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Python Programming Hands-on

  • Development
  • May 14, 2025
SynopsisPython Programming Hands-on, available at $19.99, has an aver...
Python Programming Hands-on  No.1

Python Programming Hands-on, available at $19.99, has an average rating of 4.1, with 40 lectures, based on 15 reviews, and has 141 subscribers.

You will learn about Simple way to learn Python Programming and able to setup own environment and practise Able to learn installation, datatypes, Strings, Lists, Tuple, Dictionary, Sets, Functions, *Args, **Args, Reading & writing Files. Able to use python programming on Pycharm editor and able to debug and use pdp Able to write programs on OS module to list the files and folders in OS, able to create directories in Python Able to understand OOPs concepts like class, create objects, inheritance, Super keyword, Polymorphism, Access specifiers and Exception Handling Able to do Database operations on Python like connectivity with MySQL database, creating database, creating tables, inserting and fetching data into tables This course is ideal for individuals who are All Engineering students also AI and Machine learning and future technology developers It is particularly useful for All Engineering students also AI and Machine learning and future technology developers.

Enroll now: Python Programming Hands-on

Summary

Title: Python Programming Hands-on

Price: $19.99

Average Rating: 4.1

Number of Lectures: 40

Number of Published Lectures: 40

Number of Curriculum Items: 40

Number of Published Curriculum Objects: 40

Original Price: ?799

Quality Status: approved

Status: Live

What You Will Learn

  • Simple way to learn Python Programming and able to setup own environment and practise
  • Able to learn installation, datatypes, Strings, Lists, Tuple, Dictionary, Sets, Functions, *Args, **Args, Reading & writing Files.
  • Able to use python programming on Pycharm editor and able to debug and use pdp
  • Able to write programs on OS module to list the files and folders in OS, able to create directories in Python
  • Able to understand OOPs concepts like class, create objects, inheritance, Super keyword, Polymorphism, Access specifiers and Exception Handling
  • Able to do Database operations on Python like connectivity with MySQL database, creating database, creating tables, inserting and fetching data into tables
  • Who Should Attend

  • All Engineering students also AI and Machine learning and future technology developers
  • Target Audiences

  • All Engineering students also AI and Machine learning and future technology developers
  • Python is a present language for trending technologies, such as Artificial Intelligence, Machine Learning, Block chain technology, and many applications related to Robotics.

    I explained this course in a simple manner, with hands-on programming. Initially, I discussed installation, and then Basic concepts of Python programming.

    In this course, I worked with datatypes such as Strings, Lists, Tuple, Dictionaries, Sets, and Frozen Sets.

    Also discussed Copy concepts in Python such as Shallow copy and Deep copy with examples.

    In this course, I have given detailed explanations as well as example programs on Functions, and parameters such as  *args, and **args.

    Also, some example programs on File in different modes like read mode, write mode, and append mode.

    And also I showed some examples using Pycharm software.

    In this, I describe the OS module examples such as creating directories and files, listing files in folders, Showing the current working directory, changing the directory, etc.

    I have given a detailed explanation of the OOPs module, covering all OOPs concepts with examples of classes, constructors, inheritance, polymorphism,  Super keyword, Access specifiers, and exception-handling programs.

    Finally, I showed information related to Database connectivity with Python. I explained the installation steps for MySQL connector, connecting the MySQL server. Also covered are examples for creating a database, creating a Table, inserting data into a table, and fetching the data from a table.

    Overall, I have given a simple and clear explanation of hands-on programming for Python covering most of the topics in Python Programming.

    Course Curriculum

    Chapter 1: Introduction and Installation

    Lecture 1: Introduction and Course Content

    Lecture 2: Installation of Python and creating Hello world program and execution steps

    Chapter 2: Basics of Python Programming

    Lecture 1: Basic python concepts

    Chapter 3: Datatypes in Python

    Lecture 1: Datatypes in Python

    Chapter 4: Strings

    Lecture 1: Slicing

    Lecture 2: Splitting

    Lecture 3: Concatenation and Format

    Lecture 4: Escape Charector

    Lecture 5: String Methods

    Lecture 6: For Loop

    Chapter 5: Lists

    Lecture 1: List fundamentals

    Lecture 2: List conversion from String

    Chapter 6: Tuple

    Lecture 1: tuple to List and List to Tuple conversion

    Lecture 2: Tuple -> List & List -> Tuple with Format method

    Chapter 7: Dictionaries

    Lecture 1: Introduction to Dictionaries – Create and pass values in dictionaries

    Lecture 2: Properties of Dictionaries & Count in Dictionary

    Lecture 3: Iterations of Letter in Sentence

    Lecture 4: Iteration of word in Sentence

    Chapter 8: Sets

    Lecture 1: Introduction to Sets

    Lecture 2: Operations on Sets

    Lecture 3: Frozen Sets

    Chapter 9: Shallow copy vs Deep COpy

    Lecture 1: Shallow copy vs Deep Copy

    Chapter 10: Functions in Python

    Lecture 1: Functions

    Chapter 11: Files

    Lecture 1: Creating, open, read mode of files

    Lecture 2: File Write mode

    Chapter 12: Pycharm Editor installation

    Lecture 1: Pycharm installation

    Chapter 13: PDB

    Lecture 1: Pdb

    Chapter 14: OS module

    Lecture 1: OS modules fundamenta

    Lecture 2: OS module_practical

    Chapter 15: OOPs in Python

    Lecture 1: Class declaration and Objection creation

    Lecture 2: Constructor

    Lecture 3: Constructor hands-on

    Lecture 4: Inheritance

    Lecture 5: Super Keyword

    Lecture 6: Polymorphism

    Lecture 7: Access specifiers

    Lecture 8: Exception Handling

    Chapter 16: Database in Python

    Lecture 1: Introduction to Database with Python

    Lecture 2: Installation mysql connector with Python

    Lecture 3: Database programs for connecting Mysql server, creating Database, creating table

    Instructors

  • Python Programming Hands-on  No.2
    Surender Reddy Theleru
    Developer
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