Python Programming - Techfellah Technology Research Center

About Course

A Python Programming course is a comprehensive learning program focused on teaching individuals the Python programming language. Python is a versatile, high-level programming language known for its simplicity, readability, and wide range of applications. The course typically covers the fundamental concepts of Python, such as variables, data types, loops, conditional statements, functions, and object-oriented programming.

Participants in the course will learn how to write Python code, solve problems, and build practical applications. As they progress, they may delve into more advanced topics like file handling, libraries, web development, data analysis, and automation.

The Python Programming course is suitable for beginners with little to no programming experience, as well as experienced programmers looking to expand their skill set. Python’s popularity in various fields, such as web development, data science, artificial intelligence, and automation, makes it a valuable language to learn for those seeking to pursue a career in software development or related fields.

Course Content

Introduction to Python

Overview of Python and its features
Installing Python and setting up the development environment
Running Python scripts and understanding the Python interactive shell

Python Basics – Part 1

Python Basics – Part 2

Object-Oriented Programming in Python

File Handling and Modules

Error Handling and Exceptions

Functional Programming in Python

Working with Libraries and Modules

Python and Web Development

Introduction to Data Science with Python

Advanced Topics – Part 1

Advanced Topics – Part 2

Introduction to Machine Learning with Python

Machine Learning – Part 2

Data Science Project

About Course

What Will You Learn?

Course Content

Introduction to Python

Overview of Python and its features

Installing Python and setting up the development environment

Running Python scripts and understanding the Python interactive shell

Python Basics – Part 1

Variables, data types, and basic operations

Control flow statements: if, else, and loops (while, for)

Writing and executing simple Python programs

Python Basics – Part 2

Functions and function parameters

Working with lists, tuples, and dictionaries

String manipulation and formatting

Object-Oriented Programming in Python

Introduction to Object-Oriented Programming (OOP)

Creating classes and objects in Python

Understanding inheritance, encapsulation, and polymorphism

File Handling and Modules

Reading and writing files in Python

Creating and using modules in Python

Organizing code with modules and packages

Error Handling and Exceptions

Understanding exceptions and error handling in Python

Handling exceptions with try, except, and finally blocks

Custom exception classes and raising exceptions

Functional Programming in Python

Working with lambda functions and higher-order functions

Map, filter, and reduce functions

Using list comprehensions in Python

Working with Libraries and Modules

Overview of commonly used Python libraries (NumPy, Pandas, etc.)

Installing and using external libraries in Python

Exploring the functionality of popular Python libraries

Python and Web Development

Overview of web development with Python

Introduction to Flask or Django web frameworks

Building a simple web application with Python

Introduction to Data Science with Python

Understanding data science and its applications

Data analysis and manipulation with Pandas

Data visualization with Matplotlib and Seaborn

Advanced Topics – Part 1

Working with databases in Python (e.g., SQLite, MySQL, or PostgreSQL)

Introduction to multithreading and multiprocessing

Handling concurrent tasks in Python

Advanced Topics – Part 2

Introduction to web scraping with Python

Scraping data from websites using BeautifulSoup and Requests

Handling APIs and making API requests in Python

Introduction to Machine Learning with Python

Overview of machine learning and its applications

Introduction to scikit-learn for machine learning in Python

Supervised and unsupervised learning algorithms

Machine Learning – Part 2

Model evaluation and selection techniques

Feature engineering and data preprocessing for machine learning

Implementing machine learning models in Python

Data Science Project

Participants work on an individual or group data science project to apply Python concepts learned throughout the course

Projects should involve data analysis, visualization, and machine learning techniques