Full Stack Python Developer Training & Placement

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Ameerpet Technologies Provides the Best Full Stack Python Training in Hyderabad & Online With complete JOB Assistance. Learn Full Stack Python Course From Basics to advanced and get real- time experience.

150+ Hours | Get Hired In 4 Months | 100% Placement Assurance

Full Stack Python Developer Training

About Python :

  1. Variables and Data Types:
    • Integer, Float, String, Boolean
    • Lists, Tuples, Sets, Dictionaries
    • None type
    • Type conversion (casting)


  1. Operators:
    • Arithmetic, Comparison, Logical
    • Assignment, Identity, Membership


  1. Control Structures:
    • if, elif, else statements
    • for and while loops
    • break and continue statements


  1. Functions:
    • Defining functions
    • Parameters and arguments
    • Return values
    • Lambda functions (anonymous functions)


  1. Data Structures:
    • Lists: Indexing, slicing, appending, modifying
    • Tuples: Immutable sequences
    • Sets: Unordered, unique elements
    • Dictionaries: Key-value pairs


  1. String Manipulation:
    • String methods
    • String formatting


  1. File Handling:
    • Opening, reading, writing, and closing files
    • Working with file paths


  1. Exception Handling:
    • try, except, else, finally blocks
    • Custom exceptions


  1. Object-Oriented Programming (OOP):
    • Classes and objects
    • Inheritance, encapsulation, and polymorphism
    • Constructors and destructors
    • Class attributes and instance attributes


  1. Modules and Packages:
    • Creating and importing modules
    • Using third-party packages (e.g., using pip)


  1. Standard Library:
    • Built-in modules (e.g., os, sys, math, datetime)
    • Standard library modules (e.g., random, json, csv)


  1. Input and Output:
    • Reading input from the user
    • Printing formatted output


  1. Decorators and Generators:
    • Creating and using decorators
    • Generator functions and the yield keyword


  1. Concurrency and Multithreading:
    • Threading and the Global Interpreter Lock (GIL)
    • Multiprocessing for parallel execution


  1. Regular Expressions (Regex):
    • Pattern matching and searching using regex
    • List Comprehensions and Generators:
    • Concise ways to create lists and generators


  1. Functional Programming:
    • Map, filter, and reduce functions
    • First-class functions and closures


  1. File I/O and Serialization:
    • Reading and writing binary data
    • JSON and Pickle for serialization


  1. Databases and SQL:
    • Connecting to databases (e.g., SQLite, PostgreSQL, MySQL)
    • Performing CRUD operations with SQL and Python libraries


  1. Web Development:
    • Web frameworks (e.g., Flask, Django)
    • HTTP requests with requests library
    • RESTful API development


  1. Data Analysis and Visualization:
    • Pandas for data manipulation
    • Matplotlib, Seaborn, or Plotly for data visualization


  1. Machine Learning and Data Science:
    • Libraries like NumPy, SciPy, scikit-learn
    • Jupyter notebooks for interactive data analysis


  1. Concurrency and Asynchronous Programming:
    • asyncio for asynchronous programming
    • futures for parallelism


  1. Working with APIs:
    • Consuming and creating APIs
    • REST, SOAP, GraphQL


  1. Web Scraping:
    • Beautiful Soup and Scrapy for web scraping


  1. Python Packaging:
    • Creating and distributing Python packages


  1. Deployment and Hosting:
    • Deploying Python applications to servers or cloud platforms


  1. Security:
    • Best practices for secure coding
    • Authentication and authorization

Full Stack Python is the perfect course for anyone who wants to learn how to build a web app from scratch. The course covers all the basics of web development, including setting up a development environment, creating a database, and deploying your app on a server.

Full Stack Python training is an intensive, hands-on course that will teach you the ins and outs of working with the Python programming language. You’ll learn how to write Python code, and how to use the popular Python libraries to create web applications, data visualizations, and more. This course is perfect for programmers who want to learn Python, or for experienced Python developers who want to deepen their understanding of the language.

After completing the course, you will have all the skills you need to build your own web applications. And, you’ll be able to put your new skills to use immediately by deployi

Python is a versatile language that you can use on the backend, frontend, or full stack of a web application. In our Full Stack Python Training, we’ll teach you the basics of programming in Python and how to use it in web development. You’ll learn how to:

Our Full Stack Python Training is designed for absolute beginners who want to learn how to code in Python. No prior experience is necessary.

About Django Framework:

Django is a high-level web framework that enables rapid development of secure and maintainable websites. Django includes many built-in features such as an object-relational mapper (ORM), authentication mechanisms, and a template engine.

Flask is a lightweight web framework that is perfect for developing small-scale web applications. Flask provides developers with a wide range of tools and features to make development easier and more efficient.

About Flask Micro Framework:

Requests is a popular HTTP library for Python. It provides a simple interface for making HTTP requests and accessing response data. Requests is often used in conjunction with other libraries like BeautifulSoup (for HTML parsing) and Selenium (for web automation).

Full Stack Python

₹ 19999/-

Interview Questions

  • Program runs alone.
  • Script always runs with other program
  • The concept of checking type of data at runtime.
  • Interpreted language runs the application without compilation.
  • Pass is used to define a method or class or block with empty body
  • The way of accessing multiple elements from Array or String such as Sub array or Sub String.
  • Tkinter is a pre-define module by which we can implement GUI applications.
  • Numpy, Pandas, SciPy, MatplotLib etc
  • List in index based and order collection
  • List allow duplicate values
  • Set is not index based and not an ordered collection.
  • Set not allow duplicates
  • Dictionary store elements using keys
  • Keys must be unique where as values can be duplicated
  • Accessing elements using their keys