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Python Programming Course

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25 Videos
8. 49 Hours
25

Course Description

Embark on a transformative journey into the world of coding with “Python Programming,” a comprehensive course designed for beginners and seasoned programmers alike. Python’s simplicity and versatility make it one of the most popular programming languages, ideal for web development, data science, artificial intelligence, and more. This course offers a deep dive into Python, providing you with the skills and knowledge to tackle real-world problems and advance your career.

What You’ll Learn:

  1. Python Fundamentals:
    • Understand basic syntax, variables, and data types.
    • Explore control structures like loops and conditionals.
    • Master functions, modules, and packages for modular code.
  2. Data Structures and Algorithms:
    • Work with lists, tuples, dictionaries, and sets.
    • Implement sorting and searching algorithms.
    • Understand data manipulation and algorithmic thinking.
  3. Object-Oriented Programming (OOP):
    • Learn about classes, objects, inheritance, and polymorphism.
    • Design and implement complex data structures and systems.
    • Explore the benefits of OOP in software development.
  4. Working with Libraries and Frameworks:
    • Utilize Python’s rich standard library.
    • Get hands-on with popular libraries like NumPy, Pandas, and Matplotlib.
    • Discover frameworks for web development, like Django and Flask.
  5. File Handling and Error Management:
    • Read from and write to files in various formats.
    • Handle exceptions and errors gracefully.
    • Learn best practices for debugging and testing.
  6. Practical Applications and Projects:
    • Apply your skills to real-world projects, including web scrapers, data analysis tools, and more.
    • Engage in hands-on exercises to solidify your understanding.
    • Build a portfolio of projects that showcase your coding skills.

Why This Course?

  • Expert Instruction: Learn from experienced Python developers with real-world experience.
  • Interactive Learning: Engage with a mix of video lectures, coding exercises, and practical projects.
  • Comprehensive Resources: Access a wealth of resources, including code samples, documentation, and community support.
  • Flexible Learning: Study at your own pace with lifetime access to course materials.

By the end of the “Python Programming” course, you’ll have a robust understanding of Python and the ability to apply it in various domains. Whether you’re looking to enter the tech industry, enhance your programming skills, or pursue advanced studies in data science and AI, this course is your gateway to success. Join us and unlock the limitless potential of Python!


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Step-by-Step Courses List

Chapter One:

Module 1: Getting Started with Python

  1. Module 1 File
  2. Intro to Course and Instructor
  3. Getting Started with Python
Chapter Two:

Module 2: Working with Primitive Data Types

  1. Module 2 File
  2. Working with Primitive Data Types
  3. Working with Primitive Data Types Part 2
  4. Working with Primitive Data Types Part 3
  5. Working with Primitive Data Types Part4
  6. Working with Primitive Data Types Part4 Answers
Chapter Three:

Module 3: Working with Multiple Assignments Statements

  1. Module 3 File
  2. Working with Multiple Assignments Statements
Chapter Four:

Module 4: Convert Types in Python

  1. Module 4 File
  2. Convert Types in Python
Chapter Five:

Module 5: Creating Lists

  1. Module 5 File
  2. Creating Lists
Chapter Six:

Module 6: Modifying Lists

  1. Module 6 Notes
  2. Modifying Lists
Chapter Seven:

Module 7: Sorting and Reversing Lists

  1. Module 7 File
  2. Sorting and Reversing Lists
Chapter Eight:

Module 8: Slicing Lists

  1. Module 8 File
  2. Slicing Lists
Chapter Nine:

Module 9: Working With Operators

  1. Module 9 File
  2. Working With Operators
  3. Working With Operators Part2
  4. Working With Operators Part3
Chapter Ten:

Module 10: Determining Operator Precedence

  1. Module 10 File
  2. Determining Operator Precedence
Chapter Eleven:

Module 11: Working with IF Statements

  1. Module 11 File
  2. Working with IF Statements
Chapter Twelve:

Module 12: Working With For Loops

  1. Module 12 File
  2. Working With For Loops
Chapter Thirteen:

Module 13: Working With While Loops

  1. Module 13 File
  2. Working With While Loops
Chapter Fourteen:

Module 14: Nesting for Loops

  1. Module 14 File
  2. Nesting for Loops
Chapter Fifteen:

Module 15: Reading Files

  1. Module 15 File
  2. Reading Files Part1
  3. Reading Files Part2
Chapter Sixteen:

Module 16: More on Files

  1. Module 16 File
  2. More on Files
Chapter Seventeen:

Module 17: Merging Emails

  1. Module 17 File
  2. Merging Emails
Chapter Eighteen:

Module 18: Reading Console Inputs and Formatting Outputs

  1. Module 18 File
  2. Reading Console Inputs and Formatting Outputs
Chapter Ninteen:

Module 19: Reading Command Line Argument

  1. Module 19 File
  2. Reading Command Line Argument
Chapter Twenty:

Module 20: Defining Functions

  1. Module 20 File
  2. Defining Functions
Chapter Twenty One:

Module 21: Using Default Argument

  1. Module 21 File
  2. Using Default Argument

$53

course Syllabus

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Frequently Asked Questions

Instructional methods, course requirements, and learning technologies can vary significantly from one online program to the next, but the vast bulk of them use a learning management system (LMS) to deliver lectures and materials, monitor student progress, assess comprehension, and accept student work. LMS providers design these platforms to accommodate a multitude of instructor needs and preferences.

