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Getting Started With Python

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Dr. Umesh Dutta,Ina Singh

7:37:57

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  • 1. Course Overview.mp4
    03:12
  • 2.1 INTRODUCTION.pptx
  • 2. Python Introduction.mp4
    04:02
  • 3. Downloading Python.mp4
    01:40
  • 4. VS Code Download.mp4
    02:01
  • 5.1 first.zip
  • 5. Getting Started.mp4
    02:48
  • 6. Anaconda Introduction.mp4
    03:37
  • 7. Working with Jupyter Notebook.mp4
    04:24
  • 8.1 second.zip
  • 8. Taking User Input.mp4
    04:02
  • 9.1 third.zip
  • 9. Typecasting.mp4
    09:17
  • 10.1 Compiler Interpreter.pptx
  • 10. Compiler & Interpreter.mp4
    03:02
  • 11. Quiz on Python Basics.html
  • 1. if else.mp4
    07:01
  • 2. for loop.mp4
    06:52
  • 3. while loop.mp4
    06:12
  • 4. F String Demo.mp4
    08:20
  • 1.1 BMI.pptx
  • 1. BMI Introduction.mp4
    05:27
  • 2.1 bmi.zip
  • 2. BMI Coding Part.mp4
    09:08
  • 1. Sum of digits-Logic Part.mp4
    08:24
  • 2.1 sumdigits.zip
  • 2. Sum of Digits- Coding Part.mp4
    04:06
  • 1. Reversing a Number-Concept Part.mp4
    05:43
  • 2.1 reverse.zip
  • 2. Reversing a Number-Coding Part.mp4
    04:33
  • 1. Factorial - Logical Part.mp4
    08:03
  • 2.1 factorial.zip
  • 2. Factorial - Coding Part.mp4
    04:57
  • 1.1 Lists.pptx
  • 1. List Introduction.mp4
    03:46
  • 2.1 listdemo.zip
  • 2. List-Demo.mp4
    04:44
  • 3.1 elementcount.zip
  • 3. List-Element Count.mp4
    03:44
  • 4.1 listindex.zip
  • 4. List Indexing.mp4
    04:20
  • 5.1 listoperations.zip
  • 5. List Operation.mp4
    07:53
  • 6.1 listsorting.zip
  • 6. List Sorting.mp4
    04:54
  • 7.1 Dictionary.pptx
  • 7. Dictionary Introduction.mp4
    03:13
  • 8.1 dictionary.zip
  • 8. Dictionary Demo.mp4
    08:53
  • 9.1 Tuple.pptx
  • 9. Tuple Intro.mp4
    03:55
  • 10.1 tuple.zip
  • 10. Tuple Demo.mp4
    05:23
  • 11.1 Set.pptx
  • 11. Set Introduction.mp4
    03:23
  • 12.1 set.zip
  • 12. Set Demo.mp4
    05:51
  • 13. Quiz on List.html
  • 1.1 function1.zip
  • 1. Function - Part 1.mp4
    03:33
  • 2.1 function2.zip
  • 2. Function - Part 2.mp4
    03:38
  • 3. Function - Part 3.mp4
    02:15
  • 4.1 function3.zip
  • 4. Function - Part 4.mp4
    04:50
  • 5.1 local vs global.pptx
  • 5. Local Vs Global Variable.mp4
    04:27
  • 6. Lambda Function.mp4
    02:02
  • 7. Lambda Function Coding Part.mp4
    01:27
  • 8. Quiz on Function.html
  • 1.1 regex.zip
  • 1. Regex.mp4
    04:22
  • 2.1 date and time.zip
  • 2. DateTime.mp4
    02:06
  • 3.1 intro.zip
  • 3. Turtle Introduction.mp4
    04:33
  • 4.1 square.zip
  • 4. Drawing Square Shape.mp4
    05:00
  • 5.1 circle.zip
  • 5. Drawing Circle.mp4
    03:37
  • 6. Drawing Triangle Concept.mp4
    01:47
  • 7.1 triangle.zip
  • 7. Drawing Triangle Code.mp4
    01:40
  • 8.1 star.zip
  • 8. Drawing Star.mp4
    05:01
  • 9. Drawing Spiral Concept.mp4
    02:10
  • 10.1 spiral.zip
  • 10. Drawing Spiral Code.mp4
    03:34
  • 1. Introduction to Tkinter Module.mp4
    02:24
  • 2.1 Tkinter Methods.pptx
  • 2. Geometry Managers in Tkinter.mp4
    08:41
  • 3.1 tkinter.zip
  • 3. GUI Window with Button.mp4
    05:49
  • 4. Tkinter Button Functions.mp4
    03:37
  • 5. Tkinter Messagebox.mp4
    04:13
  • 6.1 bmi.zip
  • 6. Tkinter BMI.mp4
    12:28
  • 7.1 Python to exe.pptx
  • 7. Tkinter EXE File Concept.mp4
    02:34
  • 8. Tkinter BMI Exe File Creation.mp4
    05:29
  • 9. Tkinter Grid Method.mp4
    09:30
  • 1.1 matplotlib.zip
  • 1. Line Chart.mp4
    04:35
  • 2. Scatter Plot and Bar Graph.mp4
    04:04
  • 3. Pie Chart.mp4
    04:52
  • 4. Histogram.mp4
    03:18
  • 5. Subplot in MATPLOTLIB.mp4
    05:28
  • 1.1 OOP.pptx
  • 1. Object Oriented Programming Introduction.mp4
    02:44
  • 2.1 object oriented programming.zip
  • 2. Classes and Objects.mp4
    05:23
  • 3. Using a variable in OOP.mp4
    03:45
  • 4. Dunder Function.mp4
    05:39
  • 5. Polymorphism.mp4
    04:45
  • 6. Inheritance Part 1.mp4
    05:05
  • 7. Inheritance Part 2.mp4
    06:18
  • 8. Multilevel Inheritance.mp4
    05:39
  • 9. Access Modifier Part 1.mp4
    03:10
  • 10. Access Modifier Part 2.mp4
    04:09
  • 1.1 exception handling.pptx
  • 1. Exception Handling An Overview.mp4
    04:22
  • 2.1 exception.zip
  • 2. Exception Handling Hands-On Part.mp4
    04:51
  • 1.1 Random Password Generator.pptx
  • 1. Random Password Generator- Introduction.mp4
    01:49
  • 2.1 randompasswordgenerator.zip
  • 2. Random Password Generator - Coding Part.mp4
    17:13
  • 1. QR Code Introduction.mp4
    03:30
  • 2. Installation.mp4
    02:27
  • 3.1 codegenerator.zip
  • 3. QR Code Live Code.mp4
    14:57
  • 4.1 codegenerator.zip
  • 4. QR Code Executable File Generation.mp4
    02:16
  • 1.1 API.pptx
  • 1. Introduction to API.mp4
    04:23
  • 2.1 JSON.pptx
  • 2. JSON Introduction.mp4
    04:48
  • 3. Open Weather Map An Overview.mp4
    09:47
  • 4.1 weather.zip
  • 4. Fetching Temperature Data using Open Weather Map API.mp4
    08:05
  • 5.1 new_weather.zip
  • 5. Fetching Temperature of a City by taking User Input.mp4
    04:15
  • 1. Introduction to the Problem.mp4
    08:54
  • 2. Coding Part.mp4
    09:49
  • 3. End of Course.html
  • Description


