About the Python Course
Python is a powerful and easy-to-learn programming language. It doesn’t require you to define data types while writing the code, which makes it simple, flexible, and clean. Python checks the code while it's running and shows errors if something doesn’t make sense. This makes it great for beginners as well as professionals.
At TheSchoolWork, we also offer React JS training in Mumbai for those interested in frontend development.
What’s Included:
✅ Job Support
✅ Rich Learning Materials
✅ Training by Experienced Professors
✅ Real-World, Industry-Based Projects
Course Duration
12 Months
Daily Learning Time
2 Hours
Python Training Course
Python Course Objectives (Duration: 6 Months)
🔹Get introduced to Python and understand how it works
🔹Learn the structure and basics of Python programs
🔹Discover career opportunities in Python and job roles
🔹Explore the power and use of Python in different fields
🔹Learn how desktop applications are built using Python
🔹Understand what server-side scripting is
🔹Work with databases using Python
🔹Learn how GUI (Graphical User Interface) software works
🔹Understand the software development process
🔹Perform system-level tasks with Python
🔹Read, write, and manage files using Python
🔹Create your own custom Python packages
🔹Handle errors and exceptions in your programs
🔹Send emails using Python
🔹Analyze data with NumPy and Pandas
🔹Build software that can be run directly (executable apps)
🔹Work with CSV (spreadsheet-like) files
🔹Create charts and graphs using matplotlib
🔹Understand how client-server communication works
🔹Build a simple chat application
🔹Learn web scraping and web automation
🔹Work with JSON data formats
🔹Understand how a website’s backend connects with the frontend
Core Python
Python Basics – PPT Overview
🔹Introduction to Python
• What is Python?
• Structure of a Python program
• How Python runs your code
• Career paths and job roles in Python development
🔹Core Python Fundamentals
• How to use print() and input() functions
• Variables, data types, and operators
• Type casting (changing data types) and constructors
• Using id() and type() to learn about variables
• Detailed explanation of data types
• Formatting and editing strings
🔹Working with Data Collections
• Lists, Tuples, Sets, and Dictionaries – and how to use them
• Difference between changeable (mutable) and unchangeable (immutable) data
• Shallow copy vs. deep copy
• Using del and type conversions
🔹 Control Flow in Python
• If-else conditions and decision making
• Short-hand if-else (ternary operator)
• Loops: for and while
• Using the range() function
• Breaking or skipping code using control statements
• Using loops inside loops (nested loops)
• Short way to create lists (list comprehension)
🔹Functions in Python
• Built-in and custom (user-defined) functions
• Special arguments: *args, **kwargs, and __doc__
• Recursive functions (functions calling themselves)
• Lambda (anonymous) functions
• Using global keyword
• Returning more than one value
🔹Arrays & Sorting
• Using 1D and 2D arrays with lists
• Sorting different types of collections
🔹Object-Oriented Programming (OOP)
• Creating classes and objects
• Using self and del keyword
• Constructors and destructors
• Hiding data using encapsulation
• Nested functions inside classes
• Reflection (accessing class attributes dynamically)
• Inheritance and Polymorphism (code reuse and flexibility)
• Types of inheritance (single, multiple, etc.)
• Overloading and overriding methods
• Using issubclass() and super()
• Special built-in methods (like __init__, __str__)
• Using operators in custom ways (operator overloading)
🔹Handling Errors
• Using try, except, else, and finally blocks
• Creating your own exceptions
• Using raise and assert for error handling
🔹Working with Files
• Different modes for opening files (read/write/etc.)
