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Introduction to Python

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Dedicated Tutors

25 Videos
8.49 Hours
25 Test Questions

Course Description

Dive into the world of programming with “Introduction to Python,” a comprehensive course designed to equip you with the essential skills and knowledge needed to master one of the most popular and versatile programming languages today. Whether you’re a complete beginner, an aspiring data scientist, or a seasoned professional looking to add Python to your skill set, this course offers a solid foundation and hands-on experience in Python programming.

What You’ll Learn:

  1. Python Fundamentals:
    • Understand the basics of Python, including its syntax, data types, and control structures.
    • Learn how to set up a Python environment and write your first lines of code.
    • Explore variables, operators, and expressions to perform calculations and manipulate data.
  2. Data Structures and Algorithms:
    • Master the use of lists, tuples, dictionaries, and sets for efficient data storage and manipulation.
    • Understand how to implement and utilize loops, conditionals, and functions to solve problems.
    • Explore sorting, searching, and other fundamental algorithms in Python.
  3. Object-Oriented Programming (OOP):
    • Learn the principles of OOP, including classes, objects, inheritance, and polymorphism.
    • Understand how to design and implement your own classes and methods.
    • Explore real-world examples of OOP to see how it can organize and simplify complex code.
  4. Working with Libraries and Modules:
    • Discover the power of Python’s standard library and external packages.
    • Learn how to import and use modules to extend Python’s functionality.
    • Get hands-on with popular libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualization.
  5. File Handling and Error Management:
    • Understand how to read from and write to files in various formats.
    • Learn how to handle errors and exceptions to make your code robust and reliable.
    • Explore best practices for debugging and testing your Python programs.
  6. Practical Applications and Projects:
    • Apply your skills to real-world projects, such as developing a basic web scraper, automating tasks, or creating a simple game.
    • Engage in hands-on exercises and projects that reinforce your learning and help you build a strong portfolio.

Why This Course?

  • Expert Instruction: Learn from experienced Python developers and educators who bring practical insights and real-world experience to the classroom.
  • Interactive Learning: Benefit from a blend of video lectures, interactive exercises, quizzes, and hands-on projects that cater to various learning styles.
  • Comprehensive Resources: Gain access to a wealth of resources, including code samples, cheat sheets, and a supportive online community.
  • Flexible Learning: Enjoy the flexibility of self-paced learning with lifetime access to all course materials, allowing you to learn at your own pace.

By the end of “Introduction to Python,” you’ll have a strong understanding of Python’s core concepts and the confidence to tackle more advanced topics. Whether you’re looking to start a career in software development, data science, web development, or automation, this course provides the perfect foundation. Join us and begin your journey into the exciting and ever-expanding world of Python programming!


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Step-by-Step Courses List

Chapter One:

Module 1: Getting Started with Python

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

Module 2: Working with Primitive Data Types

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

Module 3: Working with Multiple Assignments Statements

  1. Working with Multiple Assignments Statements
Chapter Four:

Module 4: Convert Types in Python

  1. Convert Types in Python
Chapter Five:

Module 5: Creating Lists

  1. Creating Lists
Chapter Six:

Module 6: Modifying Lists

  1. Modifying Lists
Chapter Seven:

Module 7: Sorting and Reversing Lists

  1. Sorting and Reversing Lists
Chapter Eight:

Module 8: Slicing Lists

  1. Slicing Lists
Chapter Nine:

Module 9: Working With Operators

  1. Working With Operators
  2. Working With Operators Part2
  3. Working With Operators Part3
Chapter Ten:

Module 10: Determining Operator Precedence

  1. Determining Operator Precedence
Chapter Eleven:

Module 11: Working with IF Statements

  1. Working with IF Statements
Chapter Twelve:

Module 12: Working With For Loops

  1. Working With For Loops
Chapter Thirteen:

Module 13: Working With While Loops

  1. Working With While Loops
Chapter Fourteen:

Module 14: Nesting for Loops

  1. Nesting for Loops
Chapter Fifteen:

Module 15: Reading Files

  1. Reading Files Part1
  2. Reading Files Part2
Chapter Sixteen:

Module 16: More on Files

  1. More on Files
Chapter Seventeen:

Module 17: Merging Emails

  1. Merging Emails
Chapter Eighteen:

Module 18: Reading Console Inputs and Formatting Outputs

  1. Reading Console Inputs and Formatting Outputs
Chapter Ninteen:

Module 19: Reading Command Line Argument

  1. Reading Command Line Argument
Chapter Twenty:

Module 20: Defining Functions

  1. Defining Functions
Chapter Twenty One:

Module 21: Using Default Argument

  1. Using Default Argument

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Frequently Asked Questions

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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.
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Description

