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Python Study Roadmap by Mind Map: Python Study Roadmap

1. Basics of Python

1.1. Installation and setup

1.1.1. Installing Python

1.1.2. Installing IDE (PyCharm, VS Code, etc.)

1.2. Syntax and basics

1.2.1. Variables and data types

1.2.2. Operators (arithmetic, logical, etc.)

1.2.3. Strings and string operations

1.2.4. Lists, tuples, sets, dictionaries

1.2.5. Control structures (if, for, while)

1.3. Functions and modules

1.3.1. Defining and calling functions

1.3.2. Arguments and parameters

1.3.3. Variable scope

1.3.4. Importing modules

2. Advanced concepts

2.1. File handling

2.1.1. Reading and writing files

2.1.2. Working with CSV and JSON

2.1.3. File and directory management

2.2. Exceptions and error handling

2.2.1. Handling exceptions (try, except)

2.2.2. Creating custom exceptions

2.2.3. Logging

2.3. Working with external libraries

2.3.1. pip and package management

2.3.2. Introduction to popular libraries (NumPy, Pandas, etc.)

2.3.3. Working with documentation

3. OOP in Python

3.1. Classes and objects

3.1.1. Creating classes

3.1.2. Attributes and methods

3.1.3. Encapsulation, inheritance, polymorphism

3.1.4. Magic methods and operator overloading

3.2. Examples and exercises

4. Web development

4.1. Introduction to Flask and Django

4.2. Creating a simple web application

4.3. Working with databases (SQLAlchemy, Django ORM)

4.4. Deployment on a server

5. Data analysis and machine learning

5.1. Introduction to NumPy and Pandas

5.2. Data visualization (Matplotlib, Seaborn)

5.3. Basics of machine learning (scikit-learn)

5.4. Practical projects

6. Additional topics

6.1. Web scraping (BeautifulSoup, Scrapy)

6.2. Task automation (Selenium, PyAutoGUI)

6.3. Testing (unittest, pytest)

6.4. Projects and portfolio