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Micro Learning | Python Basic course with Practice (30 days)
Rating: 3.9 out of 5(4 ratings)
17 students

Micro Learning | Python Basic course with Practice (30 days)

Python Simplified: A Month of Micro Lessons for Quick Mastery
Last updated 6/2024
English

What you'll learn

  • Understand the basic syntax and structure of Python code
  • Use variables, data types, and operators in Python
  • Control program flow using conditional statements (if-else) and loops (for, while)
  • Define and use functions to modularize code
  • Work with data structures such as lists, tuples, and dictionaries
  • Read from and write to files using Python
  • Handle exceptions and errors in Python programs
  • Use modules and libraries to extend Python's functionality
  • Apply object-oriented programming (OOP) concepts in Python
  • Develop problem-solving skills through practical coding exercises and projects

Coding Exercises

This course includes our updated coding exercises so you can practice your skills as you learn.

See a demo
Image of coding exercise example

Course content

37 sections309 lectures5h 23m total length
  • Introduction2:24

Requirements

  • A computer (Windows, Mac, or Linux) with internet access.
  • Python 3.x installed on your computer. (I will provide instructions on how to install Python if needed.)
  • A text editor or an Integrated Development Environment (IDE) for writing Python code. (I recommend using Python IDLE, which comes with the Python installation, or a popular IDE like PyCharm or Visual Studio Code.)
  • Dedication to spend at least 30-60 minutes daily for the next 30 days to learn and practice Python programming.
  • Basic computer literacy: You should be comfortable using a computer, navigating through files and folders, and using a text editor or IDE.
  • Basic understanding of programming concepts: Familiarity with basic programming concepts such as variables, data types, loops, and conditionals will be helpful, but not mandatory. The course will cover these concepts from the ground up.
  • Willingness to learn: A positive attitude and a willingness to learn and practice regularly are essential for making the most out of this course.

Description

Python Programming Fundamentals - A 30-Day Micro Learning Journey

Course Description: Embark on an exciting 30-day micro learning journey to master the fundamentals of Python programming! This comprehensive course is designed for beginners who want to learn Python in a structured and bite-sized manner. Throughout the course, you'll gain hands-on experience with Python syntax, data types, control structures, functions, and more.

Our micro learning approach ensures that you can easily fit learning into your busy schedule. Each day, you'll dedicate just 15-30 minutes to learn a new concept, complete a short coding exercise, and reinforce your understanding through practical examples.

Course Highlights:

  • 30 bite-sized lessons covering essential Python topics

  • Hands-on coding exercises and projects to apply your knowledge

  • Real-world examples and practical applications

  • Quizzes and assessments to track your progress

  • Access to a supportive learning community and expert instructors

Course Outline: Week 1: Python Basics

  • Day 1: Introduction to Python and setting up the development environment

  • Day 2: Python syntax, comments, and variables

  • Day 3: Data types (numbers, strings, booleans)

  • Day 4: Basic input and output operations

  • Day 5: Operators and expressions

  • Day 6: Conditional statements (if-else)

  • Day 7: Loops (for and while)

Week 2: Data Structures and Functions

  • Day 8: Lists and list manipulation

  • Day 9: Tuples and their applications

  • Day 10: Dictionaries and key-value pairs

  • Day 11: Sets and set operations

  • Day 12: Functions and parameter passing

  • Day 13: Scope and global/local variables

  • Day 14: Recursion and recursive functions

Week 3: Object-Oriented Programming (OOP) and Modules

  • Day 15: Introduction to OOP concepts

  • Day 16: Classes and objects

  • Day 17: Inheritance and polymorphism

  • Day 18: Encapsulation and data hiding

  • Day 19: Modules and importing libraries

  • Day 20: File handling (reading and writing files)

  • Day 21: Exception handling and error management

Week 4: Advanced Topics and Projects

  • Day 22: Lambda functions and map/filter/reduce

  • Day 23: List comprehensions and generator expressions

  • Day 24: Regular expressions and string manipulation

  • Day 25: Introduction to web scraping with Python

  • Day 26: Working with APIs and JSON data

  • Day 27: Introduction to data analysis with Python (NumPy and Pandas)

  • Day 28-30: Capstone projects and real-world applications


By the end of this course, you'll have a solid foundation in Python programming and be equipped with the skills to tackle real-world projects. You'll also have a portfolio of coding exercises and projects to showcase your newfound knowledge.


Whether you're a complete beginner or looking to refresh your Python skills, this micro learning course provides a structured and engaging learning experience. Join us on this 30-day journey and unlock the power of Python programming!


Enroll now and start your Python programming journey today!

Who this course is for:

  • Beginners: Individuals with little to no prior programming experience who want to learn Python from scratch.
  • Career Switchers: Professionals looking to switch careers or add programming skills to their existing skill set.
  • Students: High school, college, or university students who want to learn Python as part of their curriculum or for personal projects.
  • Hobbyists: People who want to learn Python as a hobby or for personal interest in programming and technology.
  • Data Enthusiasts: Individuals interested in exploring data analysis, manipulation, and visualization using Python.
  • Aspiring Developers: Those who want to start their journey in software development or web development using Python.
  • Business Professionals: Non-technical professionals who want to understand and apply basic programming concepts to their work or collaborate better with technical teams.