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Python Programming

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Python Programming

This comprehensive Python programming course is designed for beginners and professionals looking to enhance their coding skills. The course covers fundamental and advanced Python concepts, equipping learners with the knowledge needed for data analysis, web development, automation, and machine learning.


  • Quick Skill Development

  • Flexible Learning Options

  • Industry-Relevant Curriculum

  • Affordable and Cost-Effective

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Who Should Take the Python Programming Course

The Python Programming Course at Al Mihad is designed for individuals seeking to develop strong coding skills and apply Python in various fields such as software development, data science, automation, and artificial intelligence.

  • Beginners & Aspiring Programmers – Learn Python from scratch with easy-to-follow lessons and practical coding exercises.
  • Students & Fresh Graduates – Build a strong programming foundation to pursue careers in software development, AI, and data science.
  • IT Professionals & Software Developers – Enhance coding skills for web development, automation, and backend programming.
  • Data Analysts & Scientists – Utilize Python for data manipulation, visualization, and predictive analytics.
  • Engineers & Researchers – Apply Python for simulations, computations, and research-based projects..

Python Programming Course Highlights

The course will cover the following key topics:

  • Comprehensive Learning – Covers Python basics to advanced concepts, including data structures, OOP, and automation.
  • Hands-On Training – Practical exercises, coding challenges, and real-world projects to reinforce learning.
  • Web & Software Development – Learn frameworks like Django and Flask for web application development.
  • Data Science & Analytics – Use Python for data visualization, machine learning, and statistical analysis.

Syllabus

Syllabus for Data Analytics Course Al mihad Training

Programming Foundation Concepts

Basic Terminology, Data Types and Variables, Operators and Expressions, Control Structures, Functions and Procedures, Recursion, Basic Algorithms.

Object-Oriented Concepts

Classes and Objects, Inheritance, Polymorphism, Encapsulation, Abstraction, Method Overriding, Constructor and Destructor.


Getting Started with Python

History of Python, Python Features, Python 2 vs Python 3, Installing Python, Running Python Scripts, Python Syntax and Semantics, Python Development Environments.

Python Installation and Setup

Python 3.X Installation Guide, Introduction to Anaconda Python, IDEs: Jupyter Notebook, PyCharm, and VS Code, Setting Up Virtual Environments, Package Management with pip and conda.

Python Built-in Objects:

Numbers (int, float, complex), Strings, Lists, Tuples, Sets, Dictionaries, Type Conversion.

Control Flow in Python

Conditional Statements (if, elif, else), Looping Statements (for, while), Nested Loops, Loop Control Statements (break, continue, pass), Comprehensions (List, Dict, Set), Conditional Expressions.

Functions in Python:

User Defined Functions, Lambda Functions, Function Arguments (default, keyword, arbitrary), Return Statement, Recursion, Built-in Functions, Higher-Order Functions.

String Handling in Python

String Creation and Operations, String Methods, String Formatting, Regular Expressions, String Slicing, Escape Characters, Unicode Strings

Data Structures in Python:

List Operations and Methods, Dictionary Operations and Methods, Set Operations and Methods, Tuple Operations and Methods, Working with Stacks and Queues, Comprehensions, Collections Module.

File Handling in Python

Reading and Writing Files, File Methods, File Modes, Handling Binary Files, Working with CSV Files, Context Managers, File Path Operations.

Python Libraries and Modules

Standard Library Overview, Commonly Used Libraries (os, sys, math, datetime), Importing Modules, Creating User Defined Modules, User Defined Packages, Working with init.py, Packaging and Distribution (whl Packaging).

Advanced Python Concepts

Object Oriented Python, Exception Handling, Debugging Techniques, Iterators and Generators, Decorators, Context Managers, Metaprogramming.

Database Interface with Python:

Introduction to Databases, SQLite in Python, CRUD Operations, Connecting to Sqlite, Database Connection Pooling, Handling Transactions.

Working with Data Formats:

Introduction to JSON Data, Parsing JSON, Creating JSON, Working with XML, Using CSV Module, pickle Module for Serialization, YAML Format

Web Programming with Python:

Requests Module, Web Scraping with BeautifulSoup, Using Scrapy for Advanced Scraping, Working with APIs.

Numerical Computation with Numpy

Introduction to Numpy, Numpy Arrays, Array Indexing and Slicing, Array Operations, Broadcasting, Numpy Functions, Working with Matrices.

Data Manipulation with Pandas

Introduction to Pandas, Series and DataFrame, Reading and Writing Data, Data Cleaning, Data Transformation, Merging and Joining, Data Aggregation.

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Questions & Answers

Find answers to all your queries about our service.

  • Who can enroll in the Python Programming course?

    This course is suitable for beginners, students, and professionals who want to learn Python for software development, data science, automation, or web development. No prior programming experience is required.

  • What topics are covered in the Python Programming course?

    The course covers Python fundamentals, data types, loops, functions, object-oriented programming (OOP), file handling, libraries like NumPy and Pandas, and real-world projects.

  • Is Python useful for career opportunities?

    Yes, Python is widely used in web development, data science, artificial intelligence, machine learning, automation, and cybersecurity. Learning Python can open doors to various career opportunities.

  • Will I get hands-on practice with coding projects?

    Yes, the course includes practical coding exercises, mini-projects, and real-world applications to ensure hands-on learning and skill development.

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