Python start: roadmap

 

Phase 1: Python Basics (1-2 Weeks)

1. Setup and Environment

   • Install Python and an IDE (e.g., PyCharm, VS Code).
   • Learn how to run Python scripts.

2. Basic Syntax

   • Variables and Data Types (integers, floats, strings, booleans).
   • Basic Operators (arithmetic, comparison, logical).
   • Input/Output (using input() and print()).

3. Control Flow

   • Conditional Statements (if, elif, else).
   • Loops (for, while, break, continue).

4. Functions

   • Defining and calling functions.
   • Arguments, return values, and scope (local/global variables).

5. Data Structures

   • Lists, Tuples, Sets, and Dictionaries.
   • List comprehensions.

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Phase 2: Intermediate Python (3-4 Weeks)

1. File Handling

   • Reading from and writing to files (open(), read(), write(), with statement).

2. Error Handling

   • Try-except blocks for error handling.
   • Understanding and raising exceptions.

3. Modules and Packages

   • Importing and using built-in modules (e.g., math, datetime, os).
   • Installing and using external libraries with pip.

4. Object-Oriented Programming (OOP)

   • Classes and Objects.
   • Constructors (__init__), methods, and attributes.
   • Inheritance and Polymorphism.
   • Encapsulation and Abstraction.

5. Advanced Data Structures

   • Stacks, Queues, Linked Lists (using built-in data structures).
   • Sets and advanced operations on dictionaries.

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Phase 3: Advanced Python (4-6 Weeks)

1. Decorators and Generators

   • Function decorators for reusable code.
   • Understanding and using generators (yield).

2. Advanced OOP Concepts

   • Method Overriding, Class vs Static Methods.
   • Multiple Inheritance and MRO (Method Resolution Order).

3. Concurrency and Multithreading

   • Working with threads and the threading module.
   • Async programming with asyncio.

4. Regular Expressions

   • Using the re module for pattern matching.

5. File Formats

   • Working with JSON, CSV, XML files (json, csv, xml.etree).

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Phase 4: Expert Python Skills (6-8 Weeks)

1. Web Scraping

   • Using requests and BeautifulSoup to scrape web pages.
   • Handling API requests.

2. Database Connectivity

   • Connecting to SQL databases using sqlite3 and MySQL.
   • Performing CRUD operations.

3. Unit Testing

   • Writing test cases with unittest or pytest.
   • Test-driven development (TDD).

4. Working with APIs

   • Consuming REST APIs with requests.
   • Creating your own API using Flask or FastAPI.

5. Web Development

   • Building basic web apps with Flask or Django.

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Phase 5: Advanced Libraries and Frameworks (Optional)

1. Data Science & Machine Learning

   • NumPy, Pandas for data manipulation.
   • Matplotlib, Seaborn for data visualization.
   • Scikit-learn for machine learning algorithms.

2. Automation

   • Automating tasks using Selenium, PyAutoGUI.

3. GUI Development

   • Building desktop applications using Tkinter or PyQt.