Full Stack Python Developer Training & Placement

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Full Stack Python Developer Training

About Python :

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

Operators:
- Arithmetic, Comparison, Logical
- Assignment, Identity, Membership

Control Structures:
- if, elif, else statements
- for and while loops
- break and continue statements

Functions:
- Defining functions
- Parameters and arguments
- Return values
- Lambda functions (anonymous functions)

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

String Manipulation:
- String methods
- String formatting

File Handling:
- Opening, reading, writing, and closing files
- Working with file paths

Exception Handling:
- try, except, else, finally blocks
- Custom exceptions

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

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

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

Input and Output:
- Reading input from the user
- Printing formatted output

Decorators and Generators:
- Creating and using decorators
- Generator functions and the yield keyword

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

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

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

File I/O and Serialization:
- Reading and writing binary data
- JSON and Pickle for serialization

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

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

Data Analysis and Visualization:
- Pandas for data manipulation
- Matplotlib, Seaborn, or Plotly for data visualization

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

Concurrency and Asynchronous Programming:
- asyncio for asynchronous programming
- futures for parallelism

Working with APIs:
- Consuming and creating APIs
- REST, SOAP, GraphQL

Web Scraping:
- Beautiful Soup and Scrapy for web scraping

Python Packaging:
- Creating and distributing Python packages

Deployment and Hosting:
- Deploying Python applications to servers or cloud platforms

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:

Install and set up a local development environment
Install and set up a local development environment
Install and set up a local development environment
Use Python to create dynamic content for the frontend of a web application
Deploy a Python web application to a server

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).