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    Python

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    • Refreshing Python Basics
      • 1.1Python Data Structures
      • 1.2Syntax and Semantics
      • 1.3Conditionals and Loops
    • Introduction to Object-Oriented Programming
      • 2.1Understanding Class and Objects
      • 2.2Design Patterns
      • 2.3Inheritance, Encapsulation, and Polymorphism
    • Python Libraries
      • 3.1Numpy and Matplotlib
      • 3.2Pandas and Seaborn
      • 3.3SciPy
    • Handling Files and Exception
      • 4.1Reading, writing and manipulating files
      • 4.2Introduction to Exceptions
      • 4.3Handling and raising Exceptions
    • Regular Expressions
      • 5.1Introduction to Regular Expressions
      • 5.2Python’s re module
      • 5.3Pattern Matching, Substitution, and Parsing
    • Databases and SQL
      • 6.1Introduction to Databases
      • 6.2Python and SQLite
      • 6.3Presentation of Data
    • Web Scraping with Python
      • 7.1Basics of HTML
      • 7.2Introduction to Beautiful Soup
      • 7.3Web Scraping Case Study
    • Python for Data Analysis
      • 8.1Data cleaning, Transformation, and Analysis using Pandas
      • 8.2Data visualization using Matplotlib and Seaborn
      • 8.3Real-world Data Analysis scenarios
    • Python for Machine Learning
      • 9.1Introduction to Machine Learning with Python
      • 9.2Scikit-learn basics
      • 9.3Supervised and Unsupervised Learning
    • Python for Deep Learning
      • 10.1Introduction to Neural Networks and TensorFlow
      • 10.2Deep Learning with Python
      • 10.3Real-world Deep Learning Applications
    • Advanced Python Concepts
      • 11.1Generators and Iterators
      • 11.2Decorators and Closures
      • 11.3Multithreading and Multiprocessing
    • Advanced Python Concepts
      • 12.1Generators and Iterators
      • 12.2Decorators and Closures
      • 12.3Multithreading and Multiprocessing
    • Python Project
      • 13.1Project Kick-off
      • 13.2Mentor Session
      • 13.3Project Presentation

    Python Project

    Kick-starting Your Python Project

    general-purpose programming language

    General-purpose programming language.

    The final phase of our Python Programming course is the Python Project. This is an opportunity for you to apply all the knowledge and skills you've acquired throughout the course. The project you choose should be something that interests you and challenges you to utilize a wide range of Python concepts.

    Understanding Project Requirements

    Before you start brainstorming ideas, it's crucial to understand the project requirements. Your project should:

    • Be written entirely in Python.
    • Incorporate various Python concepts and libraries learned throughout the course.
    • Be complex enough to demonstrate your understanding of Python, but feasible to complete within the given timeframe.

    Brainstorming and Selecting a Project Topic

    The first step in any project is to decide what you want to create. Here are a few questions to help you brainstorm:

    • What Python libraries are you interested in using?
    • Is there a particular problem you want to solve?
    • Are there any Python concepts you want to explore further?

    Remember, the best projects are those that you are passionate about. Choose a topic that excites you and aligns with your career goals.

    Planning and Outlining the Project

    Once you've chosen your project topic, the next step is to plan and outline your project. This includes:

    • Defining the project scope: What will your project do? What features will it have? It's important to be clear about what your project will and won't do.
    • Identifying the necessary Python concepts and libraries: List out what you'll need to build your project. This could include specific Python libraries, data structures, algorithms, etc.
    • Creating a project timeline: Break down your project into smaller tasks and estimate how long each task will take. This will help you manage your time effectively and ensure that you complete your project within the given timeframe.

    Remember, a well-planned project is half done. Spend enough time in this phase to ensure a smooth project development process. Good luck with your Python project!

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    Next up: Mentor Session