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Python Programming

Learn Python with our comprehensive and user-friendly course!

Basic to Advanced Course

Intuitive & Practical Learning

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Introduction to Python

Overview of Python, installation, and running Python code effectively.

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What is Python?

+11 XP
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Running Python code.

+3 XP
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Basic syntax and conventions

+8 XP
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Interpreted vs Dynamic typing

+10 XP

Basic Data Types and Variables

Understanding numbers, strings, booleans, and creating variables

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Strings

+14 XP
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Numbers (int, float)

+9 XP
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Booleans

+9 XP

Operators and Expressions

Perform mathematical, comparison, and logical operations in Python programs.

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Assignment operators

+19 XP
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Operator precedence

+10 XP

Control Flow

Direct program flow using conditionals and loops (if, for, while).

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Loops(for, while)

+9 XP

Functions

Create reusable code blocks with parameters and return values.

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Default parameters

+8 XP
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Keyword arguments (kwargs)

+10 XP
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Lambda functions

+10 XP

Data Structures

Store and manipulate collections using lists, tuples, dictionaries, and sets.

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Lists

+10 XP
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Tuples

+11 XP
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Dictionaries

+9 XP
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Sets

+9 XP

String Manipulation

Work with strings, modify them, and format for output.

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String slicing and indexing

+10 XP
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String formatting

+10 XP

File Handling

Open, read, write, and manage files within Python programs.

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Opening and closing files

+10 XP
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Working with file paths

+10 XP

Error Handling and Exceptions

Handle runtime errors gracefully using try, except, and custom exceptions.

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try, except, finally blocks

+10 XP

Modules and Packages

Organize and reuse code by importing libraries and creating modules.

Object-Oriented Programming (OOP)

Define and use classes, objects, inheritance, and encapsulation principles.

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Classes and objects

+9 XP
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Defining a class

+7 XP
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__init__ method (constructor)

+9 XP
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Special methods

+9 XP

Iterators and Generators

Create iterable objects and generate values lazily using yield.

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Generator expressions

+13 XP

Decorators

Enhance functions with reusable wrappers and custom decorators.

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Understanding decorators

+10 XP
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Built-in decorators

+10 XP
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Writing custom decorators

+9 XP

Comprehensions

Create lists, dictionaries, and sets efficiently using concise expressions.

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List comprehensions

+9 XP
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Dictionary comprehensions

+9 XP
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Set comprehensions

+13 XP

Working with Libraries

Use powerful libraries like NumPy, Pandas, and Matplotlib for data processing.

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NumPy: Basic array operations

+18 XP
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Pandas: Data manipulation

+12 XP
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Matplotlib: Plotting graphs

+10 XP

Advanced Topics

Explore multithreading, async programming with Python.

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100 XP
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676 XP
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0 XP
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