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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.

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.

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).

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.

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.

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