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The Python Bible 5 in 1 Volumes One To Five (Beginner, Intermediate, Data Science, Machine Learning, Finance) [#300848]

Name: The Python Bible 5 in 1 Volumes One To Five (Beginner, Intermediate, Data Science, Machine Learning, Finance)
Author: Baturi

Python's popularity is growing tremendously and it's becoming more and more relevant economically and technologically. The fields of appliaction of the language range frommachine learning, overcomputer networkingtobusiness applications.
In this5 in 1 versionyou get a full collection of The Python Bible series. From the first volume on, you will be lead on astructured way to the mastery of Python. Besides the basics and the intermediate concepts, you will also learn how to apply it in areas likemachine learning,financial analysisandneural 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 truePython expert!
What You Will Learn:
Beginner Level:Basics of Programming with PythonAutomation of Simple ProcessesProgramming of Modular Python ApplicationsEasy Transition to Other Languages (Java, C++ etc.)Intermediate Level:Object-Oriented ProgrammingNetwork ProgrammingPenetration Testing with PythonRegular ExpressionsMultithreadingXML ProcessingDatabase ProgrammingLoggingData Science:Analyzing and Processing Big DataStatistical Calculations with PythonVisualization of DataWorking with NumPy, MatDescriptionlib and PandasMachine Learning:Predicting Data with Machine LearningBuilding Neural Networks with TensorflowRecognizing Handwritten Digits with Neural NetworksApplying Linear Models like RegressionK-Nearest-Neighbors ClassificationK-Means ClusteringSupport Vector MachinesFinance:Financial Analysis with PythonAnalyzing and Graphing Stock DataDescriptionting TrendlinesPredicting Share Prices with Machine LearningStart Your Journey And Become A Python Expert With The Python Bible!

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The Python Bible 5 in 1 Volumes One To Five (Beginner, Intermediate, Data Science, Machine Learning, Finance) [#300848]

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