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Master Python: From Basics to Advanced Applications
Rating: 4.3 out of 5(6 ratings)
221 students

Master Python: From Basics to Advanced Applications

تعلم بايثون بالتفصيل وأبدأ رحلتك في مجال تحليل البيانات وعلم البيانات
Last updated 1/2025
Arabic
Arabic [Auto],

What you'll learn

  • Python Basics
  • Control Flow and Logic
  • Functions and Error Handling
  • Advanced Python Topics

Course content

8 sections • 139 lectures • 19h 6m total length
  • Number System4:36
  • Units6:27
  • Binary & Decimal System14:45
  • Understanding CPU and Memory9:10
  • Different Language (High level - Low level)6:15
  • Compiler and Interpreter3:39
  • Print Statement8:53
  • Comment and Escape Character4:20
  • Variable - part-13:22
  • Variable - part211:37
  • Data type16:59
  • Operations11:49
  • String6:22
  • String concatenation1:30
  • Indexing & Slicing14:19
  • String Operation15:49
  • String Methods5:49
  • input function and string format10:34

Requirements

  • Some programming experience
  • Be able to use a computer with internet access
  • Passion to learn, discuss and explore

Description

Course: “Master Python: From Basics to Advanced Applications”

Welcome to your comprehensive guide to Python programming! Whether you're a complete beginner or

someone looking to strengthen your coding skills, this course is designed to take you step-by-step

through Python, from the basics to advanced concepts.

With over 40 detailed Jupiter notebooks, interactive explanation videos, and hands-on projects, you'll not

only learn the "how" of Python but also the "why" behind it. This course is your one-stop shop to master

Python for real-world applications.


By the end of this course, you'll gain a deep understanding of:


1. Python Basics

-Setting up Python and writing your first code.

-Mastering variables, data types, and operations.

-Understanding and using strings, lists, tuples, sets, and dictionaries e ectively.

-Performing basic to advanced calculations using Python.


2. Control Flow and Logic

-Implementing decision-making using if, else, and elif statements.

-Creating loops (for and while) and managing nested loops.

-Tackling real-world challenges with control flow through projects like:

-A Simple Calculator.

-Rock-Paper-Scissors game with user interaction.


3. Functions and Error Handling

-Defining and using functions e ectively.

-Mastering functional programming concepts.

-Handling errors gracefully using Python's built-in exception handling.


4. Advanced Python Topics

-Working with files to read, write, and manipulate data.

-Introduction to object-oriented programming (OOP) and its pillars: encapsulation, inheritance,

and polymorphism.


5. Data Analysis and Visualization

-Using NumPy for numerical computations, array manipulation, and mathematical operations.

-Leveraging Pandas for data indexing, selection, cleaning, and aggregation.

-Combining, merging, and grouping data for analysis.


Goals of the Course

1. Solid Foundation: Gain confidence in programming using Python with structured lessons and

examples.

2. Problem-Solving: Apply Python to solve real-world challenges and build useful projects.

3. Advanced Skills: Transition from basic scripting to understanding and using advanced Python

concepts for data science, software development, or automation.

4. Hands-on Practice: Work through exercises, solutions, and projects to reinforce your learning.


Why This Course?

This course is perfect for students and hobbyists who:

-want a practical approach to learning Python programming.

-Need structured guidance to master Python step-by-step.

-Are aiming for careers in data science, software development, or IT automation.

Who this course is for:

  • Beginner Python developers curious about data science
  • Working professionals with no prior experience in data sci
  • College graduates pursuing Master's or Ph.d in Machine Learning /Data Science
  • Developers looking forward to build a career in data science