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  • Authors: G. Anjaiah
  • Authors: Ivan Gridin
  • Authors: Prashanth Raghu
  • Authors: Rashmi Nanda
  • Authors: Rupa Pandit
  • Authors: Rupa Pandit
  • Authors: Ushvinder Kaur

The book delves into the structure and distinctions between the primary Python object and iterable objects. The iterable types, namely, lists and tuples, have been thoroughly defined in the structure and operations. The internals of sets and dictionaries, which are data structures that provide O(1) insertion and search, have been thoroughly discussed. Memory allocation explains how Python handles memory for tiny and large objects. 

Price ₹849.00

The purpose of this book is to help you to work with cities and learn to develop them into smart cities. You will learn to develop a plan and learn what an smart city is, how to plan the smart city infrastructure and from where do you start while developing the smart city. You will learn what kind of planning is involved and about permitting, rent, acquisition, construction planning, with whom should you work?

Price ₹699.00

Key Features
● Exposure to well-known RL techniques, including Monte-Carlo, Deep Q-Learning, Policy Gradient, and Actor-Critical.

● Hands-on experience with TensorFlow and PyTorch on Reinforcement Learning projects.
● Everything is concise, up-to-date, and visually explained with simplified mathematics.

Price ₹999.00