Papadimitriou D Functional Programming in C# with Categories 2021

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pdf | 27.43 MB | English | Isbn:‎ 979-8410698016 | Author: dimitris papadimitriou | Year: 2022

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Description:

THIS BOOK INCLUDES :
Python for Beginners: A crash course to learn Python Programming in 1 Week

Python for Data Analysis: A Beginners Guide to Master the Fundamentals of Data Science and Data Analysis by Using Pandas, Numpy and Ipython

Python Machine Learning: A Step by Step Beginner's Guide to Learn Machine Learning Using Python

Here's what you'll learn through this book:
Python for Beginners
In this book You will learn:
[*] Getting started with the basics
[*] Statements, Comments, Variables, Index
[*] Data Types: Strings and Numbers
[*] Data Types: List and Tuple
[*] Data Types: Set and Dictionary
[*] Operators
[*] Functions
[*] Loops
[*] Python Practice Projects
[*] and much more

Python for Data Analysis
In this book You will learn:
[*] Data Science/Analysis and its applications
[*] IPython and Jupyter - an introduction to the basic tools and how to navigate and use them. You will also learn about its importance in a data scientist's ecosystem.
[*] Pandas - a powerful data management Python library that lets you do interesting things with data. You will learn all the basics you need to get started.
[*] NumPy - a powerful numerical library for Python. You will learn more about its advantages.

Python Machine Learning
In this book You will learn:
[*] Machine learning fundamentals
[*] How to set up the development environment
[*] How to use Python libraries and modules like Scikit-learn, TensorFlow, Matplotlib, and NumPy
[*] How to explore data
[*] How to solve regression and classification problems
[*] Decision trees
[*] k-means clustering
[*] Feed-forward and recurrent neural networks

Get your copy now!

Category:Object-Oriented Design, Python Programming, Introductory & Beginning Programming

https://1dl.net/dzfj60we81cg