Python Programming Basics

Python Fundamentals
4.29 (12 reviews)
Udemy
platform
English
language
Programming Languages
category
instructor
Python Programming Basics
2 484
students
2 hours
content
Jul 2023
last update
$139.99
regular price

Why take this course?

🎓 Course Title: Python Programming Basics

Unlock Your Coding Potential with Python Fundamentals!

Are you ready to embark on a journey into the world of programming? Whether you're a complete novice or someone looking to expand your skill set, this Python Programming Basics course is tailored to get you started on a path to coding proficiency. 🚀

Course Description:

Why Python? 🐍

  • Ease of Learning: Python's syntax is clear and readable, which makes it ideal for beginners.
  • Versatility: Use Python for web development, data analysis, artificial intelligence, scientific computing, and much more!
  • Community Support: With a massive community and extensive resources, you'll never be far from help when you learn Python.
  • Cross-Platform: Run Python code on Windows, macOS, or Linux without worrying about compatibility issues.
  • Powerful Libraries: Access to a rich set of libraries that can handle complex tasks with ease.

What You'll Learn:

  • Data Structures: Master lists, dictionaries, sets, and more to manage and manipulate data effectively.
  • Variables: Learn how to define and use variables in Python, understanding different data types along the way.
  • Operator Precedence: Understand the order of operations in Python to execute your code as intended.
  • Program Flow: Get a solid grasp on how Python programs are executed and control the flow of execution with conditional statements.
  • Making Decisions: Utilize if, elif, and else to make intelligent decisions within your code based on data or events.
  • Handling Errors: Learn how to manage exceptions and errors, ensuring your programs can handle unexpected situations gracefully.
  • Program Logic: Develop strong problem-solving skills to tackle complex problems with clear and logical solutions.

Course Features:

  • Python 3 Focus: All lectures and coding exercises use Python 3.
  • Jupyter Notebook IDE: Engage with an interactive environment to write, run, and test your code immediately.
  • Hands-On Practice: Access downloadable Jupyter notebook files in the first and last sections, allowing you to practice at your own pace.
  • Real-World Application: Apply what you learn through practical examples and exercises that mimic real-world scenarios.
  • Supportive Learning: Get explanations for codes in some sections besides videos, enhancing your understanding of the concepts taught.
  • Community Access: Join a community of fellow learners to discuss topics, solve problems, and share insights.

Course Structure:

  1. Getting Started with Python: Installation, setting up your environment, and an introduction to Python syntax.
  2. Understanding Variables and Data Types: Learn how to store, manipulate, and understand different kinds of data in Python.
  3. Control Flow with Loops and Functions: Master the use of for and while loops as well as defining and using functions.
  4. Working with Data Structures: Dive into lists, dictionaries, sets, and tuples to handle complex data effectively.
  5. Making Decisions: Conditions and Comparisons: Learn how to use conditional statements to steer your program's behavior based on conditions.
  6. Operators and Expressions: Understand the different types of operators and their precedence in Python expressions.
  7. Exception Handling: Write robust code by handling exceptions and errors gracefully.
  8. File I/O: Read from and write to files, managing data both within memory and on disk.
  9. Working with Dates and Times: Handle dates and times with the datetime module.
  10. Introduction to Libraries and Frameworks: Explore Python's standard library and learn about popular frameworks like Flask and Django.
  11. Data Analysis Basics: Get an introduction to data analysis using libraries like pandas and numpy.
  12. Object-Oriented Programming: Understand classes, objects, inheritance, and other OOP concepts in Python.
  13. Advanced Python Topics: Delve deeper into topics such as decorators, generators, and context managers.
  14. Project Work: Apply your skills to a capstone project that ties together everything you've learned.
  15. Course Recap and Best Practices: Review key concepts and learn best practices for efficient and readable Python code.
  16. Additional Resources and Further Learning: Access additional materials to continue your learning journey beyond the course.

Get Started Today! 💻 Embark on your coding adventure with Python Programming Basics. Whether you're at home, in a café, or on the go, learn at your own pace and on your own schedule. With interactive exercises, supportive resources, and expert guidance, you'll be coding like a pro in no time! 🎞️✨

Note: New modules are regularly added to keep the content up-to-date and comprehensive. Keep an eye out for updates and new learning opportunities!

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Related Topics

4961002
udemy ID
04/11/2022
course created date
06/11/2022
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