Python 3: Beginners Guide to Python Programming
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 4.12 GB
Genre: eLearning Video | Duration: 56 lectures (9 hour, 53 mins) | Language: English
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 4.12 GB
Genre: eLearning Video | Duration: 56 lectures (9 hour, 53 mins) | Language: English
Learn how to program in Python 3, improve your hands-on programming skills and become a confident python programmer
What you'll learn
Students will learn how to programming in python starting from basics
Students will learn how to code in python hands on
After every significant learning we take up a real life example (300 lines minimum) and code from scratch.
Post each lecture Students will be able to assess their skills using assessments
Complete code is provided with proper comments section wise along with assessments.
Requirements
your desire to learn python is good enough
No prior programming experience is required
you should be able to work on programming editors and IDEs
Description
Learn how to program in Python 3 and become an expert. This course will help you improve your programming skills by providing assessments at the end of each lecture and also practice python programs for self assessment and become a confident programmer.
This course is also good for college and school students who are interested in learning programming in any language. Python programming is the best bet for them.
After completing this course:
You should be able to confidently write your own python programs with great confidence
Confidently jump is specialized areas of python like Neural Networks, Machine Learning, data Visualization, Web Development etc
Who this course is for:
College and School Students who are interested in learning any programming language
People interested in learning python to enhance their programming experience
People who are serious in developing programs as part of project/work
Experienced programmers interested in learning python as quickly and thoroughly as possible
Programmers who are interested laying foundation for Machine Learning and AI using Python.