Python Programming: Advanced Skills and Real-world Applications

Course Duration: 30 Days

Target Audience:

This course is suitable for individuals with some prior programming experience and a desire to become proficient in Python. It's ideal for students, developers, and anyone looking to master Python.

Course Objectives:

Upon completion of the course, students should be able to:

• Write and debug Python code using efficient and best practices
• Use Python data structures and algorithms to solve real-world problems
• Apply Python object-oriented programming principles to design and develop reusable and maintainable code
• Work with Python modules and packages to leverage the power of the Python ecosystem
• Develop complex Python applications using advanced features such as concurrency, networking, and databases

Course Assessment:

Each module will have its own assessment, which may include quizzes, coding exercises, projects, and a final exam. Students will be evaluated based on their performance in each module.

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Course Modules

Module 1

Introduction to Python

Quiz on basic Python concepts

Module 2

Variables and Data Types

Coding exercises on data types and variables

Module 3

Control Structures (if, else, and loops)

Implementing programs using conditional statements and loops

Module 4

Functions and Modules

Developing Python functions and using modules

Module 5

Lists and Tuples

Working with lists and tuples in Python

Module 6

Dictionaries and Sets

Hands-on exercises with dictionaries and sets

Module 7

File Handling

Implementing file operations in Python

Module 8

Exception Handling

Handling exceptions in Python code

Module 9

Object-Oriented Programming (OOP)

Creating classes and objects, and building OOP projects

Module 10

Regular Expressions

Developing regular expressions for pattern matching

Module 11

Python Libraries and Modules

Using third-party libraries and modules effectively

Module 12

Advanced Data Structures

Implementing advanced data structures

Module 13

Functional Programming in Python

Writing functional-style Python code

Module 14

Working with APIs

Interacting with web APIs using Python

Module 15

Database Connectivity

Connecting to databases and performing CRUD operations

Module 16

Web Development with Flask

Building a web application using Flask

Module 17

Data Analysis with Pandas

Analyzing and manipulating data using Pandas

Module 18

Data Visualization with Matplotlib

Creating data visualizations using Matplotlib

Module 19

Introduction to Machine Learning with Python

Building a basic machine learning model

Module 20

Web Scraping with BeautifulSoup and Requests

Extracting data from websites using web scraping techniques

Module 21

Asynchronous Programming with Asyncio

Implementing asynchronous Python code using Asyncio

Module 22

Testing and Debugging in Python

Writing unit tests and debugging Python code

Module 23

Deployment and Containers with Docker

Creating Docker containers for Python applications

Module 24

RESTful API Development with Flask-RESTful

Building RESTful APIs using Flask-RESTful

Module 25

Web Frameworks with Django

Creating a web application with Django

Module 26

Data Science and Machine Learning Libraries (NumPy, SciPy, scikit-learn)

Applying data science and machine learning techniques using Python libraries

Module 27

Big Data Processing with PySpark

Analyzing big data using PySpark

Module 28

Developing a Python Package

Creating and packaging a Python library

Module 29

Security and Best Practices

Implementing security measures and best practices in Python

Module 30

Final Project

Developing a complex real-world Python project, including documentation and presentation

Python Programming: Advanced Skills and Real-world Applications

Python Programming: Advanced Skills and Real-world Applications

Course Duration: 30 Days

Target Audience:

Course Objectives:

Course Assessment:

Quick Inquiry

Quick Contact

Course Modules

Module 1

Introduction to Python

Module 2

Variables and Data Types

Module 3

Control Structures (if, else, and loops)

Module 4

Functions and Modules

Module 5

Lists and Tuples

Module 6

Dictionaries and Sets

Module 7

File Handling

Module 8

Exception Handling

Module 9

Object-Oriented Programming (OOP)

Module 10

Regular Expressions

Module 11

Python Libraries and Modules

Module 12

Advanced Data Structures

Module 13

Functional Programming in Python

Module 14

Working with APIs

Module 15

Database Connectivity

Module 16

Web Development with Flask

Module 17

Data Analysis with Pandas

Module 18

Data Visualization with Matplotlib

Module 19

Introduction to Machine Learning with Python

Module 20

Web Scraping with BeautifulSoup and Requests

Module 21

Asynchronous Programming with Asyncio

Module 22

Testing and Debugging in Python

Module 23

Deployment and Containers with Docker

Module 24

RESTful API Development with Flask-RESTful

Module 25

Web Frameworks with Django

Module 26

Data Science and Machine Learning Libraries (NumPy, SciPy, scikit-learn)

Module 27

Big Data Processing with PySpark

Module 28

Developing a Python Package

Module 29

Security and Best Practices

Module 30

Final Project

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