Real-World Projects & Industry Work
- Job Support
- Rich Learning Content
- Taught by Experienced Prof.
- Industry Oriented Projects
10 Months
Power Skill Training
2 Month
Project Training
About Python Course
Python is a dynamic, deciphered (bytecode-incorporated) language. The source code has no statements of factors, boundaries, capacities, or techniques. This makes the code short and adaptable, and you lose the order time type checking of the source code. Python tracks the qualities at runtime and banners code that doesn’t appear legitimate as it runs. React JS Training in Ahmedabad is also offered at Red & White Skill Education.
Eligibility
- Perfect for 12th pass/college students/beginners in IT
- Learn from expert mentors with industry experience
- Focus on practical + theoretical learning
- Build your first coding projects with guidance
- Get a recognised certification to boost your career
Why Choose This Python Course
Industry-Oriented Live Python Projects
Gain real-world coding experience through hands-on Python projects in web development, data analysis, and automation tasks.
Expert Mentors with 10+ Years in Python Development
Learn from industry professionals with extensive experience in Python programming, AI, and full-stack development.
Practical-Based Python Learning Approach
Master Python concepts with project-driven learning, coding challenges, and AI-powered tools to enhance productivity.
Recognized Python Certification & Job-Ready Portfolio
Earn a recognized certificate and build a strong Python portfolio to secure high-paying jobs or freelance opportunities.
Course Curriculum
- Python Training Course (2 Months)
- Core Python
- Advance Python
- Django Web Development
Python Course Objectives
- Introduction to Python
- Anatomy of Python
- How does Python work?
- A career in Python Technologies and Job Rules
- Potential of Python
- How Desktop Apps Created?
- What is Server-Side Scripting?
- How to Deal with Database
- Understand the working of any GUI Software
- Software making Process
- Working with System Programmatically
- How to interact with Files
- Creating your own Python Packages
- Dealing with Exceptions and Errors
- Emailing with Python
- Data Analysis with NumPy & Pandas
- How to make your executable Software?
- Interacting with CSV files
- Data Visualization with matplotlib
- Anatomy of client-server architecture.
- Creating a Chat App
- Web Scrapping & Web Automation
- How to work with JSON data?
- How does the website’s backend work with the front-end?
Introduction to Python (PPT)
- Introduction to Python
- Anatomy of Python
- How does Python work?
- A career in Python Technologies and Job Rules
Fundamentals of Python
- print() and input() Functions
- Variables, Datatypes & Operators
- Type Casting Constructors
- id() and type() Functions
Datatype in Detail
- String Formatting & Manipulation
- Collection Datatypes with Its Methods
- The mutability of list & tuple
- Shallow & Deep Copy
- Type Casting and del Keyword
Control Structure
- Types of Control Structure
- Short Hand Syntax (Ternary)
Looping
- Types of Loops
- range() Function
- Control Statements
- List Comprehension
- Nested Loop
Function in Detail
- Built-in Functions
- UDF
- *args, **kwargs and __doc__
- Function Recursion
- Anonymous / Lambda Function
- global keyword
- Return Multiple Values
Array & Sorting
- 1D & 2D Array with List
- Sorting Collection Datatypes
Object Oriented Programming (OOP)
- Class & Object
- Self & del Keyword
- Constructor and Destructor
- Encapsulation
- Nested Function
- Reflection Enabling Functions
Inheritance & Polymorphism
- Types of Inheritance
- Method Overloading & Method Overriding
- issubclass() and super()
- Built-in Dunder Methods
- Operator Overloading
Exception Handling
- try … except
- try … except … else
- try … except … finally
- try … except … else … finally
- Custom exception
- raise & assert keyword
File Handling
- Modes of Opening File
- I/O Operation with File
Working with Modules
- DateTime module
- time module
- math module
- random module
- uuid module
Modules and Packages
- Creating, Importing & Renaming modules
- __name__ with __main__
- Creating & Using Package
- dir() and __init__.py
Regular Expression (RegEx)
- re module
- Getting Specific Pattern-wise Data
Command Line Argument (CLA)
- sys module
- sys.argv
Pip – Package Manager & Database Interaction (with MySql)
- What is SQL?
- SQL Queries
- Intro to XAMPP (phpMyAdmin)
- CRUD Operation with XAMPP (phpMyAdmin)
- Downloading and Installing Package
- MySQL-connector module
- CRUD Operation with Python’s MySQL.connector
GUI with Tkinter
- Tkinter module
- Tkinter widgets
- Tkinter geometry
- Binding functions
- Mouse clicking events
- messagebox()
- Types of the pop-up box
- PhotoImage()
- pillow library
- Display image using pillow library
Ios & subprocess Module
- Basic Terminal Commands
- os module
- subprocess module with call() & Popen()
Multithreading & Email
- What is Thread in a Process?
- threading module
- Working with Email sending through the Internet
- smtplib module
- email Package
Iterators, Generators & Closures
- __iter__() & __next__()
- iter() & next()
- yield Keyword
- Generator Function
- Generator Object
- global, local & nonlocal Variables
HIGHER ORDER FUNCTIONS
- sorted(), map(), reduce() & filter()
DECORATORS
- Simple Decorator
- Chaining Decorator
- @classmethod & @staticmethod
- property() & @property
Virtual Environment
- virtualenv
- venv
- requirements.txt
- pipenv
Working with Editors & Idle
- Sublime Text 3
- VS Code
- Anaconda Navigator
- PyCharm IDE
Data Analysis with NumPy
- NumPy Library
- NumPy Datatypes
- Array Indexing
- Array Math & Broadcasting
- 1D & 2D Array
- Arithmetic Operations on 2D Array
Hot Modules of Python
- qrcode Library
- pyinstaller Library
- CSV module
Data Analysis with Pandas
- Pandas Library
- Data Structure
- Operations on DataFrames
- Handling Missing Data
- Boolean Reductions
- Combining DataFrames
- pivoting, sorting & aggregation
- Descriptive Statistics
- Types of Function Application
- group by() & transform()
- Re-indexing& Altering Labels
Data Visualization
- matplotlib Library
- Types of Charts with pyplot
Networking
- What is Socket & Port?
