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Python Full Course for Beginners

Learners: 7

Instructor: Bro Code

Duration: 12.00

This course provides a comprehensive introduction to Python programming for beginners. It covers topics such as variables, string methods, type casting, user input, math functions, string slicing, if statements, logical operators, while loops, for loops, and more. It is designed to help learners gain a solid foundation in the language. ▼▲

Course Feature Course Overview Course Provider Discussion and Reviews

Go to class

Course Feature

Cost:

Free

Provider:

Youtube

Certificate:

Paid Certification

Language:

English

Start Date:

On-Demand

Course Overview

❗The content presented here is sourced directly from Youtube platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [February 21st, 2023]

Starting from the basics, the course covers essential concepts such as variables, string manipulation, user input, control flow statements, data structures (lists, tuples, sets, dictionaries), functions, file handling, modules, and object-oriented programming (OOP). Additionally, learners will explore advanced topics like lambda functions, GUI programming, event handling, animations, game development, and more. By the end of the course, learners will have a solid foundation in Python programming, enabling them to build various applications and continue their learning journey in the field of software development.

Possible Development Paths:
Upon completing the Python Full Course for Beginners, learners can pursue various development paths in their career or education. Some potential paths include:
Software Development: Armed with a solid understanding of Python, learners can delve deeper into software development, exploring frameworks like Django and Flask for web development or Pygame for game development. They can work on creating their own applications, web services, or even contribute to open-source projects.
Data Science: Python is widely used in the field of data science and analytics. Learners can further their knowledge in libraries like NumPy, Pandas, and Matplotlib, gaining proficiency in data manipulation, analysis, visualization, and machine learning.
Automation and Scripting: Python's simplicity and versatility make it an ideal choice for automation and scripting tasks. Learners can explore areas like network automation, web scraping, or system administration to enhance productivity and streamline processes.

Learning Suggestions:
To make the most out of the Python Full Course for Beginners and deepen your understanding of Python programming, here are some learning suggestions:
Practice Regularly: Coding is a skill that improves with practice. Dedicate time to coding exercises and projects to reinforce your understanding of the concepts covered in the course.
Explore Additional Resources: Supplement your learning with online tutorials, documentation, and interactive coding platforms. Websites like Codecademy, Real Python, and Python.org offer valuable resources for beginners.
Engage in Projects: Apply your newfound skills by working on personal projects or participating in coding challenges. Building practical applications will help you solidify your knowledge and develop problem-solving abilities.