Applying software engineering principles for reliable and maintainable projects Engage in hands-on projects to reinforce your learning and gain practical experience tackling real-world data engineering challenges. Master Data Pipelines and Workflow Automation ...
This mini-course is intended to apply foundational Python skills by implementing different techniques to collect and work with data. Assume the role of a Data Engineer and extract data from multiple file formats, transform it into specific datatypes, and then load it into a single source for ana...
interactive course, join instructor Deepak Goyal to practice performing a wide range of data engineering tasks in Python to boost your technical know-how, prepare for an interview, or land a new role. This course includes Code Challenges powered ...
The full data workflow often involves many stages, from importing and processing the data to make it suitable for analysis, followed by some number crunching, and then presenting your insights. In this session, you'll see a full data workflow using some LIGO gravitational wave data (no physics...
Data engineering provides the foundation for data science and analytics, and forms an important part of all businesses. This book will help you to explore various tools and methods that are used for understanding the data engineering process using Python. The book will show you how to tackle cha...
threads=[]foriinrange(2):thread=threading.Thread(target=task)threads.append(thread)thread.start()forthreadinthreads:thread.join() 在这个例子中,虽然创建了两个线程来计算斐波那契数列,但由于 GIL 的存在,这两个线程实际上是串行运行的,计算时间并不会因为多线程而显著缩短。
Data Pipelines Pocket Reference: Moving and Processing Data for Analytics 1st Edition James Densmore著 格式:Kindle版 2021年2月发布 出版商:O 'Reilly Media, Inc. 这是我最喜欢的关于数据管道的书之一。在我的职业生涯中,一些Python和SQL代码片段对我非常有用。本书的Github存储库代码演示了如何从外部数据源...
Thus what you might lose on CPU-time, you might win back on engineering time. Python 2 vs Python 3 – which one to learn for Data Science? Maybe you have heard about this Python 2.x vs Python 3.x battle. I won’t go into details here, because I’ve written another article about...
Understanding the importance of Python as a data science tool is crucial for anyone aspiring to leverage data effectively. This course is designed to equip you with the essential skills and knowledge needed to thrive in the field of data science. This co
Why we built a new open source Python data visualization library. Have you ever been frustrated with the complicated experience of making charts in Python? We have, so we createdChartify, an open-source Python library that wrapsBokehto make it easier for data scientists to create charts. ...