What will you in Python for Beginners Course
- Install Python, set up your development environment (IDEs, virtual environments)
- Work with Python basics: variables, data types, control flow (if, loops), and functions
- Manipulate collections: lists, tuples, dictionaries, and sets with comprehension techniques
- Read/write files, handle exceptions, and use modules/packages for code organization
- Explore object-oriented programming: classes, inheritance, and special methods
Program Overview
Module 1: Setup & Python Fundamentals
⏳ 45 minutes
Installing Python, configuring IDEs (VS Code/PyCharm), and using
venv
Hello World, basic arithmetic, variables, and data types
Module 2: Control Flow & Functions
⏳ 1 hour
if
statements,for
andwhile
loops, andbreak
/continue
Defining and calling functions, scope, default/keyword arguments
Module 3: Collections & Comprehensions
⏳ 1 hour
Working with lists, tuples, dictionaries, and sets
List/dict/set comprehensions and generator expressions
Module 4: File I/O & Error Handling
⏳ 45 minutes
Opening, reading, and writing text/binary files
try
/except
blocks,finally
, and custom exception classes
Module 5: Modules, Packages & Virtual Environments
⏳ 45 minutes
Structuring code into modules and packages
Installing and managing dependencies with
pip
andrequirements.txt
Module 6: Object-Oriented Python
⏳ 1 hour
Defining classes, attributes, methods, and
__init__
Inheritance, method overriding, and using
super()
Module 7: Working with Standard Libraries
⏳ 45 minutes
Using built-ins:
datetime
,collections
,os
, andjson
Introduction to popular third-party libraries (e.g., Requests, Pandas overview)
Module 8: Capstone Project & Next Steps
⏳ 45 minutes
Building a small CLI tool or data-processing script
Resources for advanced learning: web frameworks, data science, and testing
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Job Outlook
- Python skills open doors to roles like Junior Python Developer, QA Automation Engineer, and Data Analyst
- Widely used in web development (Django/Flask), automation, scripting, and data science
- Strong foundation for progressing to libraries and frameworks: Flask, Django, Pandas, and Selenium
- High demand across industries for rapid prototyping, API development, and tooling
Specification: Python for Beginners
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