Mastering 4 critical SKILLS using Python

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.

What's inside

Learning objectives

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

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

Syllabus

Getting Started

Why Programming? Python?

Who should take this course?

Teaching Style

This lecture is borrowed from my C++ course. The same concepts in C++ and python

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Covers Python 3 syntax from basic to advanced, which is suitable for both beginners looking to learn and intermediate programmers looking to deepen their understanding

Introduces software engineering and design patterns through homework assignments, which prepares learners for more advanced software development concepts

Prepares learners for competitive programming by administering problem-solving skills, which allows them to start smoothly in Div2-A/B Codeforces

Provides a solid understanding of programming concepts, which allows for a smooth start in data structure and algorithms courses

Includes extensive practice, homework, and projects with solutions, which allows learners to build skills through hands-on experience

Focuses on design skills, which are rarely covered by other courses, and project building skills, which are only partially covered by other courses

Reviews summary

Mastering python through challenging practice

According to students, this course distinguishes itself with an intense focus on developing practical Python skills through extensive hands-on work. Many learners found the challenging homework and projects to be particularly effective in building their problem-solving, project-building, and even design skills. The instructor's style is frequently highlighted as clear and concise, making complex topics easier to grasp quickly. While some reviewers noted the significant time investment required and occasional steep difficulty curve, particularly for those new to programming logic, the overall consensus points to a highly rewarding experience for dedicated students aiming to master practical coding abilities.

Good coverage of Object-Oriented Programming via practice.

"The OOP section was explained well and the exercises helped reinforce the concepts."

"Learning OOP through practical homework rather than just theory was very effective for me."

"I finally feel like I understand objects and classes after doing the homework problems."

"The course does a good job introducing OOP and relevant design ideas."

Instructor explains concepts clearly and concisely.

"The instructor is excellent at explaining complex ideas in a very clear and concise manner."

"Lectures are short, to the point, and easy to digest."

"I found the teaching style very effective; concepts clicked quickly."

"He has a knack for simplifying topics that seemed confusing elsewhere."

Unique emphasis on problem-solving, project, and design skills.

"Learning problem-solving and design skills alongside coding syntax was incredibly valuable."

"This course went beyond just teaching Python; it taught me how to think like a programmer."

"The projects helped me bridge the gap between concepts and building real applications."

"The focus on skills, not just knowledge, is what makes this course unique and effective."

Course heavily emphasizes hands-on learning with many exercises.

"The sheer volume of practice problems and homework is unlike any other course I've taken."

"This course is not for passive learners; it's packed with challenging exercises that force you to code."

"I really appreciate the amount of homework provided; it helped solidify my understanding."

"The quantity and quality of practice problems are a major strength of this course."

Problems can be challenging, especially for beginners.

"Some of the 'hard' homework problems were incredibly challenging and required a lot of effort."

"The difficulty level ramps up quite quickly, which might be tough for absolute beginners."

"This course demands significant time and mental effort to complete the exercises."

"I sometimes felt stuck on the harder problems without enough guidance."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Mastering 4 critical SKILLS using Python with these activities:

Review Python Fundamentals

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Reinforce your understanding of fundamental Python concepts like variables, data types, and operators before diving into more advanced topics.

Browse courses on Python Basics

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Review your notes and previous assignments on Python fundamentals.
Work through online tutorials or practice exercises covering basic Python syntax.
Write small programs to practice using variables, data types, and operators.

Review "Python Crash Course"

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Supplement your learning with a comprehensive Python book that covers the fundamentals and provides practical examples.

View Python Crash Course, 3rd Edition: A Hands-On,... on Amazon

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Obtain a copy of "Python Crash Course".
Read the chapters covering the topics discussed in the course.
Work through the examples and exercises in the book.
Take notes on key concepts and syntax.

Solve Algorithmic Problems on HackerRank

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Sharpen your problem-solving skills by tackling algorithmic challenges on platforms like HackerRank, focusing on problems that can be solved using Python.

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Create an account on HackerRank or a similar platform.
Choose a set of algorithmic problems suitable for your skill level.
Write Python code to solve each problem and test your solutions.
Analyze your solutions and identify areas for improvement.