Online education may seem relatively new, but years of research suggests it can be just as effective as traditional coursework, and often more so. According to a U.S. Department of Education analysis of more than 1,000 learning studies, online students tend to outperform classroom-based students across most disciplines and demographics. Another major review published the same year found that online students had the advantage 70 percent of the time, a gap authors projected would only widen as programs and technologies evolve.

All new learning innovations are met with some degree of scrutiny, but skepticism subsides as methods become more mainstream. Such is the case for online learning. Studies indicate employers who are familiar with online degrees tend to view them more favorably, and more employers are acquainted with them than ever before. The majority of colleges now offer online degrees, including most public, not-for-profit, and Ivy League universities. Online learning is also increasingly prevalent in the workplace as more companies invest in web-based employee training and development programs.

The concern that online students cheat more than traditional students is perhaps misplaced. When researchers at Marshall University conducted a study to measure the prevalence of cheating in online and classroom-based courses, they concluded, “Somewhat surprisingly, the results showed higher rates of academic dishonesty in live courses.” The authors suggest the social familiarity of students in a classroom setting may lessen their sense of moral obligation.

Choosing the right course takes time and careful research no matter how one intends to study. Learning styles, goals, and programs always vary, but students considering online courses must consider technical skills, ability to self-motivate, and other factors specific to the medium. Online course demos and trials can also be helpful.
Our platform is typically designed to be as user-friendly as possible: intuitive controls, clear instructions, and tutorials guide students through new tasks. However, students still need basic computer skills to access and navigate these programs. These skills include: using a keyboard and a mouse; running computer programs; using the Internet; sending and receiving email; using word processing programs; and using forums and other collaborative tools. Most online programs publish such requirements on their websites. If not, an admissions adviser can help.

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Description

Embark on a transformative journey into the world of coding with “Python Programming,” a comprehensive course designed for beginners and seasoned programmers alike. Python’s simplicity and versatility make it one of the most popular programming languages, ideal for web development, data science, artificial intelligence, and more. This course offers a deep dive into Python, providing you with the skills and knowledge to tackle real-world problems and advance your career.

What You’ll Learn:

  1. Python Fundamentals:
    • Understand basic syntax, variables, and data types.
    • Explore control structures like loops and conditionals.
    • Master functions, modules, and packages for modular code.
  2. Data Structures and Algorithms:
    • Work with lists, tuples, dictionaries, and sets.
    • Implement sorting and searching algorithms.
    • Understand data manipulation and algorithmic thinking.
  3. Object-Oriented Programming (OOP):
    • Learn about classes, objects, inheritance, and polymorphism.
    • Design and implement complex data structures and systems.
    • Explore the benefits of OOP in software development.
  4. Working with Libraries and Frameworks:
    • Utilize Python’s rich standard library.
    • Get hands-on with popular libraries like NumPy, Pandas, and Matplotlib.
    • Discover frameworks for web development, like Django and Flask.
  5. File Handling and Error Management:
    • Read from and write to files in various formats.
    • Handle exceptions and errors gracefully.
    • Learn best practices for debugging and testing.
  6. Practical Applications and Projects:
    • Apply your skills to real-world projects, including web scrapers, data analysis tools, and more.
    • Engage in hands-on exercises to solidify your understanding.
    • Build a portfolio of projects that showcase your coding skills.

Why This Course?

  • Expert Instruction: Learn from experienced Python developers with real-world experience.
  • Interactive Learning: Engage with a mix of video lectures, coding exercises, and practical projects.
  • Comprehensive Resources: Access a wealth of resources, including code samples, documentation, and community support.
  • Flexible Learning: Study at your own pace with lifetime access to course materials.

By the end of the “Python Programming” course, you’ll have a robust understanding of Python and the ability to apply it in various domains. Whether you’re looking to enter the tech industry, enhance your programming skills, or pursue advanced studies in data science and AI, this course is your gateway to success. Join us and unlock the limitless potential of Python!


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7 reviews for Python Programming Course

  1. Priya Nair –

    This Python course was exactly what I needed! It starts from the basics and gradually builds up to advanced concepts. The hands-on projects made learning so much fun

  2. Ethan Brooks –

    Clear explanations and well-paced modules. I especially appreciated the sections on data structures and functions. Great for beginners

  3. Sana Rahman –

    A comprehensive and beginner-friendly course! I had no prior coding experience, but by the end, I was building small apps with confidence. Highly recommended.

  4. Leonardo Silva –

    Good material and solid instruction. I wish there were more examples on file handling and APIs, but still a strong foundation for newcomers

  5. Amelia Scott –

    This course demystified Python for me. The instructor explained complex topics like loops and classes with ease. Great job

  6. Rohit Deshmukh –

    This course helped me finally understand Python! The real-world examples made it easy to follow, and the assignments were super helpful

  7. Jessica Lee –

    Solid introduction to Python. The instructor explained each concept clearly, and the quizzes helped reinforce learning. Great for self-paced learners

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