• Reading from and writing to files
🔹Python Modules
• Using built-in modules like:
• datetime
• time
• math
• random
• uuid
• Creating and importing your own modules
• Using __name__ == "__main__"
• Making and using packages
• Understanding __init__.py and dir()
🔹Regular Expressions (RegEx)
• Using the re module to find patterns in text
🔹Command Line Arguments
• Using sys module
• Accepting inputs using sys.argv
🔹Using Pip and Working with Databases
• What is SQL and how it works
• Running SQL queries
• Introduction to XAMPP and phpMyAdmin
• Performing Create, Read, Update, Delete (CRUD) operations
• Installing and using MySQL connector in Python
🔹Creating Desktop Apps with Tkinter
• Using the Tkinter module to create GUI (graphical user interface)
• Buttons, text boxes, labels, and other UI elements (widgets)
• Positioning elements on the screen
• Handling user interactions like mouse clicks
• Showing pop-up messages with messagebox()
• Displaying images with PhotoImage() and Pillow library
Advance Python
🔹OS & Subprocess Module
• Learn basic terminal (command line) commands
• Use the os module to interact with the operating system
• Use the subprocess module for running system commands using call() and Popen()
🔹Multithreading & Sending Emails
• What are threads, and how they work inside a program
• Use the threading module to run multiple tasks at the same time
• Learn how to send emails using Python
• Use the smtplib and email modules for sending messages online
🔹Iterators, Generators & Closures
• Use __iter__() and __next__() methods
• Learn how to use iter() and next() functions
• Create generator functions using yield
• Understand the difference between local, global, and nonlocal variables
🔹Higher Order Functions
• Work with useful built-in functions: sorted(), map(), reduce(), and filter()
🔹Decorators in Python
• Learn to create and use simple decorators
• Chain multiple decorators
• Use @classmethod and @staticmethod
• Use property() and @property for cleaner class code
🔹Virtual Environment
• Create and manage isolated Python environments using:
• virtualenv
• venv
• requirements.txt
• pipenv
🔹Working with Python Editors & IDEs
• Use different tools to write Python code:
• Sublime Text 3
• Visual Studio Code (VS Code)
• Anaconda Navigator
• PyCharm IDE
🔹Data Analysis with NumPy
• Learn NumPy, a powerful data analysis library
• Understand NumPy data types
• Work with arrays: 1D & 2D
• Perform math operations and broadcasting
• Learn array indexing and slicing
🔹Popular Python Modules
• Create QR codes using the qrcode library
• Convert Python code into an executable app using pyinstaller
• Work with CSV files using the csv module
🔹Data Analysis with Pandas
• Use the Pandas library for advanced data analysis
• Work with DataFrames and Series (Pandas data structures)
• Handle missing data
• Merge and combine datasets
• Sort, pivot, and aggregate data
• Use statistical functions
• Apply functions in different ways
• Group and transform data
• Reindex and rename columns
🔹Data Visualization
• Use the matplotlib library for charting and graphs
• Create different types of charts using pyplot
🔹Networking
• Learn what are sockets and ports
• Understand the client-server model
• Use the socket module to create basic networking applications
🔹Web Scraping
• Use the requests and beautifulsoup libraries
• Collect data from websites automatically
🔹Web Automation
• Use the selenium library to automate browser task
• Work with different browser drivers (Chrome, Firefox, etc.)
🔹Working with JSON
• Understand what JSON is and how it works
• Use the json module to read, write, and convert data
• Learn serialization and deserialization
• Work with live JSON data from APIs
🔹Introduction to Web Development with Flask
• Learn basic HTML
• Understand what a web framework is
• Install and use Flask to build web apps
• Learn routing, passing variables in URLs
• Handle different HTTP methods (GET, POST)
• Use HTML templates and static files
• Send form data to backend
• Upload files using Flask
Django Web Development
🔹Introduction to Django Framework
• What is a web framework?
