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the roadmap of python for developer beginner
- 1. n Name : Tariq Mehmood Class : 3rd Semester E-A Subject : Software Engineering Instructor : Mr Hafiz Gulfam Topic : Road Map to Python Welcome To all of you
- 2. Roadmap to Python Python, known for its ease in readability and versatility, is a powerful programming language for various applications. Uses : Web Development Data Science Machine Learning Scripting
- 3. Basics of Python 1 Variables and Data Types Learn how to declare variables and use various data types, including integers, floats, strings, lists, and dictionaries. 2 Control Flow Master conditional statements like if- else and loops like for and while, enabling you to create dynamic program logic. 3 Functions Create reusable blocks of code to perform specific tasks, making your code more organized and efficient. 4 Modules and Packages Import and utilize pre-built modules and packages to extend Python's capabilities for tasks like web development, data analysis, and machine learning. Mastering the fundamentals of Python is crucial. Dictionary Tuples Lists Mastering the fundamentals of Python is crucial. Basic syntax Data types Variables Operators Control flow statements
- 4. Object-Oriented Programming in Python Python supports OOP principles, allowing you to create reusable code, enhance maintainability, implement complex solutions. Classes Blueprints for creating objects, defining attributes and methods. Objects Instances of classes, representing real-world entities with specific data and behavior. Inheritance Allowing classes to inherit attributes and methods from parent classes, promoting code reuse.
- 5. Advance Python Decorators Modify function behavior without altering the original function code. Generators Functions that produce values on demand, optimizing memory usage. Exception Handling Gracefully manage errors, preventing program crashes and providing error recovery mechanisms. Regular Expressions Powerful tools for searching and manipulating text patterns in a flexible and efficient way.
- 6. Package Manager 1 pip The standard package manager for Python. Installing / Managing libraries Extend functionality 2 conda Another package manager, often used with the Anaconda distribution, which manages environments. 3 Virtual Environments Isolate project dependencies and avoid conflicts. Hold package folders 4 Requirements File A file that lists the packages and versions needed for your project.
- 7. Packages Package Description NumPy Numerical computing Pandas Data analysis and manipulation Matplotlib Data visualization Flask & Django Web development frameworks TensorFlow & PyTorch Machine learning frameworks
- 8. Animations Animations in Python involve creating a series of frames that change over time. You can use libraries to draw shapes, move objects, apply effects illusion of motion, bringing your creations to life. Matplotlib A library for creating static, animated, and interactive visualizations. Pygame A library for creating games, simulations, and interactive multimedia applications. Manim A library specifically designed for creating high-quality mathematical animations and explainer videos.
- 9. Testing Writing tests is crucial for ensuring the quality and reliability of your Python code. Testing helps you identify bugs early on, Catch Errors prevent regressions, ensure that your code behaves as expected. Python provides built-in testing frameworks, like Unit test, Third-party libraries like pytest, to write and run tests effectively. Unit Tests Test individual units of code, such as functions or classes, in isolation. Integration Tests Test how different parts of your code interact with each other. Functional Tests Test the overall functionality of your application from a user perspective. Regression Tests Ensure that changes you make don't break existing functionality.
- 10. Comparison with other programming languages It's versatile and widely used in various domains, in 1. Web development 2. Data science 3. Machine learning. However, other languages may offer more performance or specialized features for specific applications. Java Known for its platform independence and robust performance, Java is a popular choice for enterprise applications and Android development. C++ A powerful language for system programming and performance- critical applications, C++ is known for its low-level control and efficiency. JavaScript Essential for web development, JavaScript is used for interactive web pages, front-end development, and server-side programming through Node.js.