Basic Python Training

Python programming is highly useful for designing and developing a website, to say the least it has been even adopted by non-programmers such as accountants and scientists to organize finances and everyday tasks. It has beginner friendly syntaxes and applicable to those also who don’t have previous programming experiences. To have rewarding careers as data scientist, machine learning engineers, business analysts the knowledge of python programming is very helpful.

What is Python used for?

 Python is used for developing websites, software, data analysis and data visualization. Python programming or any other programming language helps to grow our problem-solving skill.

Some uses of python programming include:

• Data analysis and machine learning
• Web development
• Automation or scripting
• Software testing and prototyping
• Everyday tasks

Why is Python so popular?

Python is popular for many reasons, some of the reasons includes:

• Python is relatively easy to learn than other languages.
• It is open source which means it free to use and distribute.
• Large community

General Python programming courses Includes:

Introduction to Python Programming:

The topics covered in introduction section are:

• Overview of Python and its features
• Installing Python and setting up the development environment
• Running Python programs using the interpreter and scripts
• Basic syntax and data types (numbers, strings, lists, tuples, dictionaries)

Control Flow and Functions

Topics on control flow and its functions and scopes:

• Conditional statements (if, else, elif)
• Looping structures (for and while loops)
• Writing functions and using parameters
• Scope and variable visibility

Data Structures and File Handling

Topics covered in data structures and handling error and exceptions are:

• Working with lists and manipulating data
• Using tuples and dictionaries for structured data
• Reading from and writing to files
• Handling exceptions and error handling

Object-Oriented Programming (OOP)

Topics covered in OOP areas for Python programming are:

• Introduction to OOP concepts (classes, objects, attributes, methods)
• Creating and using classes
• Inheritance and polymorphism
• Advanced OOP topics (encapsulation, abstraction)

Modules and Packages

Topics for creating modules and third party packages in python programming are:

• Understanding modules and importing functionality
• Creating and using modules
• Exploring the Python Standard Library
• Introduction to third-party packages and installation using pip

Working with Libraries and APIs

Topics for Python libraries and application programming interface in python:

• Introduction to popular Python libraries (e.g., NumPy, Pandas, Matplotlib)
• Using libraries for data manipulation, analysis, and visualization
• Interacting with web APIs and retrieving data

Debugging and Testing

Topics for test driven development and debugging in python programming:

• Debugging techniques and common errors
• Using print statements and debugging tools
• Writing unit tests with the unit test module
• Test-driven development (TDD) principles

Introduction to Web Development (optional)

Topics on concepts of web development using Python frameworks are:

• Overview of web development concepts
• Introduction to HTML, CSS, and JavaScript
• Building simple web applications using a Python web framework (e.g., Flask, Django)

Advanced Topics (optional)

Topics of advanced python using machine learning and data science concepts:

• Working with databases (SQL and NoSQL)
• Concurrency and asynchronous programming
• Data scraping and web automation
• Introduction to machine learning and data science libraries

Some of the python programming course topics which have been already established are

• Python for everybody by University of Michigan
• Python Crash Course Eric Matthews
• Python for Data Science and Machine learning bootcamp by Josie Portilla
• Django for beginners
• Python advanced topic.