Cloudera University’s one-day Python training course will teach you the key language concepts and programming techniques you need so that you can concentrate on the subjects covered in Cloudera’s developer courses without also having to learn a complex programming language and a new programming paradigm on the fly.
There are no prerequisites for this course.
Prior knowledge of Hadoop is not required. Since this course is intended for developers who do not yet have the prerequisite skills writing code in Scala, basic programming experience in at least one commonly-used programming language (ideally Java, but Ruby, Perl, Scala, C, C++, PHP, or Javascript will suffice) is assumed.
Through instructor-led discussion participants will learn:
1. Introduction
2. Introduction to Python
3. Variables
4. Collections
5. Flow Control
6. Program Structure
7. Working with Libraries
8. Conclusion
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Immerse yourself in our most sought-after learning style for Python for Cloudera Training in United States of America. Our hand-picked classroom venues in United States of America offer an invaluable human touch, providing a focused and interactive environment for professional growth.
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Join our public courses in our United States of America facilities. Private class trainings will be organized at the location of your preference, according to your schedule.
The United States continues to define the global frontier of technology and innovation, serving as the home to the world's most influential tech titans. From the legendary Silicon Valley and San Francisco Bay Area to emerging hubs like Austin, Seattle, and the Silicon Alley in New York, the US ecosystem remains unparalleled. Top-tier institutions such as MIT, Stanford, and Carnegie Mellon provide the research backbone for breakthroughs in Artificial Intelligence, Quantum Computing, and Cybersecurity. Our training programs are meticulously aligned with these industry-leading standards, ensuring that professionals can navigate the complexities of the modern digital landscape. We bridge the gap between academic theory and high-stakes corporate execution in the most competitive tech market on Earth.
