Python for Everyone: Learn Essential Syntax Feat. Open Source Package Distribution (Inflearn Original)

Python the Python way!
Shortcut to becoming a skilled engineer 🚀

Stop worrying, complete Python A to Z 🏃‍♂️
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• ✅ Python Basics to Advanced Grammar
• ✅ Python metaclass design
• ✅ Concurrent Programming

In-depth Python grammar lecture!
How to prepare for Python technical interviews & deploy open source builds !

This course is designed for those who know the basic grammar of Python and can use it , job seekers who want to find a job in a field that utilizes Python , developers (engineers) who are preparing to change careers , and those who want to study the internal principles of Python in more depth . It is designed to help you learn Python metaprogramming and package build distribution methods . It is not a simple mechanical explanation, but rather a live course where you code together .

Python Intermediate and Advanced for Everyone
Object-oriented design, metaclass core operation principles and functions

From the explanation of Python metaclass to how it works

In a wide range of fields utilizing Python, various open sources are being developed and global services are already being provided. It is also important that a large amount of open sources are being provided. The key is to understand the unique characteristics and operating mechanisms of the Python language . This means that the core values and principles provided by Python must be properly understood and used.

There is no change in the fact that Python as a language must be used as a tool in various fields such as web programming, application programming, big data, AI (machine learning), and data analysis.

If you want to grow into a good developer (engineer) from the perspective of sophisticated operation, source code improvement, and performance improvement using Python, you must know the internal workings of Python's dynamic types and class objects .

I have watched the growth of various colleagues while collaborating and educating many people in the field, such as developers, engineers, and analysts. Some people read the specs (document) first and start coding without writing code directly, some people use Python as a utility after learning the appropriate theory, and some people use Python while going back and forth between theory and practice. The conclusion from various patterns was that people who learn the unique operating principles of programming languages and apply them to practice grow very quickly. This will be related to moving to the desired job, increasing salary, and starting a startup.

Based on the above experience, I prepared this lecture to provide a theory that fits the unique grammar features of Python that are most difficult for those learning Python to understand and that stand out in open source collaboration .

Rather than simply understanding the core principles theoretically, you will naturally understand them through the process of coding together in this class.
Additionally, we will organize basic Python grammar and tips that should never be forgotten but can easily be forgotten .

Lecture Table of Contents

0. Preferences
1. Python Advanced (1) - Frequently used and important grammar
2. Python Advanced (2) - Important usage patterns of classes and methods
3. Python Advanced (3) - Metaclass, Descriptor
4. Python Advanced (4) - Package building, distribution, open source advantages

The first part of the lecture (0-2) explains the easily forgotten contents learned in the basic and intermediate courses, as well as important grammar from the perspective of class inheritance and method reuse . Then, from section 3 onwards, the most important concept of metaclass and more extended descriptors in this course are explained in detail with examples of creating utility classes.

This will provide you with the basic knowledge to read, understand, and improve the source code of widely used and well-known packages and frameworks on Github, PyPI, etc.

In conclusion, through deep and extensive knowledge of Python grammar, you can skillfully expand your Python knowledge that can be used at any time in collaborations in various fields, and improve your source code reading skills to develop the ability to easily solve problems .

After taking this lecture

This lecture is not a lecture where you simply read and pass over the functions in the reference documentation. It explains in detail the internal structure and mechanism of the dictionary (key-value) method of the Python language and seeks to expand your knowledge through this.

By the end of the course, you will have the ability to share, improve, and discuss your source code with many people using Python. Let's study together as best as we can so that it can become the key to improving your programming skills.

I recommend this lecture to you!

(Inflearn Original - This course is for those who have learned the basics of Python and can use basic Python 🙌)

Repetitive tasks

Office workers and college students who are tired of endless repetitive tasks

One more time!

Intermediate and Advanced Grammar Challenge! Python Beginner

Algorithm?

For those who want to understand programming languages in depth

Parjalal challenge

For those who want to utilize the advanced package

Image shots learned in class

This course covers the practical process of developing a simple utility application after learning grammar and then building and distributing it directly to the official Python package repository, PyPI (Python Package Index) .

Related Roadmap

Inflearn Original Series : Python

#Concept establishment #Practical foundation #Data type
This course was designed with practical use in mind, rather than just a 'taste' of the basics covered in existing Python introductory courses.

#Basics perfect review #Basics waiting #Solving various quizzes
This course was created to help you write more efficient, safe, and clean code and improve your problem-solving skills through a basic Python course.

#Data analysis #Business automation
Get ready to learn advanced Python syntax and package usage through this intermediate programming course that will take you one step beyond beginner level!

#Metaprogramming #Python package creation Current lecture
In the beginner level of Python, we will study the internal principles of Python in depth for job seekers and career changers!

#ConcurrentProgramming #PythonParallelism #PythonParallelism
At the intermediate level of Python usage, it provides knowledge on Python concurrency and parallelism to job seekers and career changers.

All example source files and PPTs used in class are provided in their original form.