Python Programming 2021-22

This series of tutorials will help you understand the basics and intermediate of Python Programming.

The following topics will be covered as part of this series. Each topic is described in detail with hands-on exercises done on Jupyter Notebook to help students learn with ease. We will cover all the nitty-gritty that you need to know to get started with Python along with the correction and handling of errors as and when they pop-up

What you’ll learn

  • Students will have a good working knowledge on Python Programming and can use it for their Educational as well as Business projects and assignments..
  • Working professionals can also benefit from this course as this course provides many tips and tricks which they can use it for their Corporate presentations..
  • The topics that will be covered in this course are as follows:.
  • 1. Getting Started with Python.
  • 2. Spyder IDE.
  • 3. Jupyter Notebook.
  • 4. Basic Variables.
  • 5. Numeric Operators.
  • 6. Types of Data.
  • 7. Isinstance and Logical Operators.

Course Content

  • Introduction to Python –> 8 lectures • 54min.
  • Data Structures and Conditional Executions in Python –> 6 lectures • 1hr.
  • Conditions and Loops in Python –> 5 lectures • 35min.
  • Errors and Exceptions in Python –> 5 lectures • 43min.
  • Graphs and Plotting in Python –> 6 lectures • 50min.
  • Working with Different Functions in Python –> 10 lectures • 1hr 19min.
  • Web Scraping using BeautifulSoup in Python –> 1 lecture • 11min.

Python Programming 2021-22

Requirements

  • No prior knowledge on Python or any other software is needed..

The following topics will be covered as part of this series. Each topic is described in detail with hands-on exercises done on Jupyter Notebook to help students learn with ease. We will cover all the nitty-gritty that you need to know to get started with Python along with the correction and handling of errors as and when they pop-up

  1. Getting Started with Python
  2. Spyder IDE
  3. Jupyter Notebook
  4. Basic Variables
  5. Numeric Operators
  6. Types of Data
  7. Isinstance and Logical Operators

The following topics will be covered as part of this series. Each topic is described in detail with hands-on exercises done on Jupyter Notebook to help students learn with ease. We will cover all the nitty-gritty that you need to know to get started with Python along with the correction and handling of errors as and when they pop-up

  1. Getting Started with Python
  2. Spyder IDE
  3. Jupyter Notebook
  4. Basic Variables
  5. Numeric Operators
  6. Types of Data
  7. Isinstance and Logical Operators

The following topics will be covered as part of this series. Each topic is described in detail with hands-on exercises done on Jupyter Notebook to help students learn with ease. We will cover all the nitty-gritty that you need to know to get started with Python along with the correction and handling of errors as and when they pop-up

  1. Getting Started with Python
  2. Spyder IDE
  3. Jupyter Notebook
  4. Basic Variables
  5. Numeric Operators
  6. Types of Data
  7. Isinstance and Logical Operators

The following topics will be covered as part of this series. Each topic is described in detail with hands-on exercises done on Jupyter Notebook to help students learn with ease. We will cover all the nitty-gritty that you need to know to get started with Python along with the correction and handling of errors as and when they pop-up

  1. Getting Started with Python
  2. Spyder IDE
  3. Jupyter Notebook
  4. Basic Variables
  5. Numeric Operators
  6. Types of Data
  7. Isinstance and Logical Operators
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