- What is Client & Server
- socket module
- Socket Programming
Web Scrapping
- requests Library
- beautifulsoup Library
Web Automation
- selenium Library
- Different Browser’s WebDrivers
JSON Parsing
- What is JSON?
- JSON module
- Serialization & Deserialization of Data
- Read and Write JSON data with File
- Working with Live JSON API Data
Introduction to Web Development
- Basic HTML
- What is Framework
- Installing Flask Microframework and Run First Web App
- Routing and Variable Rules
- URL Building
- HTTP Methods
- Templates
- Static Files
- Sending Form Data to Template
- File Uploading
Introduction to Django Framework (PPT)
- What is a Web Framework?
- MVT Architecture
- Setup Virtual Environment
- Installing Django
- Exploring Directory Structure
- Creating First Django Project
Setting up Django Web App
- Creating First Django App
- Understanding URL Routing
- Handling Different Views
- Running Web App on Server
Templates with DTL (Django Template Language)
- Setup Template directory’s Path
- Creating and Rendering Templates using URL Routings *
- Passing Context in Multiple Templates
- Using DTL to load context in Template
- Tags, Variables & Filters
- Template Inheritance
Form Handling
- Raw HTML Form
- Pure Django Form
- Form Widgets
- Display Form to Multiple Templates
URL Routing
- Dynamic URL Routing
- Creating and Linking Multiple Apps
- In-App URL Routing & Namespacing
- Django URLs Reverse
Views and Mixins
- FBV (Function Based Views)
- CBV (Class-Based Views)
- Convert FBV to CBV
- Custom Mixins for CBV
Static File Handling
- Setup static and media directory’s Path
- Adding Bootstrap for Frontend Enhancement
- Collect Static Files
Working with Models
- Django Database Models
- Model Fields
- Model Inheritance
- Add an App to INSTALLED_APPS
- Migrating Models to Database
- Update Models and Migrate
DAP (Django Admin Panel)
- Creating Superuser
- Exploring DAP
- Manage Superuser
- CRUD Operations with DAP
- @admin.register()
- Customizing DAP
ORM (Object Relational Mapper)
- Using Django python-shell
- Using ORM to deal with Database
- CRUD Operation using ORM
- Retrieve Data using Filters
Dynamic Templates
- Dynamic Webpages
- Retrieve Data using QuerySets
- Passing context to Template
Form Validation
- Django ModelForm
- Form Validation Methods
- Setting initial values for Forms
Working with Another Database
- Integrating MySQL Database
- Using XAMPP for Database Interaction
User Authentication
- @login_required decorator for FBV
- LoginRequiredMixin for CBV
- login(), logout() and authenticate() methods
- get_object_or_404() method
Creating APIs Using DRF (Django Rest Framework)
- Intro and Installing DRF
- Add DRF to INSTALLED_APPS
- Adding REST_FRAMEWORK in settings.py
- What is Serializer and Deserializer?
- Serializer Class and ModelSerializer Class
- APIs using Serializers, FBV, CBV, Model Mixins and Generic API Views
Testing Browsable APIs
- Using DRF’s URL
- Using Postman
Routing and Authentications in DRF
- Types of ViewSets
- Types of Routers
- authentication_classes and permission_classes properties
Documenting APIs
- Using drf-yasg package
- Integrating drf-yasg into settings.py
- Generating APIs Docs
- Test browsable APIs using drf-yasg’s url
Publishing Django Web Application
- Deploy on GitHub
- Deploy on pythonanywhere
- Collect Static Files
AI Tools to Learn
Chat gpt
BlackBox
Technical Tools & Software to Learn
Python
Job Scope After Course Completion
- Python Developer
- Django Developer
- Flask Developer
- Data Analyst
Who will you learn from
- Syllabus Mentor
- SMEs
Ms. Anwesha Kar
Mr. Alok Kumar
Mr. Piyush Jinjala
Mr. Venu Madhav
Mr. Sneh Mehta
Mr. Jemish Lakhani
Mr. Mohit Rajput
RWn. Mohit Savliya
RWn. Piyush Nakrani
RWn. Milan Kathiriya
RWn. Chakshu Adani
Hear from our Students
Jay Donda
UI/UX & Graphic Design
Nishita Manjaravala
Full Stack Development
Nayan Gayke
ITA-CS+
We are also available
FAQ
Who can join Python Course?
- If you want to work as a Python Developer, this course is for you. If you are a fresh graduate or want to change your domain in the IT field, then you can do this course. You have the right to choose the career path of your choice.
Why should I learn Python?
- To secure your future career options with excellent prospects in almost every IT field.
I am experienced, so can I do this program?
- Of course, we are sure that you will learn something from this course.
Whose pre-requisites do you have to learn this program?
- You should know basic C & C++ programming. But you can still enrol on this course if you need a better grip.
What is the mode of payment of fees?
- We accept both traditional processes and online processes. You can also pay fees with the help of EMI.
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