If you want to learn the most modern programming language in the world, then keep reading. Python is an high-level programming language. It’s a modern language, easy to learn and understand but very powerful.

Python All-in-One For Dummies is your one-stop source for answers to all your Python questions. From creating apps to building complex web sites to sorting big data, Python provides a way to get the work done. This book is great as a starting point for those new to coding, and it also makes a perfect reference for experienced coders looking for more than the basics. Apply your Python skills to data analysis, learn to write AI-assisted code using GitHub CoPilot, and discover many more exciting uses for this top programming language. 703 Pages · 2019 · 40.89 MB · English

Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You’ll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process. 541 Pages · 2017 · 12.52 MB · English

Look no further! “Python Machine Learning: A Beginner’s Guide to Scikit-Learn” is the perfect guide for you. Written by experienced data scientist, Rajender Kumar, this book takes you on a journey through the basics of machine learning and the powerful Scikit-learn library.

This book walks you through the essentials of Python, including its syntax, data types, and key ideas, beginning with the basics. As you move through the course, you will learn advanced concepts like object-oriented programming, file management, and dealing with databases, which will provide you with the abilities necessary for working on Python projects in the real world.

Python Mastery: From Novice to Coding Maestro. Are you an aspiring coder looking to unravel the mysteries of Python programming? Do you find yourself grappling with coding challenges and yearn for a guide that takes you from ‘Hello World’ to advanced coding techniques? Python has rapidly become one of the most popular and widely used programming languages over the past decade.

Unlock the potential of Quantitative Finance with Python and elevate your professional trading strategies. ‘Advanced Algorithmic Stock Trading with Python: Strategies for Professionals’ is the comprehensive guide you’ve been waiting for, crafted for those who have mastered the basics and are ready to harness the most sophisticated techniques in the market.

Quantitative analysis is used by governments, investors, and businesses (in areas such as finance, project management, production planning, and marketing) to study a certain situation or event, measure it, predict outcomes, and thus help in decision-making. In finance, it’s widely used for assessing investment opportunities and risks. 223 Pages · 2006 · 3.62 MB · English