DigiLearner Education - Python Programming

Python Programming Language

Foundation

Python, developed by Guido van Rossum in 1991, is a high-level, interpreted programming language renowned for its simplicity and readability. Its design emphasizes code clarity, enabling developers to express concepts in fewer lines of code compared to other languages like Java or C++. Python supports multiple programming paradigms, including procedural, object-oriented, and functional programming. Its extensive standard library and community-contributed modules make it highly versatile and powerful for various applications.

Scope

Python has emerged as one of the most sought-after programming languages in the modern tech landscape. Its applications span across diverse fields, including:

Web Development: Frameworks like Django and Flask facilitate building dynamic and scalable web applications.
Data Science and Machine Learning: Libraries such as Pandas, NumPy, TensorFlow, and Scikit-learn empower data analysis and AI development.
Automation: Python excels in writing scripts for automating mundane tasks, reducing manual effort.
Game Development: Used to create engaging games with frameworks like Pygame.
Cybersecurity: A popular choice for creating ethical hacking tools and security testing.
IoT and Robotics: Powers IoT systems and robotic applications, given its flexibility and integration capabilities.

Benefits

Ease of Learning and Use: Its simple syntax mimics natural language, making it beginner-friendly.
Rich Ecosystem: A vast collection of libraries and frameworks reduces development time and effort.
Cross-Platform Compatibility: Write once, run anywhere—Python programs are platform-independent.
Versatility: It supports a wide array of applications, from simple scripting to large-scale enterprise solutions.
Strong Community Support: A large and active community offers extensive resources, tutorials, and forums for learning and problem-solving.
Job Market Demand: Python skills are highly valued, leading to abundant career opportunities in software development, data science, AI, and more.

Applications Nowadays

Python is widely utilized in:

Data Science and Analytics: Used for processing, analyzing, and visualizing data efficiently.
Artificial Intelligence and Machine Learning: Powers AI-driven applications like chatbots, recommendation systems, and predictive models.
Web Development: Popular for creating robust and scalable websites.
Scientific Computing: Facilitates complex calculations and simulations in academia and research.
Blockchain and FinTech: Used for developing blockchain protocols and financial applications.
Mobile and Desktop Applications: Provides tools for building user-friendly interfaces.
Education: Its simplicity makes it a top choice for teaching programming concepts.

Python programming course

Specially design for BCA/BBA/B.Tech/ BSc. computer (Any Undergraduates)

Duration: 6 months

Mode of learning: Both Online and Offline

Contact for course fee and other details

Flexible payment available: One time | EMi monthly basis

Syllabus to be covered

1. Introduction to Python

Overview of Python and its Features
History and Applications of Python
Python Installation and Environment Setup
Running Python Programs: Interactive Mode vs. Script Mode
Introduction to Integrated Development Environments (IDEs)

2. Python Basics

Python Syntax and Indentation
Variables, Constants, and Data Types
Input and Output Operations (input() and print())
Operators: Arithmetic, Logical, Relational, Bitwise, Assignment
Type Conversion and Type Casting

3. Control Structures

Conditional Statements:
- if, if-else, if-elif-else
Looping Constructs:
- for, while, and nested loops
- Control Statements: break, continue, pass

4. Data Structures in Python

Strings: Creation, Manipulation, and Methods
Lists: Slicing, Comprehensions, and Methods
Tuples: Characteristics and Operations
Dictionaries: Keys, Values, and Dictionary Comprehensions
Sets: Set Operations and Methods

5. Functions

Defining and Calling Functions
Function Arguments: Positional, Default, Keyword, and Variable-length
*args and **kwargs
Anonymous Functions (lambda)
Recursive Functions
Scope of Variables: Local and Global

6. Object-Oriented Programming (OOP)

Classes and Objects
Constructors (__init__ method)
Inheritance and Method Overriding
Polymorphism and Encapsulation
Magic/Dunder Methods (__str__, __repr__, etc.)
Decorators and Property Methods

7. Modules and Packages

Importing Modules (import, from ... import, as)
Built-in Modules: os, sys, math, random, time, etc.
Creating User-defined Modules
Python Package Management with pip

8. File Handling

Reading and Writing Files
File Modes (r, w, a, r+, etc.)
Working with Text and Binary Files
Handling File Exceptions
File Operations with os and shutil Modules

9. Exception Handling

Understanding Errors and Exceptions
Try, Except, Else, Finally Blocks
Raising Exceptions (raise)
Custom Exception Classes

10. Python Libraries and Frameworks (Introduction)

Numpy: Basics of Arrays and Array Manipulation
Pandas: DataFrames and Data Analysis
Matplotlib: Data Visualization Basics
Flask/Django: Basics of Web Development
Tkinter: Basics of GUI Development

11. Working with Databases

Introduction to Databases and SQL
Connecting Python to Databases Using sqlite3 or MySQL
Performing CRUD Operations
Using ORM Libraries like SQLAlchemy (Optional)

12. Advanced Python Concepts

Generators and Iterators
List, Set, and Dictionary Comprehensions
Working with Dates and Times (datetime module)
Regular Expressions (re module)
Multithreading and Multiprocessing
Understanding Python's Memory Management (Garbage Collection)

13. Python for Data Science and Machine Learning (Optional)

Introduction to Data Science and Libraries: Numpy, Pandas
Data Visualization Using Matplotlib and Seaborn
Introduction to Scikit-learn for Machine Learning
Handling Big Data with PySpark (Optional)

14. Miscellaneous

Virtual Environments and Dependency Management
Basics of Unit Testing (unittest module)
Python’s Future: Understanding New Features (Latest Python Versions)

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