Discover the power of Django, the Python-based web application framework, and revolutionize your web development skills with our comprehensive book. Django empowers programmers to create dynamic websites by providing comprehensive tools, including URL routing, database interaction, templating techniques, user management, and more.
From Twisted Python Projects by Daniel Aldred Imagine a world where learning Python and Guizero is not only exciting but also loaded with twisted, fun-filled projects. Welcome to Twisted Python Projects, a book designed to take you on an engaging… Continue Reading →
From Think Like a Data Analyst by Mona Khalil Welcome to the world of analytics, where data holds the key to unlocking valuable insights and driving informed decisions. Whether you’re an aspiring data scientist, a seasoned analyst, or someone looking… Continue Reading →
From Fight Fraud with Machine Learning by Ashish Ranjan Jha Step into the age of AI-powered fraud detection with Fight Fraud with Machine Learning, where every challenge is an opportunity to innovate. This comprehensive guide seamlessly blends theory with hands-on… Continue Reading →
This article discusses alternatives to lists and tuples for use a data structures.
Build a Robo Advisor with Python (From Scratch): Automate your financial and investment decisions teaches you how to construct a Python-based financial advisor of your very own!
With Let’s Talk Python by Pavel Anni
Is your kid (or grandkid/niece/nephew/etc.) interested in coding? Do you want to help them learn (and learn a bit yourself)? This book will help you do it!
Read on for more.
An excerpt from Julia for Data Analysis by Bogumil Kaminski
This article dives into working with data in dataframes with Julia.
Read it if you’re a data scientist or anyone who works with lots of data, and if you’re interested in the Julia language.
An excerpt from Julia for Data Analysis by Bogumil Kaminski
Many languages designed for doing data science provide ways to perform vectorized operations, which is also often called broadcasting. In Julia, broadcasting is also supported. In this article you will see how to use it.
Read it if you’re a data scientist or anyone who works with lots of data, and if you’re interested in the Julia language.
From Pandas Workout by Reuven Lerner
This article discusses using multi indexes in Pandas.