    Hands-On Approach

    What You'll Learn?


    • Fundamentals of Python Programming
    • Working with VS Code and Jupyter Notebook
    • Live Programming Examples and Projects
    • GUI Programming using Tkinter Module
    • Python Modules
    • Object Oriented Programming in Python
    • Exception Handling in Python
    • Python Data Types

    Who is this for?


  • Beginners in the field of programming, experts who want to have a quick recap and brush up the concepts. The course is easy to follow and it's completely hands-on
  • More details


    Description

    This course provides a comprehensive overview of Python Programming which is one of the most widely used computer programming language in the world today.  The language has a strong presence in domains like: Data Science, Artificial Intelligence, Machine Learning, Cyber Security, Web Development and many other domains that are relevant today. The course covers the language basics as well as the algorithms that are required to build a program. The hands-on part of Python has been implemented in VS Code and Jupyter Notebook, so that learners can get used to the software environments that are popular in the community.  The course has been designed in such a way that beginners can follow along easily in a step by step manner and get confident in their coding skills.  If you have knowledge of other programming language then also you will find the resources helpful that will help you to get used to Python programming and its syntax in no time. At a glance the following concepts are covered:

    1. Python Programming basics: Working with variables, type casting, processing user input

    2. Loops in Python: if-else, For, While

    3. Python Data Types: List, Dictionary, Tuple, Set

    4. Exception Handling

    5. Functions

    6. Modules: DateTime, Regex, Turtle, Tkinter: GUI Programming,  MATPLOTLIB

    7. Creating Executable File

    8. Object Oriented Programming: Polymorphism, Inheritance, Encapsulation

    9. Mini Projects/Coding Challenges: Random Password Generator, QR Code Generator

    10. API Handling: JSON decoding in Python

    Who this course is for:

    • Beginners in the field of programming, experts who want to have a quick recap and brush up the concepts. The course is easy to follow and it's completely hands-on

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    Dr. Umesh Dutta
    Dr. Umesh Dutta
    Instructor's Courses
    Dr. Umesh Dutta is Ph.D in Electronics & Communication Engineering with 10 years of work experience in teaching during which he has coached thousands of Engineers in the area of Microcontrollers and Embedded Systems Design. Dr. Dutta is one of the advocates of open source technologies and believes that educating people on open source platforms is a special tool for seeding the foundations of technology based solutions which can answer many challenges that are faced by industry and society. Dr. Dutta is fond of designing solutions in Internet of Things (IoT), Automation and Robotics domain.
    I'm Ina. I am a Research Associate at Manav Rachna Innovation and Incubation Centre. I have a passion for teaching and helping people upskill and reskill. My areas of expertise include Electronics, Programming and Web Development. I am also passionate about Machine Learning, Data Science and Artificial Intelligence. I also have research experience in the Image processing and Pattern Recognition domain.
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 90
    • duration 7:37:57
    • Release Date 2023/02/13