Python for Beginners
Python for Beginners, available at $74.99, has an average rating of 4.59, with 103 lectures, based on 9429 reviews, and has 121297 subscribers.
You will learn about How to write a code Learn Python Language Build Apps using Python Building Web Application using Python This course is ideal for individuals who are Beginners who want to get into software development, web development, machine learning It is particularly useful for Beginners who want to get into software development, web development, machine learning.
Enroll now: Python for Beginners
Summary
Title: Python for Beginners
Price: $74.99
Average Rating: 4.59
Number of Lectures: 103
Number of Published Lectures: 103
Number of Curriculum Items: 103
Number of Published Curriculum Objects: 103
Original Price: ₹799
Quality Status: approved
Status: Live
What You Will Learn
- How to write a code
- Learn Python Language
- Build Apps using Python
- Building Web Application using Python
Who Should Attend
- Beginners who want to get into software development, web development, machine learning
Target Audiences
- Beginners who want to get into software development, web development, machine learning
You will learn Python in this course.
Python is one of the fastest-growing languages.
Python is interpreted, object-oriented, high-level, procedure-oriented language
It has different versions
The reason behind it is that there are a huge number of libraries available on the market, many companies and developers are using them, and they can be implemented in many areas.
It is a general-purpose language, as it can be used in Machine learning, GUI, Software Development, Web development, and many more.
Google, YouTube, Dropbox, NASA, and Yahoo use python
Django is a powerful, high-level web framework built with Python that follows the Model-View-Template (MVT) architectural pattern. The Django Software Foundation (DSF) is in charge of maintaining it as a free and open-source framework. The primary objective of Django is to simplify the development process of complex, database-driven websites.
A framework, in general, is a set of pre-written code and tools that provide a structure for building applications. It offers a foundation and common functionalities, allowing developers to focus on application-specific logic rather than dealing with low-level details. Django provides numerous built-in features and libraries that assist in handling common web development tasks, such as URL routing, form handling, authentication, and database management.
There are several reasons why developers choose Django for web development. Firstly, Django emphasizes the concept of “batteries included,” meaning it comes with a wide range of ready-to-use components, reducing the need for external libraries. This saves development time and effort. Additionally, Django promotes the use of reusable code through its modular design, enabling developers to build applications quickly and efficiently.
Django can be used to develop both static and dynamic websites. For static websites, Django can serve as a content management system (CMS) where developers can easily manage and update the site’s content. For dynamic websites, Django’s MVT pattern plays a crucial role. The MVT architecture separates the application logic into three components:
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Model: Represents the data structure and database schema. It defines the data models, relationships, and interactions with the database.
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View: Handles the business logic and acts as an intermediary between the model and the template. It processes requests, retrieves data from the model, and prepares it for rendering.
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Template: Defines the presentation logic and represents the user interface. It determines how the data is displayed to the user.
The MVT pattern promotes a clean separation of concerns, making the code more maintainable, reusable, and testable. Django’s built-in ORM (Object-Relational Mapping) simplifies database operations, providing an intuitive way to interact with the database without writing complex SQL queries.
Overall, Django’s robust features, scalability, security measures, and its supportive community make it an excellent choice for building large-scale, database-driven websites efficiently and effectively.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Lecture 2: Python Installation
Lecture 3: Getting Started with Python
Chapter 2: Variables and Types
Lecture 1: Variables
Lecture 2: List
Lecture 3: Tuple | Set
Lecture 4: Set Path in Windows And Help
Lecture 5: Sublime Text Editor
Lecture 6: More on Variables
Lecture 7: Data Type
Chapter 3: Operators
Lecture 1: Operators in Python
Lecture 2: Number System Conversion
Lecture 3: Bitwise Operator
Chapter 4: Math and User Input
Lecture 1: Import Math Function
Lecture 2: Working with PyCharm | Run | Debug | Trace | py file
Lecture 3: User Input | Command Line
Chapter 5: Conditionals and Loops
Lecture 1: If Elif Else Statement
Lecture 2: While Loops
Lecture 3: For Loop
Lecture 4: Break Continue Pass
Lecture 5: Break vs Continue vs Pass
Lecture 6: Printing Patterns
Lecture 7: For Else
Lecture 8: Prime Number
Chapter 6: Arrays and Numpy
Lecture 1: Array
Lecture 2: Accepting array values from User in Python Search in Array
Lecture 3: Why Numpy? Installing Numpy in Pycharm
Lecture 4: Ways of Creating Array
Lecture 5: Copying an Array
Lecture 6: Working With Matrix
Chapter 7: Functions
Lecture 1: Functions
Lecture 2: Functions Arguments
Lecture 3: Type of Arguments
Lecture 4: Keyworded Variable Length Arguments in Python
Lecture 5: Global Keyword
Lecture 6: Pass List to a Function
Lecture 7: Fibonacci Sequence
Lecture 8: Factorial
Lecture 9: Recursion
Lecture 10: Factorial Using Recursion
Lecture 11: Anonymous Functions | Lambda
Lecture 12: Filter Map Reduce
Lecture 13: Decorators
Chapter 8: Modules
Lecture 1: Modules
Lecture 2: Special Variable __name__
Lecture 3: Special Variable __name__ 2
Chapter 9: OOPs Concepts
Lecture 1: Introduction
Lecture 2: Class and Object
Lecture 3: __init__ method
Lecture 4: Constructor, Self and Comparing Objects
Lecture 5: Types of Variables
Lecture 6: Types of Method
Lecture 7: Inner Class
Lecture 8: Inheritance
Lecture 9: Constructor in Inheritance
Lecture 10: Introduction to Polymorphism
Lecture 11: Duck Typing
Lecture 12: Operators Overloading
Lecture 13: Method Overloading and Method Overriding
Lecture 14: Iterator
Lecture 15: Generators
Lecture 16: Exception Handling
Chapter 10: Miscellaneous
Lecture 1: MultiThreading
Lecture 2: File handling
Lecture 3: Comments
Lecture 4: IDLE Previous Command | Clear Screen?
Lecture 5: is Python Compiled or Interpreted Language?
Lecture 6: Swap 2 Variables
Lecture 7: Git | PyCharm | GitHub
Lecture 8: GitHub Code Contribution
Lecture 9: Anaconda Setup
Lecture 10: Jupyter Notebook Setup
Chapter 11: Searching
Lecture 1: Linear Search
Lecture 2: Binary Search
Chapter 12: Sorting
Lecture 1: Bubble Sort
Lecture 2: Selection Sort
Chapter 13: Database Connectivity
Lecture 1: MySQL Workbench Setup
Lecture 2: Database Connectivity (MySQL)
Chapter 14: Django
Lecture 1: 1 Django tutorials What is Django Python Web Framework
Lecture 2: 2 Django tutorials Setup
Lecture 3: 3 Django tutorials First App in Django part 1
Lecture 4: 4 Django tutorials First App Django part 2
Lecture 5: 5 Django tutorials Django Template Language DTL
Lecture 6: 6 Django tutorials Django Template Language part 2
Lecture 7: 7 Django tutorials Addition of Two Numbers in Django
Lecture 8: 8 Django tutorials GET vs POST HTTP Methods
Instructors
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Navin Reddy
Corporate Trainer & TEDx Speaker
Rating Distribution
- 1 stars: 71 votes
- 2 stars: 97 votes
- 3 stars: 789 votes
- 4 stars: 3418 votes
- 5 stars: 5053 votes
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