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Q: Can I fully grasp the course content if I complete watching the course video?Ī: The learning of MOOC course has its particularity for example the duration is shorter and the basis of each learner is different, so we provide more in-video quiz, programming questions, small projects cases and reference answers for futher learning.
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As long as you learn the content in the video and reference materials carefully, complete the homework and conduct more programming practice after class, most of the content can be mastered.
#Ho to use pycharm for python 2019.2 how to
In the course, we try to use simple cases to let the learners understand how to process data using Python. Q: Can non-computer majors understand this course?Ī: This course is mainly for the learners who have learned programming languages or have basic concepts of programs such as data structure, sequence, selection and loop control structure and common algorithms, but are not limited to computer majors. Note: Videos are in Chinese with English subtitles and all other materials are in English in this course. The course is mainly for non-computer majors but can also serve as a good reference for others too.
#Ho to use pycharm for python 2019.2 update
After a while, you might need to update your Anaconda installation. Update (7): Update Anaconda installation. In a separate post I will describe how you can use TensorBoard to visualize the learning process of a neural network. Theory and methodolody in this course can be applied to problems in other fields flexibly. Now you are able to use P圜harm as your Python GUI to develop machine learning algorithms with TensorFlow. Also, it discusses the fast, convenient and efficient data processing capacity of Python in humanities and social sciences fields like literature, sociology and journalism and science and engineering fields like mathematics and biology, in addition to business fields. This course, as a whole, based on Finance data and through the establishment of popular cases one after another, enables learners to feel the simplicity, elegance, and robustness of Python more vividly. Some of the most requested features have been implemented.
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P圜harm 2019.2 release highlights: Improved Jupyter Notebook integration. Starting with the basic syntax of Python, the course will guide students step by step on how to local and network data acquision, data presentation, statistic analysis and visualization of data, and finally a design of a simple GUI to present and process data. P圜harm 2019.2 was released today with exciting new features, initial Python 3.8 support, improved Jupyter Notebook experience, and many more other changes. This course is designed for non-computer majors to acquire comprehensive and practical knowledge of Python.