Description Python is a versatile programming language that can help solve problems in various fields. With PyCharm as an IDE, you will learn to build Python applications step-by-step. This book is for beginner to intermediate software developers and data scientists who want to use Python for web development and for data science projects. This book aims to provide readers with a solid understanding of Python and the use of PyCharm to expedite their learning and developing applications. From the thirteen chapters of this book, you will learn four main skills. First, you will learn how to set up PyCharm and create virtual environments for Python development within it. Second, you will explore core concepts of Python, including variables, data types, conditional and loop constructs, and object-oriented concepts. Third, you will explore the core components of web development and learn how PyCharm can be utilized to develop Python-based web applications. Lastly, you will learn how to build data pipelines using Python libraries. By the end of this book, you will be able to do some serious Python programming for building applications or for your data analysis projects. A prior knowledge of Python is not required, but familiarity with any programming language can accelerate the learning process. What you will learn Exploring code editors and integrated development environments for Python. Setting up virtual environments in PyCharm. Working with Python data types and data structures. Learning functions, modules, and packages in Python. Using Python web frameworks to develop web applications. Building data pipelines with Python libraries. Visualizing data in Python. Integrating version control systems in PyCharm. Who this book is for This book is designed for data scientists and software engineers who want to learn or enhance their Python skills at a rapid pace. Undergraduate and high school students can also benefit from this book. Table of Contents 1. Introducing Integrated Development Environments for Python 2. Installing and Setting up PyCharm 3. Using Python Environment with PyCharm 4. Exploring Python Fundamental Concepts 5. Learning Functions and Modules 6. Introducing Object-oriented Programming in Python 7. Introducing Web Development 8. Working with Databases 9. Web Development with Django Framework 10. Building Data Pipelines with PyCharm 11. Working with Pandas for Data Pipelines 12. Visualizing Data 13. Version Control with PyCharm
