+91 - 9327219987

info@bitbaroda.com

Python Developer Course

|| The Python Developer course offers a structured curriculum covering core Python concepts, advanced features, popular libraries and frameworks, and practical applications. Through a combination of lectures, hands-on projects, and practical exercises, students gain proficiency in Python programming and learn industry best practices.

||About : Python Developer

The Python Developer Program makes it easier to get knowledgeable about Python and related libraries. It was created by industry experts after thorough investigation. Through practical projects, develop your skills in Natural Language Processing, Machine Learning, Deep Learning, and Data Science. With the help of this program, you can drastically improve your skills, change the direction of your career, and open up new avenues. To start your journey to success, enroll now!

|| What will I learn?

Ability to write clean, efficient, and maintainable Python code following best practices and coding standards.
Proficiency in applying object-oriented principles such as classes, objects, inheritance, polymorphism, and encapsulation to design and implement Python applications.
Familiarity with built-in modules and functions for common tasks such as data manipulation, file handling, networking, and more.
Ability to build web applications using Python web frameworks such as Django or Flask.

Ability to analyze problems, break them down into smaller components, and develop Python-based solutions.
Skills in debugging and troubleshooting Python code to identify and fix errors.
Completion of hands-on projects and assignments that demonstrate proficiency in Python development across various domains.
Development of a portfolio showcasing your projects to potential employers, highlighting your skills, creativity, and problem-solving abilities.

|| What will I learn?

Ability to write clean, efficient, and maintainable Python code following best practices and coding standards.
Proficiency in applying object-oriented principles such as classes, objects, inheritance, polymorphism, and encapsulation to design and implement Python applications.
Familiarity with built-in modules and functions for common tasks such as data manipulation, file handling, networking, and more.
Ability to build web applications using Python web frameworks such as Django or Flask.
Ability to analyze problems, break them down into smaller components, and develop Python-based solutions.
Skills in debugging and troubleshooting Python code to identify and fix errors.
Completion of hands-on projects and assignments that demonstrate proficiency in Python development across various domains.
Development of a portfolio showcasing your projects to potential employers, highlighting your skills, creativity, and problem-solving abilities.

|| Requirements

Basic understanding of computer operations & Students are expected to have a willingness to learn and explore new concepts and techniques.

No Prior Programming Experience Required

|| Requirements

Basic understanding of computer operations & Students are expected to have a willingness to learn and explore new concepts and techniques.
No Prior Programming Experience Required

Introduction to Python
Overview of Python programming language
Setting up Python environment (interpreter, IDEs)
Writing and executing your first Python program
Basic syntax: variables, data types, and operators

Control Flow and Decision Making
Control structures: if-else, elif, nested if
Looping constructs: for, while
Using control flow to make decisions and iterate through code

Data Structures in Python
Lists: creation, accessing elements, list methods
Tuples: creating and accessing tuples, immutability
Dictionaries: key-value pairs, dictionary methods
Sets: creating and manipulating sets, set operations

Functions and Modules
Defining functions: syntax, parameters, return statement
Scope of variables: local and global scope
Importing modules and using functions from them
Writing and importing user-defined modules

Object-Oriented Programming (OOP) in Python
Introduction to Object-Oriented Programming (OOP) concepts
Classes and objects: defining classes, creating objects, and accessing class members
Constructors and methods: defining constructors and instance methods
Inheritance: extending classes, method overriding

Exception Handling
Understanding exceptions and errors in Python
Handling exceptions using try-except blocks
Raising exceptions, finally block, handling multiple exceptions

File Handling
Reading from and writing to files using Python I/O
File input/output operations: open(), close(), read(), write()
Working with text and binary files
Using file handling for data storage and retrieval
Module 8: Regular Expressions
Introduction to regular expressions (regex)
Pattern matching using regex: search(), match(), findall()
Regex metacharacters and quantifiers
Practical applications of regular expressions in text processing

Working with Databases
Overview of database management systems (DBMS)
Connecting to databases using Python libraries (e.g., sqlite3, pymysql)
Executing SQL queries using Python
CRUD operations: creating, reading, updating, and deleting data in databases

Introduction to Web Development with Flask
Introduction to Flask: a lightweight web framework for Python
Setting up a Flask application
Handling routes and requests: defining routes, handling HTTP methods
Templating with Jinja2: integrating HTML templates with Flask

Introduction to Data Analysis with Pandas
Introduction to Pandas: a powerful data manipulation library for Python
Series and DataFrame: creating, indexing, and manipulating data structures
Data cleaning and preprocessing techniques
Basic data analysis and visualization using Pandas and Matplotlib

Introduction to Machine Learning with Scikit-Learn
Overview of machine learning concepts and algorithms
Introduction to Scikit-Learn: a machine learning library for Python
Supervised learning: classification and regression tasks
Unsupervised learning: clustering and dimensionality reduction

Review and Project Work
Review of key concepts covered in the course
Working on a final programming project applying learned concepts
Presentation of projects and peer review

