Each chapter provides detailed explanations, practical examples, and best practices, helping readers understand not only how Python works but also how to apply Python effectively in real-world scenarios. The book focuses extensively on Python's powerful libraries and frameworks like Django, Flask, Pandas, NumPy, TensorFlow, and PyTorch. Readers will gain the skills needed to create robust applications, manage large datasets efficiently, automate repetitive tasks, and deploy machine learning models into production. With this comprehensive reference, learners will confidently navigate Python's vast ecosystem, improve productivity, and achieve coding excellence.
Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, CY, CZ, D, DK, EW, E, FIN, F, GR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.