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Courses>Programming Languages>Troubleshooting Python Application Development
DevelopmentTroubleshooting Python Application Development
Price:Paid
Length:3 hours
Content type:video
level:intermediate
Updated:19 February 2024
Published:21 August 2022
Similar courses
Opportunities
Courses>Programming Languages>Troubleshooting Python Application Development
Troubleshooting Python Application Development
4.2 (74.0)
3 hours
74 students
What you will learn
1Locate root causes by benchmarking and profiling your application
2Speed up your code with natively Python idioms
3Tackle long-running loops on big lists with NumPy
4Speed up your I/O heavy tasks with concurrent programming
5Make your apps run faster with parallel programming
6Organize your code better using Object Oriented Programming
Target audiences
1This course is for developers who have a good grasp of Python, but haven't had time to investigate the internal structure of the language.
Requirements
1Hackers in startups looking to iterate quickly or engineers in sales or data science who want to rapidly iterate performant Python solutions, without getting bogged down in the theory, will find that this course is the perfect answer to their code performance problems!
FAQ
You can view and review the lecture materials indefinitely, like an on-demand channel.
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
Description

Although you're comfortable with Python, you wonder whether you are writing fast and performant code. Once in a while, you run out of RAM or your application doesn't run fast enough, and this forces you to find a different solution. 

To further your software development career, you need to understand why and how Python executes your code so that you can create clean code that compiles in time.

Troubleshooting Python Application Development is your answer. This course takes you through a structured journey of performance problems that your application is likely to encounter, and presents both the intuition and the solution to these issues. You'll get things done, without a lengthy detour into how Python is implemented or computational theory. 

Quickly detect which lines of code are causing problems, and fix them quickly without going through 300 pages of unnecessary detail. 

About the Author

Colibri is a technology consultancy company founded in 2015 by James Cross and Ingrid Funie. The company works to help its clients navigate the rapidly changing and complex world of emerging technologies, with deep expertise in areas such as big data, data science, machine learning, and cloud computing. Over the past few years, they have worked with some of the world's largest and most prestigious companies, including a tier 1 investment bank, a leading management consultancy group, and one of the world's most popular soft drinks companies, helping each of them make better sense of its data and process it in more intelligent ways. The company lives by its motto: Data -> Intelligence -> Action.

Rudy Lai is the founder of QuantCopy, a sales acceleration startup using AI to write sales emails to prospects. After taking in leads from your pipelines, QuantCopy researches them online and generates sales emails from that data. It also has a suite of email automation tools to schedule, send, and track email performance—key analytics that all feedback into how our AI generates content.

Prior to founding QuantCopy, Rudy ran HighDimension.IO, a machine learning consultancy, where he experienced first-hand the frustrations of outbound sales and prospecting. As a founding partner, he helped startups and enterprises with High Dimension. IO's Machine-Learning-as-a-Service, allowing them to scale up data expertise in the blink of an eye.

In the first part of his career, Rudy spent 5+ years in quantitative trading at leading investment banks such as Morgan Stanley. This valuable experience allowed him to witness the power of data, but also the pitfalls of automation using data science and machine learning. Quantitative trading was also a great platform on which to learn deeply about reinforcement learning and supervised learning topics in a commercial setting. 

Rudy holds a Computer Science degree from Imperial College London, where he was part of the Dean's List, and received awards such as the Deutsche Bank Artificial Intelligence prize.

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Make the most out of your online education
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All rights reserved
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Careertail
Courses>Programming Languages>Troubleshooting Python Application Development
DevelopmentTroubleshooting Python Application Development
Price:Paid
Length:3 hours
Content type:video
level:intermediate
Updated:19 February 2024
Published:21 August 2022
Similar courses
Opportunities
Courses>Programming Languages>Troubleshooting Python Application Development
Troubleshooting Python Application Development
4.2 (74.0)
3 hours
74 students
What you will learn
1Locate root causes by benchmarking and profiling your application
2Speed up your code with natively Python idioms
3Tackle long-running loops on big lists with NumPy
4Speed up your I/O heavy tasks with concurrent programming
5Make your apps run faster with parallel programming
6Organize your code better using Object Oriented Programming
Target audiences
1This course is for developers who have a good grasp of Python, but haven't had time to investigate the internal structure of the language.
Requirements
1Hackers in startups looking to iterate quickly or engineers in sales or data science who want to rapidly iterate performant Python solutions, without getting bogged down in the theory, will find that this course is the perfect answer to their code performance problems!
FAQ
You can view and review the lecture materials indefinitely, like an on-demand channel.
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
Description

Although you're comfortable with Python, you wonder whether you are writing fast and performant code. Once in a while, you run out of RAM or your application doesn't run fast enough, and this forces you to find a different solution. 

To further your software development career, you need to understand why and how Python executes your code so that you can create clean code that compiles in time.

Troubleshooting Python Application Development is your answer. This course takes you through a structured journey of performance problems that your application is likely to encounter, and presents both the intuition and the solution to these issues. You'll get things done, without a lengthy detour into how Python is implemented or computational theory. 

Quickly detect which lines of code are causing problems, and fix them quickly without going through 300 pages of unnecessary detail. 

About the Author

Colibri is a technology consultancy company founded in 2015 by James Cross and Ingrid Funie. The company works to help its clients navigate the rapidly changing and complex world of emerging technologies, with deep expertise in areas such as big data, data science, machine learning, and cloud computing. Over the past few years, they have worked with some of the world's largest and most prestigious companies, including a tier 1 investment bank, a leading management consultancy group, and one of the world's most popular soft drinks companies, helping each of them make better sense of its data and process it in more intelligent ways. The company lives by its motto: Data -> Intelligence -> Action.

Rudy Lai is the founder of QuantCopy, a sales acceleration startup using AI to write sales emails to prospects. After taking in leads from your pipelines, QuantCopy researches them online and generates sales emails from that data. It also has a suite of email automation tools to schedule, send, and track email performance—key analytics that all feedback into how our AI generates content.

Prior to founding QuantCopy, Rudy ran HighDimension.IO, a machine learning consultancy, where he experienced first-hand the frustrations of outbound sales and prospecting. As a founding partner, he helped startups and enterprises with High Dimension. IO's Machine-Learning-as-a-Service, allowing them to scale up data expertise in the blink of an eye.

In the first part of his career, Rudy spent 5+ years in quantitative trading at leading investment banks such as Morgan Stanley. This valuable experience allowed him to witness the power of data, but also the pitfalls of automation using data science and machine learning. Quantitative trading was also a great platform on which to learn deeply about reinforcement learning and supervised learning topics in a commercial setting. 

Rudy holds a Computer Science degree from Imperial College London, where he was part of the Dean's List, and received awards such as the Deutsche Bank Artificial Intelligence prize.

Similar courses
Opportunities
Make the most out of your online education
Careertail
Copyright © 2021 Careertail.
All rights reserved
Quick Links
Get StartedLog InAbout UsCourses
Company
BlogContactsPrivacy PolicyCookie PolicyTerms and Conditions
Stay up to date
Trustpilot