Python Course Online
Our best Python course online is designed to turn you into an expert programmer ready to become a professional developer. You’ll learn Python and the Django framework from the basics, helping you create dynamic web applications with real-world projects. python certification online course covers everything from machine learning and AI to web development and data science, with guidance from certified instructors and an up-to-date curriculum. By the end of the course, you’ll have strong, practical knowledge of Python and its various applications.

Python Course Fees
Key Features
Python Certification

Key Features
Python Certification

Python Course Prerequisites:
Before starting a Python course online, it helps to know basic computer skills, like handling files and using the internet. Some familiarity with math concepts, such as variables and logic, is useful too. Having an understanding of programming ideas, like loops and functions, is a plus, but not required. Most importantly, be eager to learn!
Enroll in our Python Course Online and gain expertise with a recognized certification. Become a skilled Python programmer today.
Python Course Syllabus
Module 1: Introduction to Python
- What can Python do?
- Why choose Python?
- Key things to know
- Python syntax vs other programming languages
- Installing Python
Module 2: Python Basics
- The print statement
- Comments in Python
- Data structures and types
- Working with strings
- Input and output in Python
- Simple output formatting
- Operators in Python
Module 3: Python Program Flow
- Indentation in Python
- Using the if statement
- Example of if and related statements
- while loop
- for loop
- range function
- break and continue
- Using assert
- Examples of loops
Module 4: Functions and Modules
- Creating functions
- Function parameters
- Working with variable arguments
- Scope of a function
- Documenting functions
- Lambda functions and map
- Exercises with functions
- Creating a module
- Standard Python modules
Module 5: Exception Handling
- Types of errors
- Using try for exception handling
- Handling multiple exceptions
- Creating your own exceptions
Module 6: File Handling
- File modes (read, write, etc.)
- Adding Filters and Drill Features
- Reading and writing files
- Appending data to files
- Handling file errors
- Using with statement for files
Module 7: Classes in Python
- Creating classes
- Instance methods
- Inheritance
- Polymorphism
- Creating custom exceptions
Module 8: Iterators and Generators
- Working with iterators
- Creating generators
- Functions any() and all()
- Using the with statement
- Data compression
Module 9: Data Structures
- List comprehensions
- Nested list comprehensions
- Dictionary comprehensions
- Functions and default parameters
- Sorting data
Module 10: Collections in Python
- namedtuple()
- deque
- ChainMap
- Counter
- OrderedDict
- defaultdict
- UserDict, UserList, UserString
Module 11: Building GUIs with Tkinter
- Introduction to GUI programming
- GUI components and events
- Creating a simple GUI
- Using the root component
- Adding buttons, text fields, and checkboxes/li>
Module 12: Python and SQL Databases
- Introduction to databases
- Installing and setting up a database
- Connecting to a database
- CRUD operations (Create, Read, Update, Delete)
- Using COMMIT and ROLLBACK
- Handling database errors
Module 13: Network Programming
- Introduction to network programming
- Creating a simple Daytime Server
- How clients and servers communicate
- Writing the client and server programs
Module 14: Date and Time
- Using sleep() to pause programs
- Measuring program execution time
- Working with date and time methods
Module 15: More Python Features
- Functions: filter(), map(), and reduce()
- Using decorators
- Working with frozenset
- Advanced collections
Module 16: Regular Expressions
- Using split()
- Handling special characters like dates and emails
- Working with quantifier
- Finding and replacing text
- Using the search() method
Module 17: Multithreading in Python
- Introduction to classes and threads
- Basics of multithreading
- Synchronizing threads
- The thread lifecycle
- Practical use cases for threads
Module 18: Accessing APIs
- Introduction to APIs
- Working with the Facebook Messenger API
- Using the OpenWeather API
Module 19: Django Web Framework
- Introduction to Django
- Installing Django
- Creating a Django project
- Deep dive into Django projects
- Creating a simple web application
- Understanding Django folder structure
- Creating a “Hello World” page
- Working with databases and views
- Handling static files and forms
- Django APIs and security features
FAQ:
1. What is Python used for?
Python is used in web development, data analysis, automation, artificial intelligence, and more due to its simplicity and flexibility.
2. Is Python beginner-friendly?
3. Do I need prior programming knowledge?
4. How much time is needed to learn Python course online training?
It varies; basic concepts can take a few weeks, but mastering it takes months of practice.
5. Which jobs can I get with Python skills?
6. What top companies have Jobs in Python?
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