Embark on a comprehensive exploration of Python-based web frameworks, Django and Flask. Learn about their advantages, disadvantages, features, and performance, and receive guidance on choosing the most suitable framework for your web development project.
What is Flask & How Is It Used?
Flask, a micro web framework written in Python, offers a streamlined and customizable toolset for web development. Discover why Flask has become one of the top 10 most popular frameworks among back-end web developers, which notable companies utilize Flask, and how learning this beneficial skill can enhance your marketability in the tech industry.
What Is Django & How Is It Used?
Discover the advantages of Django, a popular Python web framework highly favored by Back-end Web Developers. This comprehensive guide details what Django is, how it functions, and why it's a top choice for creating secure and complex web applications efficiently.
Pandas vs. NumPy: Which Python Library is Better for Data Analytics?
Discover the versatility of Python, a high-level, object-oriented programming language that is currently the fastest-developing language in use today. Learn about its practical applications in big data and data analytics and explore its vast library, including the two most popular data analytics libraries, NumPy and Pandas.
Which is a Better Python Library for Data Visualization: Apache Superset or Matplotlib?
Explore the world of Python libraries and their indispensable role in data visualization. Delve into two popular Python libraries, Apache Superset and Matplotlib, to understand their unique features and determine which is best suited for your data visualization needs.
How is Python Used in Data Analytics?
Uncover the myriad benefits of Python, an object-oriented, interpreted programming language known for its simplicity, versatility, and robust libraries. This article delves into how Python aids in data analytics, its applications in data mining, processing, visualization, and the challenges faced when using it for data analytics.
Top 10 Python Libraries for Data Analytics
Dive deep into the world of data analytics with Python, the fastest-growing programming language today. Discover its power through its libraries, their functionalities, and its diverse professional applications in handling and visualizing big data, all while learning about the ten most popular Python libraries for data analytics.
What is Jupyter Notebook?
Explore the dynamic capabilities of Jupyter Notebook, an open-source, free web application that supports creating and sharing documents embedded with complex data and visualization tools. Dive into the advantages of this platform that allows real-time code execution and modification, offers versatile functionalities including data cleaning and statistical modeling, and presents a flexible environment for interactive computing across various programming languages.
Python v. R for Data Analytics
Discover the key differences between two of the most popular programming languages for data analytics, Python and R, in this detailed guide. Learn how each language fares in terms of popularity, purpose, data exploration and manipulation, visualization, and ease of use, to find out which one is best-suited for the daily tasks of a Data Analyst.
Free Online Class: Making a Twitter Bot in Python
Want to try your hand at building a social media bot? In this free seminar, we'll lay the foundation for creating a Twitter bot. Whether you want to create a bot that sends personalized messages, posts useful hyperlinks, or keeps your followers up-to-date with your company's latest press releases, this class is a must.
In this seminar, you'll gain a foundational understanding of how to interact with Twitter and similar social media platforms via the Python programming language.