Start Python Programming: Fundamentals with Hands-on Project | Udemy [Update 08/2024]
English | Size: 15.96 GB
Genre: eLearning[/center]
Learn Python from Scratch with Projects: Master OOPs, DS, Pandas, NumPy, Django, Data Analysis and Visualization
What you'll learn
Learn Python from beginner to Intermediate through real-world examples and Projects.
You will learn fundamental concepts of Python such as Variables, Operators, Loops and more.
You will learn data processing libraries like NumPy, Pandas, and Matplotlib.
Build projects from scratch using OOPs, Framework, Module & Packages like Customer service chatbot, personal Finance Tracker, Library Management system UI.
Create a portfolio of real-world hands on Python projects to showcase proficiency and apply for developer positions.
Create a database and models using the Django framework.
Extract structured data from websites including HTML parsing.
Automate industry-specific repetitive file management tasks efficiently using python.
Understand advanced topics such as Decorators, Error Handling, Data Structure, Polymorphism, Inheritance, and more.
Build a Master Project of Dashboard for Data analysis and Data visualization.
Create or develop your portfolio for one of the highest-demanding technologies, i.e., Python, from today in 2024.
Welcome to this comprehensive Python course that covers essential programming concepts and practical application. Whether you want to learn how to tackle real-life challenges with Python, already know the basic syntax, or new in programming, this course is for you! You will get over 100+ Video lectures along with practical implementation, Quizzes, resources like GitHub repository, cheat sheet and data sets. You don't need to spend more than 10 hours, to have a solid foundation in Python Programming!
You will get expertise in building practical projects like chatbots, inventory management systems, Dashboard, order processing systems, Web scrapping, Finance Tracker and more.
With this clear, precise and straight-forward course, you will have strong grip over the following topic which will make you a confident Python developer
Python Basics
Python installation (MacOS, Windows)
Latest Version of Python -Python 3
Python environment setup (Google Colab, Visual Studio Code, Python IDLE)
Basic syntax
Variables and data types (int, float, str, bool)
Operators (arithmetic, comparison, logical)
Input and output
Control flow (if, else, Elif, nested if, for, while, break, continue)
Functions (types, definition, calling, parameters, return values)
Data Structures
Lists (creation, indexing, slicing, methods)
Tuples (creation, methods, indexing, immutability)
Dictionaries (creation, access, method)
Sets (creation, operations, methods)
Object-Oriented Programming (OOP)
Classes and objects
Attributes and methods
Constructors
Inheritance (single, multiple, multi-level, hierarchical)
Polymorphism
Python Applications
Data analysis and visualization (Pandas, Matplotlib)
Web development (Django)
Virtual Environment
Automation
Web scraping (Beautiful Soup, Request)
Additional Topics
Modules and packages
Error and exception handling
File handling
Decorators
Lambda functions
Debugging
Testing
Troubleshooting Common Python Problems
Database connectivity using SQLite
Python libraries (NumPy, Pandas, Matplotlib, Plotly, Streamlit)
By the end of this course, you will have a strong foundation in Python, you will be able to work confidently in industries project, preparing you to excel in fields like data science, machine learning, web development, automation and empowers you to pursue roles such as Python Developer, AI engineer, data scientist, machine learning engineer, data engineer, back-end developer, full-stack developer, DevOps engineer, or software engineer.
Let's celebrate the first step towards your Python success together!
Who this course is for:
This course is designed for both IT and non-IT professionals who want to learn Python programming.
If you want to start your coding journey.
Beginners and intermediates: If you've never coded before, you can learn Python step by step.
Learners and professionals looking to switch their career to Python.
Beginner Python Developer curious about Data Science, AI/ML, Web development, Data visualization and for more.
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