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Writing Efficient Python Code

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Course Report - Writing Efficient Python Code

Course Report

Find detailed report of this course which helps you make an informed decision on its relevance to your learning needs. Find out the course's popularity among Careervira users and the job roles that would find the course relevant for their upskilling here. You can also find how this course compares against similar courses and much more in the course report.

Course Features

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Duration

4 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

4 hours

Course Description

Data scientists should spend their time extracting actionable insights from data and not waiting for the code to finish running. This will allow you to reduce the time it takes to run your Python code, and also save computational resources. This will enable you to pursue your passions in Data Scientist. This course will show you how to make your code faster, cleaner, more efficient, and take advantage of Python's built-in data structures, functions, and modules. How to time and profile code to find bottlenecks. Then, you'll practice eliminating bottlenecks using Python's Standard Library or NumPy. After completing this course, you will be able write Python code efficiently.

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Highlights

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Pedagogy

Top 30 Percentile

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Rating & Reviews

Top 30 Percentile

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Parameters

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Pedagogy

Acquire all major Python Programming skills in this course for seamless integration into your daily life. Develop a versatile skill set, allowing you to confidently apply what you've learned in various practical scenarios, enhancing your daily experiences and overall proficiency. An exceptional course in Python Programming, this stands out for its Self Paced learning approach. Learners have the flexibility to progress at their own speed, tailoring the experience to their individual needs.

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Rating & Reviews

This highly acclaimed course is among the top-rated in Python Programming, boasting a rating greater than 4 and an overall rating of 5.0. Its exceptional quality sets it apart, making it an excellent choice for individuals seeking top-notch learning experience in Python Programming.

Course Overview

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Virtual Labs

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International Faculty

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Post Course Interactions

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Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Data Types for Data Science in Python

Python Data Science Toolbox (Part 2)

What You Will Learn

Learn to write efficient code that executes quickly and allocates resources skillfully to avoid unnecessary overhead

In this course, you'll learn how to use Python's built-in data structures, functions, and modules to write cleaner, faster, and more efficient code

Then, you'll practice eliminating these bottlenecks, and other bad design patterns, using Python's Standard Library, NumPy, and pandas

Course Instructors

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Logan Thomas

Scientific Software Technical Trainer, Enthought

Logan is a member of the Technical Training team at Enthought an organization that provides digital transformation, software consulting, and training services to individuals and companies worldwide. ...

Course Reviews

Average Rating Based on 3 reviews

5.0

100%

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