Python Course – Databits Tecnologia

About Course

A Python course is designed to teach individuals the fundamentals of Python programming and its applications across various domains. Here’s a detailed overview of what a typical Python course entails, including course objectives, target audience, and structure.

Key Learning Objectives
1. Understanding Python Basics
a. Learn Python syntax, data types, and control structures.
b. Write simple scripts and understand how Python interprets code.
2. Mastering Data Structures
a. Work with lists, tuples, sets, and dictionaries to manage and manipulate data effectively.
3. Programming Fundamentals
a. Develop programming skills through functions, error handling, and modular programming.
4. Object-Oriented Programming (OOP)
a. Understand OOP concepts, including classes, objects, inheritance, and polymorphism.
5. Working with Libraries
a. Utilize popular Python libraries for data manipulation (e.g., NumPy, pandas) and web frameworks (e.g., Flask, Django).
6. Real-World Applications
a. Apply Python skills in practical projects, including web applications, data analysis, automation scripts, and machine learning models.

Course Content

Introduction to Python

Overview of Python and its applications.
Setting up the development environment (installing Python, IDEs).
Writing and running your first Python program.

Python Basics

Data Structures

Functions and Modules

File Handling and Exception Handling

Object-Oriented Programming (OOP)

Working with Libraries

Web Development with Python

Automation and Scripting

Final Project

Optional Topics (Electives)

Call: 9330632797

Call: 6290703325

Email: databitstechno@gmail.com

Call: 9330632797

/ 6290703325

databitstechno@gmail.com

About Course

What Will You Learn?

Course Content

Introduction to Python

Overview of Python and its applications.

Setting up the development environment (installing Python, IDEs).

Writing and running your first Python program.

Python Basics

Data Types: Integers, floats, strings, booleans.

Control Structures: Conditional statements (if, else, elif) and loops (for, while).

Basic Input/Output: Using input() and print() functions.

Data Structures

Lists: Creating, accessing, and manipulating lists.

Tuples: Understanding tuples and their immutability.

Sets: Working with sets and their properties.

Dictionaries: Key-value pairs and how to use them effectively.

Functions and Modules

Defining Functions: Parameters, return values, and scope.

Lambda Functions: Understanding and using anonymous functions.

Modules and Packages: Importing built-in and external modules.

File Handling and Exception Handling

File Operations: Reading from and writing to files.

Exception Handling: Using try-except blocks to manage errors gracefully.

Object-Oriented Programming (OOP)

Classes and Objects: Creating classes and instances.

Inheritance and Polymorphism: Utilizing parent-child relationships and method overriding.

Encapsulation: Protecting data through access modifiers.

Working with Libraries

NumPy: Understanding arrays and mathematical operations.

pandas: Data manipulation and analysis with DataFrames.

Matplotlib: Data visualization techniques.

Web Development with Python

Flask Framework: Building simple web applications.

Django Framework (optional): Overview of building larger applications with Django.

Automation and Scripting

Writing Automation Scripts: Automating routine tasks with Python.

Web Scraping: Using libraries like BeautifulSoup and Scrapy to extract data from websites.

Final Project

Project Design and Implementation: Apply learned skills to create a complete project.

Project Presentation: Demonstrate the project, discussing design choices and challenges faced.

Optional Topics (Electives)

Machine Learning Basics: Introduction to machine learning with scikit-learn.

Testing and Debugging: Writing tests with unittest and debugging techniques.

Quick Links

Internship

Trainings

Summer/ Winter Trainings

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