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    SpicyMags.xyz

    Mastering 4 critical SKILLS using Python (updated 7/2021)

    Posted By: ELK1nG
    Mastering 4 critical SKILLS using Python (updated 7/2021)

    Mastering 4 critical SKILLS using Python (updated 7/2021)
    MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
    Language: English | Size: 10.9 GB | Duration: 28h 31m

    190 problems to enhance problem-solving skills. 5 projects for Project Building and Design Skills. High-quality quizzes

    What you'll learn
    Deep Dive with Python 3 Modern Syntax from basic to advanced
    190 practice problem from easy-to-medium-to hard to gain level-1 problem-solving skills
    MANY Projects from easy to hard with their solutions for projects-building skills
    MANY Quizzes to master the concepts
    FOUR critical skills to master not just one
    A proven curriculum: Many of my thousands students highly recommend it
    Short lectures, to the point, comprehensive and easy to get
    Learn from PhD holder in AI: Teaching, Training & Coaching for many years
    Description
    Almost all other courses focus on knowledge. In this course, we focus on 4 critical skills.

    Overall:

    The course covers basic to advanced modern Python 3 syntax. Beginners will learn a lot!

    The course helps you master the 4 most important skills for a programmer

    Programming skills

    Problem-solving skills: rarely covered by other courses

    Project building skills: partially covered by other courses

    Design skills: rarely covered by other courses

    7+ times practice & homework compare to other courses + many (real & challenging) projects

    Special Teaching style: iterative, easy, and short

    In a few minutes, I cover clearly what many others need 2-3 times to explain

    This is an English Course only. Full manual English subtitles will also be provided soon.

    Content

    Fundamentals: Variables, Loops, Control Flow, Lists, Tuples, Sets, Dictionary, Functions, Recursive Functions

    Object-Oriented Programming (OOP):

    Objects, Classes, Abstraction, Inheritance, Polymorphism, Operator Overloading

    Embedded in homework: Several design principles & patterns

    Special Topics: Files, Exception Handling, Modules and Packages

    A huge set of Quizzes, Practice, Homework, and Projects

    2 styles of homework: Algorithmic (problem-solving) and applications

    Several software design concerns are embedded in the homework.

    So you are getting introduced to Software Engineering & Design Patterns

    Several quizzes to master the concepts

    Building Skills: Practice, Homework, and Projects

    One unique feature in this course is my education strategy:

    Explain, Administrate & Challenge

    Each video smoothly explains a simple concept(s)

    Typically followed by easy to medium practice to administrate the concept

    Then typically followed by an easy-medium-hard set of homework questions to challenge you

    Extensive homework from easy to medium to hard to help to build the skills.

    Most of the practice/homework questions are unique in this course

    Programming questions are mainly from my competitive programming experience

    OOP questions are mostly invented to achieve several goals:

    Mastering the OOP concepts

    Enforcing a lot of design heuristics & OOD

    Preparing you for design principles and patterns

    Small-to-large set of projects to build up project building and design skills

    Solutions to all of them.

    By the end of the journey

    Solid understanding of programming concepts and its Python syntax

    Mastering the target 4 skills

    With the administered problem-solving skills

    You can start competitive programming smoothly in Div2-A/B Codeforces

    Smooth start in Data Structure course

    Smooth start in Algorithms course

    With the administered project-building and design skills

    Smooth start in Software Engineering course

    Later, smooth start in one of the technology tracks in frontend or backend

    Don't miss such a unique learning experience!

    Who this course is for:
    Whoever curious about programming
    Learned programming, but has weak skills due to trying little challenges and projects
    Experts in other programming languages migrating to Python