Comprehensive and Practical Python Programming Fundamental
Published 1/2024
Duration: 5h18m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 1.85 GB
Genre: eLearning | Language: English
Published 1/2024
Duration: 5h18m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 1.85 GB
Genre: eLearning | Language: English
Step by step guide for learning Fundamental Python
What you'll learn
Basic syntax of python
Programming fundamental logics
Data type in python
Python fundamental Built in function
OOP, Looping, Error handling in python
File Management
All practice python fundamental
Requirements
No programming experience needed
Description
Python
is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation
This course guides you to learn programming fundamental using python, this is for beginner level so you can make your first step to become a web programmer or a data scientist, machine learning engineer and any positions that require python as a basic requirement
NO PROGRAMMING SKILL OR EXPERIENCE NEEDED
, I try to make it as simple as it can so you can follow it step by step and enjoy the journal of learning programming (python)
Tips for you to get maximum benefits of this course:
1. I do you see (see the examples i gave to you)
2. Do it yourself (repetitive is key, try it yourself, don't only see it, practice it)
3. Explore the things outside the explanation but still on the same topic
Principles:
Beautiful is better than ugly.
Explicit is better than implicit.
Simple is better than complex.
Complex is better than complicated.
Flat is better than nested.
Sparse is better than dense.
Readability counts.
Special cases aren't special enough to break the rules.
Although practicality beats purity.
Errors should never pass silently.
Unless explicitly silenced.
In the face of ambiguity, refuse the temptation to guess.
There should be one– and preferably only one –obvious way to do it.[a]
Although that way may not be obvious at first unless you're Dutch.
Now is better than never.
Although never is often better than
right
now.
If the implementation is hard to explain, it's a bad idea.
If the implementation is easy to explain, it may be a good idea.
Namespaces are one honking great idea – let's do more of those!
I open for your feed forward, thanks for taking this course and hopefully you will be success in your learning
Thank you and Good luck!
Who this course is for:
Everyone who wants to learn python
Programmer Candidate
Student
Programmers who want to switch programming language
Data Analyst Candidate
Machine Learning Engineer Candidate
Everyone
More Info