Micro Learning | Python Basic course with Practice (30 days) - Printable Version +- Softwarez.Info - Software's World! (https://softwarez.info) +-- Forum: Library Zone (https://softwarez.info/Forum-Library-Zone) +--- Forum: Video Tutorials (https://softwarez.info/Forum-Video-Tutorials) +--- Thread: Micro Learning | Python Basic course with Practice (30 days) (/Thread-Micro-Learning-Python-Basic-course-with-Practice-30-days) |
Micro Learning | Python Basic course with Practice (30 days) - BaDshaH - 06-22-2024 Published 6/2024 Created by CloudMatrix Learning MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 310 Lectures ( 5h 24m ) | Size: 1.16 GB Python Simplified: A Month of Micro Lessons for Quick Mastery 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 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 JourneyCourse 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 topicsHands-on coding exercises and projects to apply your knowledgeReal-world examples and practical applicationsQuizzes and assessments to track your progressAccess to a supportive learning community and expert instructorsCourse Outline: Week 1: Python BasicsDay 1: Introduction to Python and setting up the development environmentDay 2: Python syntax, comments, and variablesDay 3: Data types (numbers, strings, booleans)Day 4: Basic input and output operationsDay 5: Operators and expressionsDay 6: Conditional statements (if-else)Day 7: Loops (for and while)Week 2: Data Structures and FunctionsDay 8: Lists and list manipulationDay 9: Tuples and their applicationsDay 10: Dictionaries and key-value pairsDay 11: Sets and set operationsDay 12: Functions and parameter passingDay 13: Scope and global/local variablesDay 14: Recursion and recursive functionsWeek 3: Object-Oriented Programming (OOP) and ModulesDay 15: Introduction to OOP conceptsDay 16: Classes and objectsDay 17: Inheritance and polymorphismDay 18: Encapsulation and data hidingDay 19: Modules and importing librariesDay 20: File handling (reading and writing files)Day 21: Exception handling and error managementWeek 4: Advanced Topics and ProjectsDay 22: Lambda functions and map/filter/reduceDay 23: List comprehensions and generator expressionsDay 24: Regular expressions and string manipulationDay 25: Introduction to web scraping with PythonDay 26: Working with APIs and JSON dataDay 27: Introduction to data analysis with Python (NumPy and Pandas)Day 28-30: Capstone projects and real-world applicationsBy 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. Homepage |