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Why newbie coders should start with Python

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5 Python Online Courses for Beginners

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If you are thinking to learn a new programming language then also Python is a good choice, particularly if you are looking to move towards a lucrative career path of Data Science and Machine learning which has lots of opportunities. In this article, I am going to share some of the best online courses to learn Python in 2020... Python is an object-oriented, high-level programming language with integrated dynamic semantics primarily for web and app development. It is extremely attractive in the field of Rapid Application Development because it offers dynamic typing and dynamic binding options. Python is relatively simple, so it's easy to learn since it requires a unique syntax that focuses on readability. Developers can read and translate Python code much easier than other languages.


Python A-Z : Python For Data Science With Real Exercises!

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There are lots of Python courses and lectures out there. However, Python has a very steep learning curve and students often get overwhelmed. This course is truly step-by-step. In every new tutorial we build on what had already learned and move one extra step forward. After every video you learn a new valuable concept that you can apply right away.


5 Best Python Machine Learning Courses Online for 2020

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It includes both paid and free resources to help you learn Python for Machine Learning and these courses are suitable for beginners, intermediate learners as well as experts. If you are interested in getting started with the field of machine learning then this is an excellent place to begin. Divided into two parts the classes first discuss the importance of this area and how it can be applied to solve some of the most pressing issues of the world. Following this you will explore some of the fundamental topics like supervised and unsupervised learning, algorithms and evaluation of ML model. This comprehensive course uses a practical approach to explain the foundational jargons and the techniques behind the concepts.