Advanced Algorithms Mastery:
Goal: Understand and implement complex algorithms efficiently.
Objectives:
Study and implement sorting algorithms such as quicksort, mergesort, and radix sort.
Learn data structures like graphs, trees, and hash tables and their associated algorithms.
Solve algorithmic problems from platforms like LeetCode and HackerRank regularly.
Browser Automation Proficiency:
Goal: Automate web tasks using browser automation tools.
Objectives:
Familiarize yourself with tools like Selenium WebDriver for automated testing and web scraping.
Practice writing scripts to interact with web elements, fill forms, and navigate web pages.
Develop scripts for common browser automation tasks like testing web applications and gathering data from websites.
Python's Object-Oriented Programming (OOP):
Goal: Master object-oriented programming concepts and their application in Python.
Objectives:
Understand the principles of OOP, including encapsulation, inheritance, and polymorphism.
Practice designing and implementing classes and objects in Python.
Apply OOP principles to solve real-world problems, building modular and reusable code.
pytest Proficiency:
Goal: Become proficient in writing and running tests using pytest.
Objectives:
Learn the basics of unit testing and test-driven development (TDD).
Master pytest framework features such as fixtures, parametrization, and assertions.
Practice writing comprehensive test suites for Python projects, covering various scenarios and edge cases.
GitHub/Git Version Control Mastery:
Goal: Become adept at version control using Git and GitHub.
Objectives:
Understand the fundamentals of version control, including branching, merging, and resolving conflicts.
Learn Git commands for day-to-day version control tasks, such as committing changes, pushing to remote repositories, and managing branches.
Explore GitHub's collaboration features, including pull requests, code reviews, and issue tracking, to participate effectively in team projects.

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