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Python zero to hero

I ran a few miles so you can fly. Welcome to our Python course! This comprehensive course is designed to take you from a beginner level to an advanced level in Python programming. Whether you're completely new to programming or looking to expand your skills, this course has something for everyone.
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Table of Contents ## How to Interact with the Course

To work with this course, follow these steps:

  1. Install Git on Your PC

    • Download Git from https://git-scm.com/ and follow the installation instructions for your operating system.
  2. Clone the Repository

    • Open your terminal or command prompt and run the following command: navigate to desired directory then:
      git clone https://github.com/daevooh/Python-course.git
  3. Pull Recent Updates

    • Keep your repository up-to-date by running:
      git pull origin main                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                              
  4. Submit Assignments

    • Push your completed assignments to the repository using:
      git push origin main

Beginner Level

  1. Introduction to Python

    • Overview of Python
    • Setting up Python environment
  2. Basic Syntax and Data Types

    • Variables and data types
    • Basic operators
    • Strings and string manipulation
    • Lists, tuples, and dictionaries
  3. Control Flow and Loops

    • Conditional statements (if, elif, else)
    • Loops (for, while)
    • Control flow exercises
  4. Functions and Modules

    • Defining functions
    • Function arguments and return values
    • Working with modules and packages
  5. File Handling

    • Reading from and writing to files
    • Handling exceptions and errors

Beginner Projects

  • Simple Calculator
  • To-Do List Application
  • Basic Web Scraper

Intermediate Level

  1. Object-Oriented Programming

    • Classes and objects
    • Inheritance and polymorphism
    • Encapsulation and abstraction
  2. Error Handling and Exceptions

    • Try-except blocks
    • Raising exceptions
    • Handling specific exceptions
  3. Working with Libraries and Packages

    • Installing and importing packages
    • Using external libraries in projects
  4. Web Development with Flask/Django

    • Introduction to web frameworks
    • Building web applications with Flask or Django
    • Handling HTTP requests and responses
  5. Data Analysis with Pandas and NumPy

    • Introduction to data analysis
    • Data manipulation with Pandas
    • Numerical computing with NumPy

Intermediate Projects

  • Weather Forecast App
  • E-commerce Website
  • Data Visualization Dashboard

Advanced Level

  1. Machine Learning and AI Concepts

    • Introduction to machine learning
    • Supervised vs. unsupervised learning
    • Model evaluation and validation
  2. Deep Learning with TensorFlow/Keras

    • Introduction to neural networks
    • Building deep learning models with TensorFlow/Keras
    • Training and evaluating models
  3. Building APIs with Django Rest Framework

    • Introduction to RESTful APIs
    • Creating APIs with Django Rest Framework
    • Consuming APIs in applications
  4. Creating GUI Applications

    • Introduction to GUI programming
    • Building desktop applications with Tkinter or PyQt
  5. Deploying Python Applications to the Cloud

    • Overview of cloud platforms
    • Deploying Python applications to platforms like Heroku or AWS

Advanced Projects

  • Sentiment Analysis Tool
  • Image Recognition System
  • Real-time Chatbot

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Getting Started

Cloning the Python Course Repository

Follow these steps to clone the Python course repository to your local system:

  1. Install Git

    If you haven't already installed Git on your system, you can download it from https://git-scm.com/ and follow the installation instructions for your operating system.

  2. Clone the Repository

    Open your terminal or command prompt and navigate to the directory where you want to clone the repository. Then, run the following command:

    git clone <https://github.com/daevooh/Python-course.git>
  3. Navigate the repo cd baby_steps

  4. Keep the Repository Updated

    git fetch origin
    git pull origin main
    
    

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Roadmap

  • Begginer
  • Intermediate
  • Advanced
  • portfolio

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Contact

email-ogbekingdavid@gmail.com

Project Link: https://github.com/daevooh/Python-course

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Acknowledgments

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