Django Basics
Creating a Django project and understanding project structure
Working with Django apps and configuring settings
Running the Django development server and accessing admin interface

Django Models
Defining data models using Django's ORM (Object-Relational Mapper)
Working with model fields, relationships, and constraints
Performing CRUD operations (Create, Read, Update, Delete) on Django models

Django Views
Understanding Django views and URL routing
Creating view functions to handle HTTP requests and render responses
Passing data from views to templates using context objects

Django Templates
Introduction to Django template language (DTL)
Creating templates for rendering HTML content dynamically
Using template tags, filters, and loops in Django templates

Django Forms
Creating HTML forms using Django forms library
Handling form submission and processing form data in views
Implementing form validation and handling validation errors

Django Authentication and Authorization
Implementing user authentication and registration in Django
Integrating Django authentication system with custom user models
Managing user permissions and access control in Django applications

Django Admin Interface
Exploring Django admin interface for managing site content
Customizing Django admin interface and registering custom models
Implementing advanced features like list filters, search, and inline editing

Django Rest Framework (DRF)
Introduction to Django Rest Framework (DRF) for building RESTful APIs
Creating API views, serializers, and URL routing in DRF
Testing and debugging Django APIs using DRF's built-in tools

Django Middleware
Understanding Django middleware and its role in request processing
Creating custom middleware components for logging, authentication, etc.
Configuring and ordering middleware in Django settings

Django Testing
Writing unit tests and integration tests for Django applications
Testing views, models, forms, and APIs in Django
Using Django's built-in testing tools and libraries (unittest, pytest)

Django Deployment
Deploying Django applications to web servers and cloud platforms
Configuring production settings and optimizing Django applications for performance
Setting up continuous integration (CI) and continuous deployment (CD) pipelines

Django Project Structure and Best Practices
Best practices for organizing Django projects and apps
Implementing separation of concerns and modular design in Django applications
Scalability, security, and maintainability considerations for Django projects

Django Advanced Topics
Advanced Django features and techniques (caching, signals, middleware)
Integrating third-party libraries and services with Django applications
Exploring Django ecosystem and community resources for further learning

Real-world Django Project
Working on a complete Django project from start to finish
Applying knowledge and skills gained throughout the course to build a real-world application
Collaborating with peers and receiving feedback on project implementation

Get in touch

I Accept The Terms & Conditions

I Agree To Get Program-related Info On WhatsApp & SMS

|| Frequently asked question

Python Development refers to the process of writing, testing, and maintaining software applications using the Python programming language. Python is known for its simplicity, readability, and versatility, making it suitable for various domains such as web development, data science, machine learning, automation, and more.

A Python Developer is a software engineer or programmer who specializes in writing code in Python to develop applications, scripts, and tools. Python Developers work across different domains, including web development, data science, machine learning, scientific computing, and system administration.

In a Python Developer course, you'll learn core Python concepts, object-oriented programming (OOP), data manipulation and analysis, web development with frameworks like Django or Flask, machine learning with libraries like Scikit-learn, automation and scripting, and more.

While prior programming experience can be helpful, many Python Developer courses are designed for beginners with no previous coding experience. However, having basic computer literacy and problem-solving skills is recommended.

You'll typically need a text editor or Integrated Development Environment (IDE) for writing Python code (e.g., PyCharm, VS Code, or Jupyter Notebook). You'll also need the Python interpreter installed on your computer to execute Python programs.

The duration of Python Developer courses can vary depending on factors such as the course format (full-time, part-time, self-paced), the depth of the curriculum, and the student's learning pace. Courses can range from a few weeks to several months.

Many Python Developer courses offer certificates of completion that you can add to your resume or LinkedIn profile to showcase your skills to potential employers. However, the availability of certificates may vary depending on the course provider.

After completing a Python Developer course, you can pursue various career opportunities, including Python Developer, Software Engineer, Data Scientist, Machine Learning Engineer, Automation Engineer, and more. Python skills are in high demand across industries.

Yes, most Python Developer courses offer support from instructors or teaching assistants. You'll typically have access to a discussion forum, live chat, or office hours where you can ask questions and get help with course materials.

Some Python Developer courses may offer job placement assistance or career services to help students find employment opportunities after completing the course. This may include resume assistance, interview preparation, and networking opportunities.

Python Developer Course

||About : Python Developer

|| What will I learn?

|| What will I learn?

|| Requirements

|| Requirements

Get in touch

|| Frequently asked question

Related courses

Asp.net Developer Course

PHP Developer Course

Java Developer Course

WordPress Developer Course

UI-UX Design Course

Angular Training Course

React Course

Android Developer Course

Software Testing Course

Full Stack Web Developer Course

Front End Web Developer Course

Useful links

Categories

IT Infrastructure

Development

Data Science

Work with us

Company

Python Developer Course

||About : Python Developer

|| What will I learn?

|| What will I learn?

|| Requirements

|| Requirements