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: Programming: 3 Manuscripts: Python Crash Course, Python Machine Learning and Python Data Science for Beginners
: Steve Blair
: Amazon Digital Services LLC
: 2019
: epub/azw3/pdf(conv.)
: 456
: 10.5 Mb
: English

How many times have you said to yourself, I wish I could program in Python, but all the books are too confusing!? Well, Im here to help!
Ive developed an easy, three-book method to not only get you started in Python, but to take you through both coding AND data analysis, so you can become proficient in a matter of weeks!
Most Python training books and courses aim at people who already possess extensive programming skills, and are looking to expand the list of computer languages they're competent in.
But what if you dont have a single bit of programming experience?
Thats where this three-book method comes in! These books contain proven steps and strategies to learn Python Programming quickly and easily, and also to guide you through both Python Machine Learning and Data Science! These volumes will show you the way not only to programming, but will pilot you through the Python Ecosystem, and teach you to use your new skills to succeed!
Heres what you get:
Book 1: Python Crash Course will teach you--
Understanding The Python Coding Language
Gttng Pthn on Your Stm
The Python Code Basics
Inheritances In The Python Code
Working With The Python Generators
What Are Regular Expressions?
The Classes And Objects In Python
What The Operators Are, And How To Use Them
The Variables in Python
Troubleshooting a Python Program
Python is a powerful, flexible, high-level programming language, easy to learn and very powerful because of its simple syntax, which allows short lines of code. This enables programmers to develop more complex programs in less time.
Book 2: Python Machine Learning for Beginners will show you
Understanding The Basics of Machine Learning
Machine Learning as a Multi-Disciplinary Field
The Different Types of Machine Learning
Python Ecosystem for Machine Learning
Getting Familiar with Python and SciPy
Loading Machine Learning Data
Understanding Your Data with Descriptive Statistics
Understanding Your Data with Visualization
Preparing Your Data for Machine Learning
Real-World Applications of Machine Learning
Best Practices to Follow
The Python Ecosystem includes SciPy, NumPy, Matplotlib, Pandas, and scikit learnthese provide virtually all of the Machine Learning algorithms.
Book 3: Python Data Science will teach you
Understanding Data Science
Getting Started with Python for Data Scientists
Descriptive statistics
Data Analysis and Libraries
NumPy Arrays and Vectorized Computation
Data Analysis with Pandas
Data Visualization
Data Mining
Classifying with Scikit-learn Estimators
Giving Computers the Ability to Learn from Data
Training Machine Learning Algorithms












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