Four other activities

Expand to see all activities and additional details

Show all seven activities

Create a Python Cheat Sheet

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Consolidate your knowledge by creating a Python cheat sheet that summarizes key concepts, syntax, and common functions.

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Review the course materials and identify the most important concepts and syntax.
Organize the information into a clear and concise cheat sheet format.
Include examples and explanations to illustrate each concept.
Share your cheat sheet with other students and get feedback.

Help Others in Online Forums

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Reinforce your understanding by helping other students in online forums or communities, answering their questions and providing guidance.

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Join online forums or communities related to Python programming.
Browse the forums and identify questions that you can answer.
Provide clear and helpful answers to the questions.
Engage in discussions and share your knowledge with others.

Build a Simple Text-Based Game

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Apply your Python skills to build a small project, such as a text-based game, to solidify your understanding of programming concepts and project development.

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Choose a simple game concept, such as a number guessing game or a basic adventure game.
Design the game's logic and user interface.
Write Python code to implement the game.
Test the game thoroughly and fix any bugs.

Review "Fluent Python"

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Deepen your understanding of advanced Python concepts and best practices with a book that explores the language's features in detail.

View Fluent Python: Clear, Concise, and Effective... on Amazon

Show steps

Obtain a copy of "Fluent Python".
Read the chapters covering advanced topics like object-oriented programming and design patterns.
Experiment with the code examples in the book.
Apply the concepts learned to your own projects.

Career center

Learners who complete Mastering 4 critical SKILLS using Python will develop knowledge and skills that may be useful to these careers:

Software Developer

A software developer designs, develops, and tests software applications. This course helps build a foundation in Python, covering basic to advanced syntax, which is essential for writing clean and efficient code. The emphasis on programming, problem solving, project building, and design skills directly translates to the core competencies required for any software developer. The course's iterative teaching style and extensive practice, including challenging projects, prepare potential software developers for real world development scenarios. Furthermore, exposure to software engineering and design patterns prepares one to design and develop robust applications.

See salaries and explore the career path for Software Developer

Software Engineer

A software engineer applies engineering principles to the design, development, maintenance, testing, and evaluation of software. This course builds a solid foundation in Python programming and covers essential skills such as problem solving, project building, and design, all of which are key aspects of software engineering. The course's emphasis on object oriented programming, design heuristics, and design patterns helps prepare a software engineer to build scalable and maintainable systems. The extensive practice and challenging projects simulate real world engineering scenarios, and help solidify the concepts learned. One who is interested in becoming a software engineer should see this course as a benefit.

See salaries and explore the career path for Software Engineer

Backend Developer

Backend developers are responsible for the server side logic and infrastructure of web applications. This course helps prepare an individual to become a backend developer because it covers Python, a commonly used language in backend development with frameworks like Django and Flask. The course emphasizes programming, problem solving, project building, and design skills, all of which are crucial for backend development. The skills that this course cultivates is useful in designing robust and scalable server side applications. The knowledge gained from such a course can be directly applied to the practical challenges faced by backend developers.

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Full-Stack Developer

Full stack developers work on both the frontend and backend of web applications. This course helps to prepare an individual to become a full stack developer because it covers Python, which can be used for backend development, and it develops programming, problem solving, project building, and design skills that are valuable for both frontend and backend tasks. The knowledge and skills gained from this course is directly applicable to building complete web applications, from the user interface to the server side logic. Full stack developers are highly sought after in the tech industry. Therefore, this course is a great way to start on this path.

See salaries and explore the career path for Full-Stack Developer

Web Developer

A web developer specializes in creating and maintaining websites and web applications. This course helps prepare an individual for a career as a web developer because it covers Python programming, which can be used for backend web development using frameworks like Django or Flask. The project building skills covered in this course enables web developers to create interactive and dynamic web applications. The problem solving skills that this course cultivates are useful when debugging and troubleshooting web applications. Web developers with a solid foundation in Python are highly valued in the industry. Someone looking to become a web developer may benefit significantly from this course.

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DevOps Engineer

DevOps engineers bridge the gap between development and operations, streamlining the software development lifecycle. This course helps one prepare for a career as a DevOps engineer because it covers Python, a popular language for automation and scripting in DevOps environments. The problem solving skills developed in this course are useful in troubleshooting and resolving infrastructure issues. The project building skills that this course provides may be helpful in creating automation scripts and tools for continuous integration and continuous deployment. The skills gained from this course can be used to automate infrastructure management and improve software delivery processes.

