: a comprehensive, exhaustive guide to every feature of Python. Instead, it focuses on the 80% of concepts that are most critical and practical for immediate use. If you're looking for an in-depth exploration of every Python feature, longer courses or textbooks might be more suitable. However, for beginners or those looking to quickly build core skills, this course hits the perfect sweet spot. In summary, I highly recommend this course for anyone eager to learn Python efficiently and enjoyably. Whether you aim to dive into data science, web development, machine learning, or other disciplines, this course provides a solid foundation. Its engaging format, practical exercises, and well-designed content make it a valuable investment in your programming journey. Give it a try—you’ll appreciate the clear, concise, and human approach to learning Python!
Don't waste your time with 60+ hour behemoth courses that you never finish! Instead, try this quick and effective pathway to Python that was designed with your sanity in mind. This course is the perfect first step into the world of data science, web dev, machine learning, or any other discipline that requires Python knowledge.As an-person coding bootcamp instructor, I created this course to keep you engaged the entire way through. It's full of exercises, quizzes, challenges, and projects. The slides, diagrams, and cheatsheets were painstakingly designed to help you visualize the tricky concepts. There are no 20-minute monster videos in this course; the average video is only 4 minutes long. Everything about this course has been designed to make it actually completable!This course covers all the Python essentials you need: everything from variables to data structures to object oriented programming and modules. You'll fill up your Python toolbox so you can go on and tackle libraries like pandas, flask, scikitlearn, django, and more.What this course is not: This course is not a complete guide to every single possible feature in the Python language. It focuses on the 80% that is absolutely critical and worth your time, but there are other (much longer) courses that are more akin to Python textbooks that take the time to cover every feature. In fact, I created one of those courses, and it happens to be 40 hours long! As someone who has both created and purchased massive Udemy mega bootcamp courses, I know they are still the standard format on the platform, but maybe it's time for something a bit more human and engaging. I thought it was worth a try at least.Here's a detailed breakdown of what we cover:Painless installation for all platforms and usersWorking with numbersPython variablesStrings and string methodsBooleansConditional LogicBoolean LogicLoopsFunctionsScopeListsDictionariesSets Tuples*args and **kwargs Working with errorsCustom modules3rd party modules PIPObject Oriented ProgrammingClasses