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Python for Bioinformatics-Self Learning Course
Python for Bioinformatics-Self Learning Course
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 23 lectures (4h 12m) | Size: 1.25 GB
Python for BioinformaticsWhat you'll learn:
algorithms for solving various biological problems
Python Fundamentals
Text Manipulation & Printing
Read & Write Files
List & Loops
Conditional Test & Regular Expression
Requirements
A PC and stable internet connection
If you haven't programmed in Python before, not to worry, We are here to support you at every step.
Description
This course will cover algorithms for solving various biological problems along with a handful of programming challenges helping you implement these algorithms in Python.
It offers a gently-paced introduction to our Bioinformatics Specialization preparing learners to take the first course in the Specialization.
If you haven't programmed in Python before, not to worry, We are here to support you at every step.
What will be taught in this course:
Module 1 Introduction to Python for Bioinformatics
Module 2 Python Fundamentals
Module 3 Text Manipulation & Printing
Module 4 Read & Write Files
Module 5 List & Loops
Module 6 Conditional Test & Regular Expression
After successful purchase, this item would be added to your courses.
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For other devices, you can access your library using this web app through the browser of your device.
Learntoupgrade is an online education platform providing rigorous industry-relevant programs designed and delivered in collaboration with world-class faculty and industry. Merging the latest technology, pedagogy, and services, Learntoupgrade is creating an immersive learning experience and getting you ready for the industry by empowering you with the latest skills and technology. We aim to bridge the gap between students and industry by helping students with the virtual training classes.
Who this course is for
This course will cover algorithms for solving various biological problems along with a handful of programming challenges helping you implement these algorithms in Python.
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https://nitro.download/view/0B48210FD947EDB/_Python_for_Bioinformatics-Self_Learning_Course.part1.rar
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