Welcome to the Python Course, your entry point into the versatile and dynamic world of programming. Python, renowned for its simplicity, readability, and vast applications, is not just a programming language but a powerful tool for problem-solving and automation.
This course is your gateway to mastering Python, whether you’re an absolute beginner or a seasoned coder looking to add Python to your skillset. Python’s broad utility spans web development, data analysis, scientific computing, artificial intelligence, and more, making it an essential language to learn.
Our journey begins with the basics, from setting up your Python environment to understanding fundamental concepts like variables, data types, and control structures. You’ll learn to write clean, efficient code and gain hands-on experience in solving real-world problems.
As we progress, we’ll delve into more advanced topics, including object-oriented programming, working with external data sources, and even building web applications. By the end of this course, you’ll have a solid grasp of Python and the confidence to tackle a wide range of projects and challenges.
Python’s versatility extends to careers in web development, data science, machine learning, and more. So, whether you aspire to be a developer, data analyst, or just want to automate everyday tasks, this course equips you with the skills to succeed in the rapidly evolving world of technology.
Join us on this exciting journey into the realm of Python, where you’ll unlock the power to create, innovate, and transform your ideas into reality. Let’s embark on this coding adventure together!
Week 1: Introduction to Python Programming
- Day 1: Course overview and Python’s history
- Day 2: Setting up Python environment (IDEs, Jupyter Notebook)
- Day 3: Python syntax and basic data types
- Day 4: Control flow (if statements, loops)
- Day 5: Hands-on lab – Writing and running Python code
Week 2: Data Structures in Python
- Day 6: Lists, tuples, and dictionaries
- Day 7: Sets and frozensets
- Day 8: String manipulation and formatting
- Day 9: List comprehensions and generators
- Day 10: Hands-on lab – Working with Python data structures
Week 3: Functions and Modules
- Day 11: Defining functions and function parameters
- Day 12: Scope and lifetime of variables
- Day 13: Modules and libraries in Python
- Day 14: Built-in functions and modules (e.g., math, random)
- Day 15: Hands-on lab – Creating and using functions and modules
Week 4: Object-Oriented Programming (OOP)
- Day 16: Introduction to OOP concepts
- Day 17: Classes and objects
- Day 18: Inheritance and polymorphism
- Day 19: Encapsulation and abstraction
- Day 20: Hands-on lab – Building and using Python classes
Week 5: File Handling and Exception Handling
- Day 21: Reading and writing files in Python
- Day 22: Working with different file formats (CSV, JSON)
- Day 23: Exception handling and error types
- Day 24: Handling exceptions with try-except blocks
- Day 25: Hands-on lab – File operations and exception handling
Week 6: Python Libraries and Packages
- Day 26: Introduction to NumPy for numerical computing
- Day 27: Data manipulation with Pandas
- Day 28: Data visualization with Matplotlib
- Day 29: Introduction to scikit-learn for machine learning
- Day 30: Hands-on lab – Using Python libraries for data analysis
Week 7: Web Development with Python
- Day 31: Introduction to web development with Flask
- Day 32: Creating web routes and templates
- Day 33: Handling web forms and user input
- Day 34: Building a simple web application
- Day 35: Hands-on lab – Developing a Flask web app
Week 8: Database Interaction
- Day 36: Introduction to databases and SQL
- Day 37: Using SQLite with Python
- Day 38: Connecting to and querying databases
- Day 39: Introduction to SQLAlchemy
- Day 40: Hands-on lab – Working with databases in Python
Week 9: Python for Automation and Scripting
- Day 41: Introduction to automation and scripting
- Day 42: Automating tasks with Python
- Day 43: Scripting file operations and system tasks
- Day 44: Working with external processes and APIs
- Day 45: Final project and course conclusion
The course structure and duration is suggestive. For customized course, please contact us. We will be providing customized course which will be suitable for your organizational goal.
Please contact at info@instadatahelp.com or call at +91 9903726517 to know further about the course.
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