Python Skill Up
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This course is designed to provide learners with a strong foundation in Python programming. It covers essential programming concepts including variables, loops, conditionals, functions, data structures, OOP, standard libraries, file handling, GUI programming, databases, and project development. This course is ideal for beginners, students, and professionals looking to start their programming journey with Python.
Serious & committed learners can still earn up to 90% of their course fee back by taking the Three 90 Challenge.
Course Overview
This 4-week intensive Python course walks learners through basic to advanced Python concepts. With a blend of theory, quizzes, and hands-on practice, learners build problem-solving skills, understand how Python works under the hood, and apply their learning in projects.
Course Highlights
- Learn Python from scratch in a structured format
- Master control flow, functions, recursion, and comprehensions
- Dive into data structures, OOP, file handling, and exceptions
- Work with databases like MySQL and MongoDB using Python
- Use built-in modules like math, datetime, os, heapq, and functools
- Understand APIs, JSON, CSV, and Excel file handling
- Build desktop GUI apps with tkinter
- Work on mini-projects and capstone tasks
Course Content
- Introduction of Python & Setup
- Input/Output, Variables, Keywords
- Python Data Types and Operators
- Conditional Statements and Control Flow
- Loops (for, while, nested)
- Functions (def, return, *args, **kwargs, lambda, recursion)
- Strings, Lists, Tuples, Dictionaries, Sets
- List Comprehensions
- Python Collections Module (Counter, OrderedDict, defaultdict, deque)
- Exception Handling (try, except, built-in & user-defined exceptions)
- File Handling: Reading, Writing, File Modes
- OS and pathlib Module for Directory Management
- OOP Concepts: Classes, Objects, Encapsulation, Inheritance, Polymorphism
- Abstract Classes and Iterators
- Python Projects (Tic Tac Toe, Number Guessing Game)
- Working with MySQL in Python
- Introduction to MongoDB with Python
- Built-in Python Libraries: math, random, datetime, os, sys, platform
- Python DSA Libraries: heapq, bisect, array, collections, functools
- GUI Programming with tkinter
- Working with CSV (csv) and Excel files (openpyxl)
- Reading and Writing JSON Data
- Using APIs with Python (requests, API response handling)
- Iterators and Generators, yield keyword
- Advanced Comprehensions (List, Dict, Set) and Generator Expressions
- Context Managers and with statement
- Creating and Importing Python Modules
- Packaging with pip and virtualenv
- Mini Projects (e.g., Weather Notifier, Hangman Game)
Pricing
