Your First Python Program: Get the basics to start your Python journey today

Description

"Your First Python Program" is a beginner's guide to the Python programming language. This book is written for readers with varying degrees of programming experience to give them a firm grasp of Python and its fundamentals. We care about your time, so we worked hard to condense and optimize the content so you can learn Python as quickly as possible. We explain each topic and then put it into practice right away by showing you code examples. At the end of this book, we hope you will see Python as a powerful tool whose potential can lead you down many different career routes, including but not limited to analytics, data engineering, data science, visualization, statistics, web development, microservices, and more. Python has become extremely popular among both beginners and experienced developers in recent years, thanks to its ease of use, readability, and versatility. As an interpreted, high-level, general-purpose programming language, Python is used in a wide range of fields such as web development, data analysis, AI, and scientific data processing. Data types, control flow, functions, modules, and file manipulation are only some of the fundamentals of Python covered in this book. Object-oriented programming, libraries, and frameworks including NumPy, pandas and matplotlib. We'll also look at Flask, Django, PyQt, and Tkinter, even though they're not covered in detail in this book. There is also a Github repository for you to clone and explore, it has examples you can experiment and learn with. This book makes no assumptions about the development environment in which you'll be working. You can use it in a Mac, Linux, or Windows environment without making many adjustments. So that the time you spend reading isn't wasted, we worked hard to condense and optimize the content so you can learn Python as quickly as possible. We explain each topic and then put it into practice right away by showing you code examples. At the end of this book, we hope you will see Python as a powerful tool whose potential can lead you down many different career routes, including but not limited to analytics, data engineering, data science, visualization, statistics, web development, microservices, and more. Our overarching goal in authoring these pages is to pique your interest and give you a firm grasp of the fundamentals so that you can pursue more specialized applications later on. I appreciate you letting me share in your initial steps, and I hope they are successful ones. About Author: He is a Systems Engineer and Business Administrator with 15 years of experience in Higher Education, both in educational management and in teaching. He has been Director of Engineering and Architecture at the Universidad Privada del Norte and campus Director for Universidad Continental. In addition to developing the Software Engineering line and adapting it to international standards such as ABET and the Computer Curricula through innovations in the study plans. He has specializations in Project Management from the State University of New York, is a Six Sigma Black Belt from the Universidad del Pacífico and the Lean Six Sigma Institute of Mexico, he also is a Scrum Master from Scrum.org, has a diploma in Machine Learning from the Stanford University and another of Data Science by IBM. He has worked for companies such as Banco de Credito del Perú, The General Comptroller Office of Peru, IBM, UNESCO and educational institutions such as Universidad San Ignacio de Loyola, Universidad Privada del Norte, Universidad Continental, CERTUS and CIBERTEC. He is the founder and principal data scientist of Estrategia Uno, a business solutions consulting firm based in Peru. Introduction Chapter 1: Introduction to Python is Python? is Python important? up your development environment Environments IDEs Chapter 2: Basic Syntax and Data Types naming rules casting and String functions Concatenation Indexing Slicing strings and variables on the same line user input and Expressions Operators operators operators Flow Statements and continue Chapter 3: Functions and Modules arguments arguments argument values Scope and project structure Chapter 4: Object-Oriented Programming variables variables methods classes Chapter 5: Working with Data Tuples, Sets and Dictionaries and Writing Files and deleting files CSV and JSON Data Chapter 6: Advanced Topics classes special methods functions comprehensions with statement itertools module functools module and error handling Handling Chapter 7: Python Libraries and Frameworks Pandas, and Matplotlib glance on Web frameworks: Flask and Django glance on Desktop Apps: PyQt and Tkinter Chapter 8: Conclusion of key concepts resources for learning and development steps in your Python journey