See salaries and explore the career path for DevOps Engineer

Machine Learning Engineer

Machine learning engineers develop, deploy, and maintain machine learning models. This course may be useful because it helps build a foundation in Python, which is the primary language for machine learning. The problem solving skills taught in this course are crucial for designing and implementing machine learning algorithms. The project building skills cultivated in this course are beneficial when constructing machine learning pipelines and deploying models to production. A machine learning engineer typically requires an advanced degree. This course may be useful to someone who wants to enter this exciting and demanding field.

See salaries and explore the career path for Machine Learning Engineer

Automation Engineer

Automation engineers design, develop, and implement automated systems and processes. This course provides a foundation in Python, which is a popular language for scripting and automating tasks. The problem solving skills developed in this course directly apply to designing automated solutions. The project building skills that this course provides may be useful in building automation scripts and tools to streamline workflows. Learning to build automation systems is an essential skill for any automation engineer. This course may be useful to one who wishes to become an automation engineer.

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Quality Assurance Engineer

Quality assurance engineers are responsible for ensuring the quality of software products through testing and validation. This course helps prepare one to become a quality assurance engineer because it covers Python, which is valuable for writing automated tests and test scripts. The problem solving skills developed in this course are useful in identifying and debugging software defects. The project building skills that this course provides may be useful in creating test automation frameworks and tools. Gaining a foundation in programming with Python is an excellent way to begin as a quality assurance engineer.

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Technical Lead

A technical lead guides a team of developers, making key technical decisions and ensuring project success. While this role typically requires experience, this course helps provide the foundations necessary to excel. The course's focus on programming, problem solving, project building, and design skills are essential for leading technical teams. The knowledge of software engineering and design patterns can be used to guide architectural decisions and ensure code quality. The technical lead helps teams to build robust and scalable systems. Someone aiming to become a technical lead may find this course to be particularly impactful.

See salaries and explore the career path for Technical Lead

Data Scientist

Data scientists analyze large datasets to extract meaningful insights and develop data-driven solutions. This course may be useful to data scientists because it covers Python, a language heavily used in data science for tasks like data manipulation, analysis, and visualization. The problem solving skills that this course cultivates are useful in approaching complex data challenges. The ability to design and build projects, also covered in this course, may be helpful when creating data pipelines or machine learning models. One who is interested in data science may benefit from this course and its emphasis on Python programming.

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Data Analyst

Data analysts interpret data and transform it into actionable insights. This course may be useful for an analyst because it provides a foundation in Python, a language used for data manipulation and analysis. The problem solving skills that this course cultivates may be helpful in approaching complex data challenges. The project building skills that this course provides are useful in creating data analysis pipelines and visualizations. A data analyst should consider the value of learning Python and the emphasis on its use that this course provides.

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Game Developer

Game developers create video games for various platforms. This course may be useful because it provides a foundation in Python, which can be used for game scripting, prototyping, and tool development using libraries like Pygame. The problem solving skills that this course cultivates may be useful in designing game mechanics and algorithms. The project building skills taught in this course can be helpful in creating small game projects and simulations. This course may be a good way to gain skills that will be useful when beginning a career in game development.

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Embedded Systems Engineer

Embedded systems engineers design and develop software for embedded systems, such as those found in IoT devices and automotive systems. This course may be useful because it provides a foundation in Python, which can be used for embedded scripting, testing, and automation. The problem solving skills developed in this course are also valuable in debugging and optimizing embedded software. The project building skills taught in this course may be helpful in simulating and prototyping embedded systems. An embedded systems engineer should find this foundation in Python to be a good start for entering the field.

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IT Support Specialist

An IT support specialist provides technical assistance to computer users. While this role might not directly involve extensive programming, this course may be surprisingly useful. Scripting skills, particularly in Python, can automate many routine tasks, such as system monitoring, log analysis, and software deployment. The problem solving skills developed in this course are directly applicable to diagnosing and resolving technical issues. And finally, an IT support specialist can leverage project building skills to create custom tools and utilities to improve efficiency. Knowledge of programming concepts learned in the course can be useful in this line of work.

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