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This course is a depth introduction to both fundamental python programming concepts and the Python programming language.

What you will learn

Getting Started,Variables,Values and Data Types, Operators and Operands, Function Calls

Write scripts for general productivity tasks Read and comprehend Python code Gain knowledge in regard to general programming concepts

Use variables to store, retrieve and calculate information

Data Types, Type Conversion, Functions, Statements and Expressions

Description

Learn Python From Beginner To Advanced Level By Demonstrations

  • The course is created thorough, extensive, but easy to follow content which you’ll easily understand and absorb.

    The course starts with the basics, including Python fundamentals, programming, and user interaction.

    The curriculum is going to be very hands-on as we walk you from start to finish to become a professional Python developer. We will start from the very beginning by teaching you Python basics and programming fundamentals, and then going into advanced topics and different career fields in Python so you can get real-life practice and be ready for the real world.

  • While it is easy for beginners to learn, it is widely used in many scientific areas for data exploration. This course is an introduction to the  Python programming language for students without prior programming experience. We cover data types, control flow, object-oriented  programming, and graphical user interface-driven applications
  • Master the fundamentals of writing Python scripts
  • Learn core Python scripting elements such as variables and flow control structures
  • Discover how to work with lists and sequence data
  • Write Python functions to facilitate code reuse
  • Use Python to read and write files
  • Make their code robust by handling errors and exceptions properly
  • Explore Python’s object-oriented features
  • Search text using regular expressions
  • The topics covered in this course are:

    * Beginner to Expert Python contents:

    Installing Anaconda

    Python Overview

    Array implementation

    File methods

    Keywords and Identifiers

    Python Tuples

    Python Basics

    Python Fundamentals

    Data Structures

    Object-Oriented Programming with Python

    Functional Programming with Python

    Lambdas

    Decorators

    Generators

    Testing in Python

    Debugging

    Error Handling

    Regular Expressions

    Comprehensions

    Modules

  • See you inside the course!

English

Language

Content
Add-On Information:
  • Course Overview

    • Embark on an exciting journey into the world of Python programming, a language renowned for its readability, versatility, and widespread adoption across diverse industries. This comprehensive course is meticulously designed for absolute beginners with no prior coding experience, offering a smooth and engaging introduction to the fundamentals of software development. You will learn to harness Python’s power to build logical solutions, automate processes, and interact with data, setting a robust foundation for any future technological pursuit, from web development to artificial intelligence.
  • Requirements / Prerequisites

    • No prior programming knowledge is needed; this course starts from the very beginning.
    • Basic computer literacy, including navigating file systems, managing applications, and using a web browser.
    • A functional computer (Windows, macOS, or Linux) with a stable internet connection for downloading software and accessing course materials.
    • An eagerness to learn, a curious mind, and a willingness to engage in problem-solving challenges.
  • Skills Covered / Tools Used

    • Fundamental Coding Logic: Develop a strong understanding of how programs execute instructions sequentially and make decisions.
    • Control Flow Management: Master conditional statements (if/else structures) and iterative constructs (for and while loops) to dictate program behavior.
    • Data Structures Introduction: Work with fundamental Python data containers like lists and dictionaries to organize and manage collections of information efficiently.
    • Input/Output Operations: Learn to accept user input and display information to the console, making your programs interactive.
    • Debugging Essentials: Acquire basic debugging techniques to identify and resolve common issues in your code, fostering independent problem-solving.
    • Code Environment Setup: Guided installation and configuration of the Python interpreter and an Integrated Development Environment (IDE) such as VS Code or PyCharm Community Edition, facilitating efficient coding practice.
    • Command Line Proficiency: Gain familiarity with running Python scripts from the command line interface, a crucial skill for developers.
  • Benefits / Outcomes

    • Foundational Programming Expertise: Establish a solid understanding of programming concepts that are transferable to other languages and advanced topics.
    • Automation Capabilities: Empower yourself to write simple scripts that automate repetitive tasks, saving time and increasing productivity in various contexts.
    • Problem-Solving Acumen: Enhance your analytical and logical thinking skills through hands-on coding challenges and practical exercises.
    • Launchpad for Advanced Fields: Prepare yourself for deeper dives into specialized areas like web development (Django/Flask), data science (Pandas/NumPy), machine learning, or cybersecurity.
    • Career Enhancement: Boost your resume with a highly sought-after skill, opening doors to entry-level programming roles and tech-adjacent positions.
    • Confidence in Coding: Build the self-assurance to tackle coding projects and continue your learning journey independently.
  • PROS

    • Designed for Absolute Beginners: Tailored content ensures a gentle learning curve with clear explanations and practical examples.
    • Hands-On Learning Experience: Emphasizes coding along and applying concepts immediately through exercises and mini-projects.
    • Comprehensive Curriculum: Covers all essential topics needed to build a strong foundational understanding of Python programming.
    • Pathway to Further Learning: Equips students with the necessary skills and mindset to confidently pursue more advanced programming domains.
    • Practical Skill Development: Focuses on applicable knowledge that can be immediately used to solve real-world problems.
  • CONS

    • While comprehensive for beginners, this course does not delve into highly specialized or advanced Python libraries, requiring further study for niche applications.

Introduction

Introduction Tutorial 1-Installing Anaconda

Tutorial 2-Python Overview(Demonstration)

Tutorial 3-Python Variables And Constants

Tutorial 4-Python Class And Objects

Tutorial 5-Python Array Implementation

Tutorial 6-Python Keywords And Identifiers

Tutorial 7-Python Tuples

Tutorial 8-Python sets

Tutorial 9-Python Different Modules

Tutorial 10-Python Directory And File management

Tutorial 11-Python Dictionary

Tutorial 12-Python Strings

Tutorial 13-Python Data Type Conversion

Tutorial 14-Python Numbers

Tutorial 15-Python Namespace and scope

Tutorial 16-Python global local nonlocal

Tutorial 17-Python Global Keywords

Tutorial 18-Python Iterators

Tutorial 19-Python Iterations Using for

Tutorial 20-Python Inheritance


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Tutorial 21-Python Multiple Inheritance

Tutorial 22-Python Function Arguments

Tutorial 23-Python Functions.

Tutorial 24-Python break statement

Tutorial 25-Python continue statement

Tutorial 26-Python Errors And Exceptions

Tutorial 27-Python Try, Except And Finally

Tutorial 28-Python User Defined Exception

Tutorial 29-Python OOP Approach

Tutorial 30-Python Nested Dictionary Implementation

Tutorial 31-Python Operator Overloading

Tutorial 32-Python Statements And Comments

Tutorial 33-Python Pass Statement

Tutorial 34-Python Generators

Tutorial 35-Python Decorators

Tutorial 36-Python While Loop

Tutorial 37-Python use of If,elif,else

Tutorial 38-Python Matrix Implementation

Tutorial 39-Python Regular Expressions

Tutorial 40-Python List Comprehension

Tutorial 41-Python Recursion.

Tutorial 42-Python Input, Output And Import

Tutorial 43-Python Shallow And Deep Copy

Tutorial 44-Python Lamda Function

Tutorial 45-Python Assert

Tutorial 46-Python @property.

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