Computer Programming: This Book Includes: Learn Python + SQL Programming + Arduino Programming
- Length: 644 pages
- Edition: 1
- Language: English
- Publisher: Damon Parker
- Publication Date: 2020-11-08
- ISBN-10: 1801235562
- ISBN-13: 9781801235563
- Sales Rank: #0 (See Top 100 Books)
Programming language has rendered itself as the language of choice for coding beginners and advanced software programmers alike.
This book is written to help you master the basic concepts of Python, SQL and Arduino coding and how you can utilize your coding skills to analyze a large volume of data and uncover valuable information that can otherwise be easily lost in the volume. Python was designed primarily to emphasize readability of the programming code, and its syntax enables programmers to convey ideas using fewer lines of code. The Structured Query Language (SQL) is the language of choice define, manipulate, control and query the data within a RDBMS. Starting Arduino Programming allows you to rapidly and intuitively develop your programming abilities through sketching in code. This book provides you with an understanding of the standard structure for developing Arduino code, including the functions, syntax, structure, and libraries needed to produce future tasks.
This book will provide you overarching guidance on how you can use Python to develop machine learning models using Scikit-Learn, most widely used Python-based machine learning library. Python programming, data analysis, and machine learning are widely credited in the birth of the powerhouse, which is the “Silicon Valley.” To become a machine learning expert, a sound and in-depth understanding of every nuance of this area is critical. On the other hand, you can efficiently and effectively learn and write SQL statements or queries to retrieve from and update data on relational databases such as MySQL. You will be able to install the free and open MySQL user interface with the instructions provided in this book. This book will help you comprehend the basic principles of Arduino, its advantages, benefits and applications in numerous markets and platforms.
Some of the highlights of the book include:
- Step by step instructions on how to install Python on your operating systems (Windows, Mac, and Linux).
- Concept of Python data types is presented in exquisite detail with various examples of each data type.
- Learn how to create Python variables and assign desired data type to them.
- A variety of SQL data types that are a pre-requisite for learning SQL have been explained in an easy to understand language.
- Learn how to create an effective database on the MySQL server as well as to create data tables and insert data into those tables.
- Learn CREATE VIEW, MERGE, TEMPTABLE, UNDEFINED, Updatable SQL Views, ALTER VIEW and CREATE OR REPLACE VIEW statements.
- What is Arduino Programming.
- Arduino – Program Structure
- Arduino – String Item
Finally, as an added bonus you will learn some Python, SQL and Arduino tips and tricks to take your machine learning programming game to the next level. Don’t you think it can be that easy? If you really want to have proof of all this, don’t waste any more time!
Get the book today and start right now!
Introduction Chapter 1: Introduction to Python Installation Instructions for Python WINDOWS MACINTOSH LINUX Python Variables Python Data Types Python Built-in Functions Python Built-in String methods Python Random Numbers Python Built-in List methods Python Built-in Set methods Python Built-in Dictionary methods Python Built-in File methods Python Keywords Chapter 2: Python Coding Python Numbers Python Strings Python Booleans Python Tuples Python Sets Python Dictionary Python Conditions and If statement Python “While” Loop Python “For” Loop Chapter 3: Data Analysis and Machine Learning with Python The “Vs” of Big data History of Big Data Machine Learning Basic concepts of machine learning Machine Learning in Practice Machine Learning Libraries NumPy (Base n-dimensional array package) Matplotlib (Comprehensive 2D/3D plotting) SciPy (Fundamental library for scientific computing) IPython (Enhanced interactive console) SymPy (Symbolic mathematics) Pandas (Data structures and analysis) Seaborn (data visualization) Application of machine learning using Scikit-Learn library Importing the data set Data Exploration Data Visualization Data Pre-processing Creating Training and Test subsets Building the Machine Learning Model Python Tips and Tricks for Developers Conclusion
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