Data manipulation and cleaning using powerful libraries like pandas Importing and exporting data from various sources (CSV, Excel, SQL, JSON, APIs) Writing efficient, reusable code following best practices Applying software engineering principles for reliable and maintainable projects ...
Here are the top 12 Python libraries for Data Science that are a treasure for every Python enthusiast out there. Let’s learn about all of these libraries: 1. Keras Keras is an open-source deep-learning framework written in Python. It serves as a high-level neural networks API, designed ...
Staple Python Libraries for Data Science 1. NumPy NumPy, is one of the most broadly-used open-source Python libraries and is mainly used for scientific computation. Its built-in mathematical functions enable lightning-speed computation and can support multidimensional data and large matrices. It is...
- Data Engineering Foundations Specialization What You Will Learn - Demonstrate your Skills in Python - the language of choice for Data Engineering - Implement Webscraping, and use APIs to extract data in Python - Play the role of a Data Engineer working on a real project to extract, transform...
Since all of the libraries are open sourced, we have added commits, contributors count and other metrics from Github, which could be served as a proxy metrics for library popularity.
Queue objects for inter-thread/process communication 2. Data Processing and Analysis Data processing and analysis modules in Python form the backbone of data science operations. These libraries transform raw data into meaningful insights through mathematical computations, statistical analysis, and machine le...
Skill Level: Advanced | Genre: eLearning | Language: English + srt | Duration: 5h 26m | Size: 581 MB Get up and running with the basics of Python before progressing to more advanced topics specific to data engineering. In this hands-on, interactive course, join instructor Deepak Goyal to...
Using real-world examples, you’ll build architectures on which you’ll learn how to deploy data pipelines. By the end of this Python book, you’ll have gained a clear understanding of data modeling techniques, and will be able to confidently build data engineering pipelines for tracking data...
“I’ve been stuck on a matplotlib barplot ordering issue for the past 30m… couldn’t figure out by searching. Can someone help me?” Chartify’s consistent input data formatting makes it much faster to create and iterate on charts since less time is spent on data munging. We’ll le...
Python has very powerful statistical and data visualization libraries. In my Python for Data Science articles I’ll show you everything you have to know. I’ll start from the very basics – so if you have never touched code, don’t worry, you are at the right place. I’ll focus only...