Python Programming: The Complete Guide to Learn Python for Data Science, AI, Machine Learning, GUI and More With Practical Exercises and Interview Questions

Description

Are you keen to learn Python Programming? Have you wanted to learn how to become a Python programmer? If so, this guide is the perfect match for people just like you! A general-purpose programming language, whose expansion and popularity is relatively recent. This is Python, a commitment to simplicity, versatility, and rapidity of development. Python is a platform-independent and object-oriented scripting language prepared to perform any type of programming language, from Windows applications to network servers or even web pages. Python is an interpreted language. That means that, unlike languages like C and its variants, Python does not need to be compiled before it is run. Other interpreted languages include PHP and Ruby. Writing Python code is quick but running it is often slower than compiled languages. Fortunately，Python allows the inclusion of C based extensions so bottlenecks can be optimized away and often are. The numpy package is a good example of this, it’s really quite quick because a lot of the number-crunching it does isn’t actually done by Python! What Is Python For? One of the main advantages of learning Python is the possibility of creating a code with great readability, which saves time and resources, which facilitates its understanding and implementation. These factors and others that you will see later, have made Python become one of the most used programming languages. From web applications to artificial intelligence, Python uses are endless. Some benefits of using Python- Python comprises of a huge standard library for most Internet platforms like Email, HTML, etc.Provide easy readability due to use of square bracketsEasy-to-learn for beginnersHaving the built-in data types saves programming time and effort from declaring variables Inside this book, Python Programming: The Complete Guide to Learn Python for Data Science, AI, Machine Learning, GUI and More With Practical Exercises and Interview Questions, you will learn a valuable skill that will improve your coding expertise! Here's what we will talk about in this book: Python FeaturesBasics of PythonData Structures & Object-Oriented PythonFile managementConditionals, Iterables & Regex in PythonSimple recap projectsFiles & Error Handling In PythonSome powerful tips and tricks for beginner Python programmers that will fast-track your journey to becoming a master And Much More! This book will introduce you to the Python programming language and make sure that after reading the guide, you shall be aware of the basics of the language and able to create simple Python programs. This book will help you to learn Python programming, from beginner to intermediate then advanced level. As such, this book will handle everything you need to build a strong understanding of the basics of Python programming language. If you’ve been thinking seriously about digging into programming, Python Programming: The Complete Guide to Learn Python for Data Science, AI, Machine Learning, GUI and More With Practical Exercises and Interview Questions, will get you up to speed and this guide is going to furnish you with all the information you need to start writing useful software and applications in as little time as possible. Why wait any longer? “Add to Cart” to receive your book instantly! Chapter 1: Introduction to Python What Is Python? What Is Python For? 1- Python in Artificial Intelligence (AI) 2- Python in Big Data 3- Python in Data Science 4- Python in Test Frameworks 5-Python in Web Development Python Features 1- General-Purpose Language 2- It is multiparadigm 3- Python is an interpreted language 4- It is cross-platform 5- It is dynamic typing 6- It is object oriented Python Philosophy Python History And Evolution Version 1.0 Version 2.0 Version 3.0 Chapter 2: Basics of Python TYPE OF DATA Simple data Composite or structured data Variables and assignment action Expressions and sentences Operators Arithmetic operators with assignments Relational Operators (comparison) Chapter 3: Data Structures & Object-Oriented Python Immutable structured data (static) Strings are immutable Examples Tuples Indexing, trimming and other tuple operations Tuple Methods Zip function Frozen sets (Frozenset) Lists Indexing, trimming and other list operations Objects, values and references Chapter 4: Conditionals, Iterables & Regex in Python Conditional statements: if ... The execution of this construction is as follows: Flowchart that shows the execution of an "if" statement Forks: if ... else ... Flowchart of the conditional statement if ... else ... More than two alternatives: if ... elif ... else ... Flowchart of the conditional statement if ... elif ... else ... Non-Boolean Conditions Regex in Python Chapter 5: Files & Error Handling In Python Chapter 6: Common Python Questions & Answers Object-oriented programming with Python