Dive into the world of programming with “Introduction to Python,” a comprehensive course designed to equip you with the essential skills and knowledge needed to master one of the most popular and versatile programming languages today. Whether you’re a complete beginner, an aspiring data scientist, or a seasoned professional looking to add Python to your skill set, this course offers a solid foundation and hands-on experience in Python programming.

What You’ll Learn:

  1. Python Fundamentals:
    • Understand the basics of Python, including its syntax, data types, and control structures.
    • Learn how to set up a Python environment and write your first lines of code.
    • Explore variables, operators, and expressions to perform calculations and manipulate data.
  2. Data Structures and Algorithms:
    • Master the use of lists, tuples, dictionaries, and sets for efficient data storage and manipulation.
    • Understand how to implement and utilize loops, conditionals, and functions to solve problems.
    • Explore sorting, searching, and other fundamental algorithms in Python.
  3. Object-Oriented Programming (OOP):
    • Learn the principles of OOP, including classes, objects, inheritance, and polymorphism.
    • Understand how to design and implement your own classes and methods.
    • Explore real-world examples of OOP to see how it can organize and simplify complex code.
  4. Working with Libraries and Modules:
    • Discover the power of Python’s standard library and external packages.
    • Learn how to import and use modules to extend Python’s functionality.
    • Get hands-on with popular libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualization.
  5. File Handling and Error Management:
    • Understand how to read from and write to files in various formats.
    • Learn how to handle errors and exceptions to make your code robust and reliable.
    • Explore best practices for debugging and testing your Python programs.
  6. Practical Applications and Projects:
    • Apply your skills to real-world projects, such as developing a basic web scraper, automating tasks, or creating a simple game.
    • Engage in hands-on exercises and projects that reinforce your learning and help you build a strong portfolio.

Why This Course?

  • Expert Instruction: Learn from experienced Python developers and educators who bring practical insights and real-world experience to the classroom.
  • Interactive Learning: Benefit from a blend of video lectures, interactive exercises, quizzes, and hands-on projects that cater to various learning styles.
  • Comprehensive Resources: Gain access to a wealth of resources, including code samples, cheat sheets, and a supportive online community.
  • Flexible Learning: Enjoy the flexibility of self-paced learning with lifetime access to all course materials, allowing you to learn at your own pace.

By the end of “Introduction to Python,” you’ll have a strong understanding of Python’s core concepts and the confidence to tackle more advanced topics. Whether you’re looking to start a career in software development, data science, web development, or automation, this course provides the perfect foundation. Join us and begin your journey into the exciting and ever-expanding world of Python programming!


Talk to a Career Coach!


Train & Earn with Guaranteed Career Coaching Success!

7 reviews for Introduction to Python

  1. Rachel M –

    This course made Python so approachable! As someone with no coding background, I was surprised how quickly I picked things up. Highly recommended for beginners

  2. Daniel K –

    Clear explanations and great examples. The section on loops and functions helped me understand the core logic of programming. Very helpful course

  3. Fatima A –

    Good foundation, but I wish there were more coding challenges. It’s great for absolute beginners, but intermediate learners might want something more in-depth

  4. Jonas R –

    The course starts from the basics and builds up nicely. I loved the practical exercises and the instructor’s pace was just right. Great for self-learners

  5. Mei L –

    Excellent for someone trying to learn Python from scratch. The examples were simple but effective. It gave me the confidence to move on to more advanced topics

  6. Anthony G –

    As a total beginner, this course was perfect. I now understand variables, conditionals, and loops clearly. It’s an excellent stepping stone into programming

  7. Chloe S –

    Great introduction to Python with useful examples. I especially liked the real-life applications like working with strings and lists. Very beginner-friendly

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