Talk Python Training vs Learn Python

Talk Python Training for iOS is the perfect companion for your Python education. Do you want to learn Python and programming? One of the best resources out there for Python video courses are the ones over at Talk Python Training. This app provides the best mobile experience for our courses on iOS. It allows you to learn on the go with the ability to download your courses for offline access or simply to reduce data consumption metered networks. You can also stream the courses over WIFI or cellular networks on-demand. Whether you want to learn the Python language, become a Python web developer, see the ins-and-outs of building a startup with Python, work with exciting databases such as MongoDB, Postgres, or SQLite, you'll find great courses to watch with our app. Take that next step to become a professional developer or data scientist today. If you have suggestions, ideas, or feedback, please contact us directly: iosfeedback@talkpython.fm

Give your Python study sessions a clear next step. Learn Python combines organized reading, a code practice workspace, interview revision and quizzes so you can move from understanding an idea to trying it for yourself. Choose your learning path Begin with Python Foundations and study the language topic by topic. The course covers input and output, operators, data types, decision making, looping structures, functions and ranges. Keep going with objects and classes, string operations, arrays, mathematical functions, file handling, CSV files and exception handling. You can return to a topic when you need a refresher instead of treating every session as a new start. Understand examples by changing them The example library gives you programs to inspect and edit. In Code Lab, Guide, Code and Output views keep the explanation, source and execution result within the same workflow. Change an expression, adjust a loop or write your own short program, then run it to compare the result with your expectations. Syntax highlighting, undo and redo, text search and Go to line support the editing process. Running a program requires an internet connection and sends the code to an online execution service. This is a learning workspace with a remote runner; available execution capabilities depend on that service. Reading about a library or file operation does not guarantee unrestricted execution of every related example. Make interview revision manageable Search the Python interview question bank and open guided answers. Mark an answer as reviewed when you have studied it, save answers you want to revisit, and use unread or reviewed filters to focus the list. Move through answers with Previous and Next controls. Saved answers remain available through the Home shortcut, giving you a personal starting point for another revision session. Use quizzes to direct your practice Timed quizzes offer Bronze, Silver, Gold and Diamond levels. Results show how an attempt went, while Quiz History lets you revisit earlier attempts. The Wrong Answer Notebook collects mistakes for review. Work toward the app's learning certificates as you meet its quiz requirements. These certificates recognize in-app achievement and do not represent professional accreditation. Build on the basics Explore the NumPy path to study array creation, indexing, reshaping, arithmetic and matrix operations. Continue with joining, splitting, copying, searching and sorting arrays, plus statistical measures such as mean, median, variance and standard deviation. The machine learning path introduces data sets, regression, clustering and different learning methods. It explains supervised, unsupervised, semi-supervised and reinforcement learning through educational content. These lessons teach concepts; the app does not offer an AI tutor or automatic predictions for your own projects. Return with your place remembered Resume your last lesson from Home, check local lesson progress and see activity, weekly questions and a monthly practice challenge. Interview review states and lesson progress are kept on your device. Choose a light, dark or system appearance for reading. Whether you are starting programming, reviewing a course topic or preparing for a Python interview, combine a lesson, an experiment and a review at your own pace. Terms of Use https://www.apple.com/legal/internet-services/itunes/dev/stdeula/