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Python Course
Learn Python start from Beginner
Course Features
- Duaration : 15 Weeks
- Leactures : Online / Offline
- Assignments : 3
Python Course
Syllabus
Week - 1
Introduction to Python
History, features, and why Python is popular
Installation, IDEs (PyCharm, Jupyter Notebook, VS Code)
Print statements, comments, indentation
Week - 2
Basics of Python
Integers, floats, strings, booleans, lists, tuples, dictionaries, sets
Arithmetic, comparison, logical, assignment, bitwise
Lists, tuples, dictionaries, sets, comprehensions
Week - 3
Control Structures
if, elif, else statements
for, while, break, continue, else in loops
Defining and calling functions, parameters, return values, docstrings
Week - 4
Modules and Packages
Standard library modules, third-party packages
Writing reusable code
Using pip to install packages
Week - 5
File Handling
open(), read(), write(), close()
Appending to files, handling file exceptions
os module, file paths, directory operations
Week - 6
Exception Handling
try, except, finally, raise
Defining and raising custom exceptions
Using pdb for debugging
Week - 7
Object-Oriented Programming (OOP)
Defining classes, creating objects, instance variables, methods
Base and derived classes, method overriding, super()
Duck typing, operator overloading
Week - 8
Advanced OOP
Concepts
Private and protected attributes, getters and setters
Abstract classes, interfaces
Using multiple base classes
Week - 9
Working with
Databases
SQL vs NoSQL, relational databases
Using sqlite3, mysql-connector-python
Create, Read, Update, Delete operations
Week - 10
GUI Development with Tkinter
Setting up Tkinter, creating a basic window
Labels, Buttons, Entries, Text, Frames
Pack, Grid, and Place geometry managers
Week - 11
Advanced Tkinter Concepts
Binding events, handling user inputs
Drawing shapes, handling mouse events
Creating menus and submenus, adding commands
Week - 12
Data Analysis with Pandas
DataFrames, Series, reading/writing data
Handling missing data, duplicates, data types
Grouping, merging, pivoting, reshaping
Week - 13
Data Visualization with Matplotlib and Seaborn
Creating plots, customizing plots
Subplots, histograms, scatter plots, box plots
Statistical data visualization, advanced plots
Week - 14/15
Final Project:
Project Planning
Deciding on the project scope and features
Creating a feature list and technical requirements
Breaking down the project into manageable tasks and milestones