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Introduction to Python

25 Videos
8.49 Hours
25 Test Questions

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Certificate

Dedicated Tutors

Introduction to Python

Course Highlights

Closed Caption

Certificate

Dedicated Tutors

8.49 Hours
25 Videos

Introduction to Python

Course Description

8.49 Hours

25 Videos

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!

Course Syllabus

Module 1: Getting Started with Python

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

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

Module 3: Working with Multiple Assignments Statements

  1. Working with Multiple Assignments Statements

Module 4: Convert Types in Python

  1. Convert Types in Python

Module 5: Creating Lists

  1. Creating Lists

Module 6: Modifying Lists

  1. Modifying Lists

Module 7: Sorting and Reversing Lists

  1. Sorting and Reversing Lists

Module 8: Slicing Lists

  1. Slicing Lists

Module 9: Working With Operators

  1. Working With Operators
  2. Working With Operators Part2
  3. Working With Operators Part3

Module 10: Determining Operator Precedence

  1. Determining Operator Precedence

Module 11: Working with IF Statements

  1. Working with IF Statements

Module 12: Working With For Loops

  1. Working With For Loops

Module 13: Working With While Loops

  1. Working With While Loops

Module 14: Nesting for Loops

  1. Nesting for Loops

Module 15: Reading Files

  1. Reading Files Part1
  2. Reading Files Part2

Module 16: More on Files

  1. More on Files

Module 17: Merging Emails

  1. Merging Emails

Module 18: Reading Console Inputs and Formatting Outputs

  1. Reading Console Inputs and Formatting Outputs

Module 19: Reading Command Line Argument

  1. Reading Command Line Argument

Module 20: Defining Functions

  1. Defining Functions

Module 21: Using Default Argument

  1. Using Default Argument

Course Highlights

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Introduction-to-Python

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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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Unlock the power of interactive web development with “JavaScript Essentials.” This course is perfect for beginners and those looking to enhance their web development skills. Dive into JavaScript’s core concepts, from basic syntax and data structures to advanced topics like DOM manipulation, asynchronous programming, and AJAX. What You’ll Learn: JavaScript Basics: Syntax, data types, variables, […]
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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

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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