• Understanding Django’s MVT (Model-View-Template) structure
• Set up a virtual environment
• Install Django and explore its folder structure
🔹Building Your First Django Project
• Create your first Django project and web application
• Understand how URL routing works
• Create views to control what users see
• Run your Django app on a local server
🔹Working with Templates
• Set up paths for your HTML templates
• Create and connect templates using URLs
• Pass data to templates using context
• Use Django Template Language (DTL) for displaying data
• Learn about tags, filters, and variables
• Reuse templates using template inheritance
🔹Handling Forms
• Build forms using raw HTML and Django’s built-in form classes
• Use form widgets to improve user input
• Show the same form in different templates
🔹URL Routing in Depth
• Handle dynamic URLs
• Link multiple apps in one project
• Use namespacing for organized routing
• Reverse URLs with Django functions
🔹Views and Reusability
• Function-Based Views (FBV)
• Class-Based Views (CBV)
• Convert FBV into CBV
• Create reusable view logic using mixins
🔹Working with Static Files
• Set up folders for static and media files (CSS, JS, images)
• Use Bootstrap to enhance your web design
• Collect static files for deployment
🔹Django Models and Database
• Create Django models to store app data in a database
• Learn about different model field types
• Use model inheritance
• Register apps and apply migrations
• Update models and migrate again
🔹Django Admin Panel (DAP)
• Create a superuser to access the admin panel
• Explore and customize the admin interface
• Add, update, delete records using the admin panel
• Use @admin.register() to simplify admin configuration
🔹Using Django ORM
• Use Django’s Python shell to interact with the database
• Perform CRUD operations (Create, Read, Update, Delete)
• Filter and retrieve data using QuerySets
• Pass data to templates dynamically
🔹Form Validation and ModelForm
• Use Django’s ModelForm to simplify form creation
• Add validation rules
• Set default values for forms
🔹Working with MySQL
• Connect your Django project to a MySQL database
• Use XAMPP and phpMyAdmin for database management
🔹User Authentication
• Use @login_required for FBVs and LoginRequiredMixin for CBVs
• Implement login, logout, and authentication functions
• Use get_object_or_404() to safely retrieve records
🔹Creating APIs with Django Rest Framework (DRF)
• Introduction to DRF and how to install it
• Add DRF to your project settings
• Learn about serializers and deserializers
• Build APIs using serializers, function views, class views, mixins, and generic views
• Test APIs in the browser and Postman
• Set up DRF URLs and authentication
🔹Advanced DRF Features
• Understand different types of ViewSets and Routers
• Use permissions and authentication settings
• Document APIs using the drf-yasg library
• Generate browsable API documentation
🔹Deploying Your Django Project
• Push your code to GitHub
• Deploy your Django site on pythonanywhere
• Use collectstatic to prepare files for live deployment
Python Training Course Overview
We Are One of the Leading Python Training Providers in Mumbai
Python programming is one of the most in-demand skills in the global job market today. It’s among the top three programming languages in the world and continues to grow in popularity, as highlighted by ZDNet and the PYPL Index. With Python skills, you can find job opportunities not only in India but also in countries like Switzerland or Australia. Where would you like to work? Learning Python can be your gateway to exciting career opportunities across the globe.
TheSchoolWork is also offering Java training courses in Mumbai.
Why Learn Python?
If you're into tech development or business, Python is a must-have skill. Startups love Python because it supports fast, flexible, and adaptive development. In fast-paced environments where products are constantly improving, Python helps developers quickly adjust and innovate—making it perfect for new businesses aiming for success.
By learning Python, you increase your value to potential employers. Our course will teach you how to work with data in Python, handle strings, write conditional statements, manage errors, and build web applications using Django—one of the most widely used Python frameworks.
Whether you're just starting or looking to expand your skills, our Python certification course is the perfect way to explore the world of Python programming.
✔️If you spend about 40 hours a week learning Python, it could take around 250 hours in total to build strong Python skills.
✔️Python alone might help you land a job, but most jobs also need other skills. For example, if you're working on web applications, you might also need to know JavaScript, HTML, CSS, or MySQL. Specializing in one area while being flexible with others helps you stand out.
✔️Yes! Freshers can definitely get jobs in Python. Just focus on building a strong foundation and keep learning — your first job in Python can be your first step toward a great career.
✔️On average, a Python Developer in India earns about ₹4.3 lakhs per year, which is around ₹35,800 per month.
