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Torrent Details For "Pluralsight | Boost Data Science Productivity with PyCharm [FCO] GloDLS"

Pluralsight | Boost Data Science Productivity with PyCharm [FCO] GloDLS

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Details
Name:Pluralsight | Boost Data Science Productivity with PyCharm [FCO] GloDLS
Description:


Created by: Dan Tofan
Language: English
Released: Mar 29, 2019
Torrent Contains: 37 Files, 7 Folders
Course Source: https://www.pluralsight.com/courses/pycharm-boost-data-science-productivity

About

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.



YouTube Video:
Category:Tutorials
Language:English  English
Total Size:426.98 MB
Info Hash:3BCC6CDEFD40C28A9B01C990CBE22F9484228113
Added By:SaM Super Administrator
Date Added:10-04-2019 17:09:22
Torrent Status:Torrent Verified


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