Dedov F. The Python Bible 7 in 1: Volumes One To Seven (Beginner, Intermediate, Data Science, Machine Learning, Finance, Neural Networks, Computer Vision)

Amazon, 2020. — 503 p. — ASIN B0868PZBCJ.Become A Python Expert From Scratch!
Python's popularity is growing tremendously and it's becoming more and more relevant economically and technologically. The fields of application of the language range from machine learning to computer networking to business applications.In this 7 in 1 version you get a full collection of The Python Bible series. From the first volume on, you will be lead on a structured way to the mastery of Python. Besides the basics and the intermediate concepts, you will also learn how to apply them in areas like machine learning, financial analysis, and neural networks. After reading this collection, you will not only understand the programming language but you will also be able to work on projects in the stated fields. You will become a true Python expert!What You Will LearnBeginner Level:
Basics of Programming with Python.
Automation of Simple Processes.
Programming of Modular Python Applications.
Easy Transition to Other Languages (Java, C++, etc..).
Intermediate Level:
Object-Oriented Programming.
Network Programming.
Penetration Testing with Python.
Regular Expressions.
Multithreading.
XML Processing.
Database Programming.
Logging.
Data Science:
Analyzing and Processing Big Data.
Statistical Calculations with Python.
Visualization of Data.
Working with NumPy, Matplotlib, and Pandas.
Machine Learning:
Predicting Data with Machine Learning.
Building Neural Networks with TensorFlow.
Recognizing Handwritten Digits with Neural Networks.
Applying Linear Models like Regression.
K-Nearest-Neighbors Classification.
K-Means Clustering.
Support Vector Machines.
Finance:
Financial Analysis with Python.
Analyzing and Graphing Stock Data.
Plotting Trendlines.
Predicting Share Prices with Machine Learning.
Neural Networks
Basics of Neural Networks.
Installing Libraries.
Handwritten Digit Recognition.
Generating Texts.
Image and Object Recognition.
Review and Resources.
Computer Vision
Loading Images and Videos.
Fundamental Editing.
Thresholding.
Filtering.
Object Recognition.