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[FreeCoursesOnline.Me] [Pluralsight] Boost Data Science Productivity With PyCharm [FCO]
TORRENT SUMMARY
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PyCharm is an incredible Python integrated development environment. This course shows tips, tricks, and techniques to boost your Python productivity with PyCharm, with step-by-step demos targeted at Data Science projects.
Description
Being productive with the tools at your disposal is key to the success of any data scientist. Pycharm brings many coding, debugging, and scientific tools to the table. In this course, Boost Data Science Productivity with PyCharm, you will gain the ability to use PyCharm’s most relevant features for Data Science projects. Features such as highlighting typos and visual debugging reduce development friction and empower you to focus on finishing your Data Science projects faster. First, you will learn to understand code faster, by finding usages, creating classes diagrams, viewing hierarchies, and accessing documentation. Next, you will discover how to write better code faster by using PyCharm features, such as code completion, refactoring, and inspections, as well as how to debug code by using breakpoints, stepping, and remote debugging. Finally, you will learn how to explore data by using the scientific mode in PyCharm, Jupyter notebooks, running R script, and SQL queries. When you’re finished with this course, you will have a great set of tips, tricks, and techniques to boost your Python productivity in your Data Science projects.
Level
• Intermediate
About Author
As a software engineer and lifelong learner, Dan wrote a PhD thesis and many highly-cited publications on decision making and knowledge acquisition in software architecture. Dan used Microsoft technologies for many years, but moved gradually to Python, Linux and AWS to gain different perspectives of the computing world.
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FILE LIST
Filename
Size
01.Course Overview/0101.Course Overview.mp4
15.3 MB
02.Getting Started/0201.Setting Expectations.mp4
12.5 MB
02.Getting Started/0202.PyCharm Editions.mp4
11.6 MB
02.Getting Started/0203.Installation.mp4
6.2 MB
02.Getting Started/0204.Customizing PyCharm.mp4
12.6 MB
02.Getting Started/0205.Interpreters.mp4
10 MB
03.Understanding Code/0301.Projects.mp4
13 MB
03.Understanding Code/0302.Searching.mp4
12.6 MB
03.Understanding Code/0303.Find Usages.mp4
6.8 MB
03.Understanding Code/0304.Diagrams.mp4
8.4 MB
03.Understanding Code/0305.Hierarchies.mp4
10.5 MB
03.Understanding Code/0306.Documentation.mp4
6.1 MB
03.Understanding Code/0307.Running Code.mp4
22 MB
03.Understanding Code/0308.Running Tests.mp4
17.1 MB
04.Writing Better Code/0401.Code Completion.mp4
5.6 MB
04.Writing Better Code/0402.Refactoring.mp4
6 MB
04.Writing Better Code/0403.Demo.mp4
20.6 MB
04.Writing Better Code/0404.Inspections.mp4
13.5 MB
04.Writing Better Code/0405.Testing.mp4
22.7 MB
04.Writing Better Code/0406.Version Control with Git.mp4
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