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Python Core Certification
Course Duration- 180 Hourse | Internship Plus
Course Objectives:
Enabling competencies in these emerging front-end technologies: HTML, CSS, and JavaScript.
Teach back-end development using Python frameworks like Flask and Django.
Develop hands-on experience on how to manage and integrate data in SQL and NoSQL databases.
Develop understanding in RESTful API development and microservices architecture.
Industry Readiness Certification Programs
About Python Core Certification
The Full Stack Python Core Certification trains potential developers who have an in-depth knowledge of front-end as well as back-end development, using Python. Some topics that it covers would range from the basic principles of Python programming, web development through frameworks such as Flask and Django, database management using SQL as well as NoSQL databases, building real-world applications, utilizing RESTful APIs, and best practices for software development.
This Course is Suitable For
- Beginners: Basic computer literacy is sufficient to start learning Python programming and web development concepts.
- Students and Professionals:Ideal for individuals looking to enhance their software development skills or transition into a Python development career.
- Career Changers: Perfect for professionals from non-tech backgrounds who want to pivot into software development and learn full-stack development using Python.
Course Syllabus Highlights:
Module 1: Introduction to Python
- Overview and History of Python: Why Python is popular, major applications.
- Python Installation and Setup: Installing Python, setting up an IDE (PyCharm, VS Code).
- Writing and Running Code: Basic syntax, running scripts, using REPL (Read-Eval-Print Loop).
Module 2:Basic Syntax and Data Types
- Data Types: int, float, str, bool, None.
- Variables and Assignment: Dynamic typing, variable naming conventions.
- Operators: Arithmetic, relational, logical, assignment, and membership operators.
Module 3: Control Flow Statements
- Loops: for, while, nested loops.
- Loop Control: break, continue, pass.
Module 4:Functions and Modules
- Defining Functions: def keyword, parameters, and return values.
- Default and Keyword Arguments: Using default parameters and keyword arguments.
- Lambda Functions: Anonymous functions and simple use cases
- Modules and Packages: Importing built-in and external libraries, pip for package management.
Module 5: Data Structures
- Lists: Creating, indexing, slicing, and modifying lists.
- Tuples: Immutable lists, uses, and methods.
- Dictionaries: Key-value pairs, basic methods, and dictionary comprehension.
- Sets: Unordered collections, set operations (union, intersection).
Module 6:String Manipulation
- String Basics: Creating, indexing, and slicing strings.
- String Methods: upper, lower, find, replace, split, join.
- String Formatting: f-strings, .format(), % formatting.
- Regular Expressions: Basic pattern matching with the re module.
Module 7:File Handling
- File Operations: Opening, reading, writing, and closing files (open, read, write, close).
- File Modes: r, w, a, r+.
- Using with Statement: Context management for handling files.
- Working with CSV and JSON Files: Reading and writing structured data.
Module 8: Error Handling and Exceptions
- Exception Basics: try, except, finally.
- Exception Types: Common exceptions (ValueError, TypeError, FileNotFoundError).
- Custom Exceptions: Defining and raising custom exceptions.
- Using else with try-except: Additional exception handling patterns.
Module 9:Object-Oriented Programming (OOP)
- Classes and Objects: Defining classes, creating objects
- Constructors: __init__ method and instance attributes.
- Inheritance: Creating subclasses, super() function..
- Method Overriding and Polymorphism: Defining methods in child classes.
- Encapsulation and Data Hiding: Using private and protected members.
Module 10:Modules and the Standard Library
- Important Standard Libraries: math, datetime, random, os, sys.
- Working with Dates and Times: datetime and time modules.
- Generating Random Numbers: random library for simulations and games.
- OS Module for File System Operations: Navigating file paths, creating/deleting directories
Module 11:Comprehensions and Generators
- List, Dictionary, and Set Comprehensions: Concise syntax for creating collections.
- Generators: Using yield for creating generator functions.
- Generator Expressions: Efficient data processing in memory.
Module 12: Decorators and Advanced Function Concepts
- Function Decorators: Adding functionality to functions.
- Higher-Order Functions: Functions as arguments and return values.
- Closures: Functions with nested scope, persistent state.
Module 13: Introduction to Data Science and Libraries (Optional)
- NumPy: Arrays and basic numerical operations.
- Pandas: Dataframes for data manipulation.
- Matplotlib and Seaborn: Basic data visualization techniques.
Module 14: Project Development Basics
- Organizing Code: Using modules, packages, and project structure.
- Basic Debugging Techniques: Using print statements, the logging module, and basic debugging in IDEs
- Developing a Simple Application: Integrating core concepts into a small project.
Module 15:Assignment / Mini Project
- Project Ideas: Calculator, contact management system, or text-based game.
- Code Review and Presentation: Documenting and sharing the final project.
What You'll Learn?
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Python Programming Fundamentals
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Advanced Python Concepts
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Web Development Basics
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Back-End Development with Python
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Database Management
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RESTful API Development
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Deployment and DevOps
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Software Development Best Practices
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Real-World Projects
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Career Preparation
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