Micro Learning | Intermediate Python: Enhancing Your Skills
Micro Learning | Intermediate Python: Enhancing Your Skills, available at $54.99, with 61 lectures, 23 quizzes.
You will learn about Utilize intermediate Python features and techniques. Work with more complex data structures. Understand and implement object-oriented programming. Handle exceptions and perform file operations. Write and use modules and packages. This course is ideal for individuals who are Developers with basic Python knowledge. or Students and professionals looking to deepen their Python skills. or Individuals preparing for more advanced Python topics. It is particularly useful for Developers with basic Python knowledge. or Students and professionals looking to deepen their Python skills. or Individuals preparing for more advanced Python topics.
Enroll now: Micro Learning | Intermediate Python: Enhancing Your Skills
Summary
Title: Micro Learning | Intermediate Python: Enhancing Your Skills
Price: $54.99
Number of Lectures: 61
Number of Quizzes: 23
Number of Published Lectures: 60
Number of Published Quizzes: 23
Number of Curriculum Items: 84
Number of Published Curriculum Objects: 83
Original Price: $19.99
Quality Status: approved
Status: Live
What You Will Learn
- Utilize intermediate Python features and techniques.
- Work with more complex data structures.
- Understand and implement object-oriented programming.
- Handle exceptions and perform file operations.
- Write and use modules and packages.
Who Should Attend
- Developers with basic Python knowledge.
- Students and professionals looking to deepen their Python skills.
- Individuals preparing for more advanced Python topics.
Target Audiences
- Developers with basic Python knowledge.
- Students and professionals looking to deepen their Python skills.
- Individuals preparing for more advanced Python topics.
This micro learning course is designed for Python developers who have a basic understanding of the language and want to enhance their skills. Through focused lessons and practical exercises, participants will learn intermediate Python concepts and techniques.
Course Objectives
By the end of this course, participants will be able to:
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Utilize intermediate Python features and techniques.
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Work with more complex data structures.
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Understand and implement object-oriented programming.
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Handle exceptions and perform file operations.
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Write and use modules and packages.
Target Audience
This course is ideal for:
-
Developers with basic Python knowledge.
-
Students and professionals looking to deepen their Python skills.
-
Individuals preparing for more advanced Python topics.
Prerequisites
Participants should have:
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Basic knowledge of Python programming.
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Familiarity with basic programming concepts.
Course Modules
Module 1: Advanced Data Structures
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Lesson 1: List Comprehensions and Generators
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Creating lists using list comprehensions.
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Understanding and using generators.
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Lesson 2: Advanced Dictionary and Set Operations
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Exploring advanced operations on dictionaries and sets.
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Practical examples and use cases.
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Module 2: Object-Oriented Programming
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Lesson 1: Classes and Objects
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Understanding classes and objects.
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Creating and using classes.
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Lesson 2: Inheritance and Polymorphism
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Implementing inheritance in Python.
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Understanding polymorphism and its applications.
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Module 3: Error Handling and File Operations
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Lesson 1: Exception Handling
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Using try, except, finally blocks.
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Creating custom exceptions.
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Lesson 2: File Operations
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Reading from and writing to files.
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Handling different file types and modes.
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Module 4: Modules and Packages
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Lesson 1: Writing and Using Modules
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Creating and importing modules.
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Understanding module namespaces.
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Lesson 2: Packages
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Organizing code with packages.
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Using third-party packages.
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Module 5: Working with External Libraries
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Lesson 1: Introduction to Popular Libraries
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Overview of libraries like NumPy, Pandas, and Requests.
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Installing and using these libraries.
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Lesson 2: Practical Applications
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Applying libraries to solve real-world problems.
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Examples and hands-on exercises.
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Course Delivery
The course will be delivered through a combination of:
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Video lectures: Focused lessons with practical examples.
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Hands-on coding exercises: Intermediate tasks to reinforce learning.
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Quizzes: Assessments to test understanding.
Upon successful completion of the course, participants will receive a certificate of completion, demonstrating their proficiency in intermediate Python programming.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Chapter 2: Module 1: Advanced Data Structures
Lecture 1: Module 1 : Overview
Lecture 2: Basic List Comprehensions
Lecture 3: List Comprehensions with Conditions
Lecture 4: Nested List Comprehensions
Lecture 5: Generators
Lecture 6: Creating Generators with yield
Lecture 7: Generator Expressions
Lecture 8: Comparing List Comprehensions and Generators
Chapter 3: Module 2 : Advanced Dictionary and Set Operations
Lecture 1: Module 2 : Overview
Lecture 2: Dictionary Comprehensions
Lecture 3: Merging Dictionaries
Lecture 4: Complex Dictionary Manipulations
Lecture 5: Set Comprehensions
Lecture 6: Mathematical Set Operations : Union
Lecture 7: Mathematical Set Operations : Intersection
Lecture 8: Mathematical Set Operations : Difference
Lecture 9: Mathematical Set Operations : Symmetric Difference
Lecture 10: Practical Use Cases : Removing Duplicates from a List
Chapter 4: Module 3 : Object-Oriented Programming
Lecture 1: Module 3 : Overview
Lecture 2: Introduction : Object-Oriented Programming
Lecture 3: The __init__ method
Lecture 4: Attributes
Lecture 5: Methods
Lecture 6: Introduction : Object-Oriented Programming PART II.
Lecture 7: Inheritance
Lecture 8: Overring Methods
Lecture 9: Polymorphism
Chapter 5: Module 4: Error Handling and File Operations
Lecture 1: Exception Handling
Lecture 2: Using try and except
Lecture 3: Using else and finally
Lecture 4: Creating Custom Exceptions
Lecture 5: File Operations
Lecture 6: Opening and Closing Files
Lecture 7: Reading from Files
Lecture 8: Writing to Files
Lecture 9: Using Context Managers
Lecture 10: Handling Different File Types : Reading CSV Files
Lecture 11: Handling Different File Types : Writing CSV Files
Lecture 12: Exercise : Handle ValueError
Lecture 13: Exercise : Create Custom Exception
Lecture 14: Exercise : Reciprocal Function
Lecture 15: Exercise : Read File Content
Lecture 16: Exercise : Write Numbers to File
Lecture 17: Exercise : Read and Write CSV Files
Chapter 6: Module 5: Modules and Packages
Lecture 1: Introduction to Modules
Lecture 2: Creating and Importing Modules
Lecture 3: Importing Specific Items from a Module
Lecture 4: Understanding Module Namespaces
Lecture 5: Packages
Lecture 6: Introduction to Packages
Lecture 7: Creating and Using Packages
Lecture 8: Importing from Packages
Lecture 9: Using Third-Party Packages
Chapter 7: Module 6: Working with External Libraries
Lecture 1: Introduction to Popular Libraries
Lecture 2: Installing External Libraries
Lecture 3: Introduction to Numpy
Lecture 4: Introduction to Pandas
Lecture 5: Introduction to Requests
Chapter 8: Summary
Lecture 1: Next Step : Course
Instructors
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CloudMatrix Learning
Personalized Learning with AI-Driven Education Technology
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Frequently Asked Questions
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Can I take my courses with me wherever I go?
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