Python

Python is a general-purpose, interpreted, high-level programming language developing desktop GUI applications, websites and web applications . It has easy to learn and simple syntax which maximizes the readability and reduces the programming cost.
₹ 1,000.00

Python

Python is a general-purpose, interpreted, high-level programming language developing desktop GUI applications, websites, and web applications. It has easy to learn and simple syntax, which maximizes the readability and reduces the programming cost.

  • 53,972 Students Enrolled
  • Online
  • 05
  • English
 

About this course

In this course, you will learn the basics of the Python programing language, together with the best practices of writing a program.

Why Learn Python?

Learning python will quickly help one to settle in different career paths easily !!, some of the career paths that a developer can choose are:

  • Web Development: using the frameworks Django, Flask, Pylons.
  • Data Science and Visualization: using Numpy, Pandas, and Matplotlib.
  • Machine learning: with Tensorflow and Scikit-learn
  • Desktop applications: with PyQt, Gtk, wxWidgets, and many more
  • Mobile apps: using Kivy or BeeWare.
  • Education: Python is a great language to learn to program.

Duration:

30 days

Effort:

2-3 Hours A Day

Subject:

Python

Level:

Basic

Practice:

65+

 

What you'll learn

  • You’ll learn to represent and store data using Python data types and variables, and usage of conditionals and loops to regulate the flow of your programs.
  • You will equip the ability of advanced data structures like lists, sets, dictionaries, and tuples to store collections of related data.
  • You will understand the outline and document your custom functions, write scripts, and handle errors, bugs, or issues with your program.
  • Lastly, you will learn how to search out and use modules within the Python standard Library and explore some of the different third-party libraries

Bonus:

  • Extra 140+ programs for practise.
  • Extra 20+ challenges for practice.
  • Real-life Scenario-based example videos for better understanding.
  • 50+ Code Challenges for testing your skill.
  • You will practice solving computational problems, designing new algorithms, and implementing solutions efficiently (so that they run in less than a second). 

Scope for job

After learning Python, one can choose a career path of their choice; it can be Web Development, Data Science, Machine Learning, Desktop Applications, Mobile Applications, etc.

Requirements

No programming experience is required, all concepts taught in this class!

 

Python Full Course

Introduction

Python is a general-purpose, interpreted, high-level programming language developing desktop GUI applications, websites and web applications . It has easy to learn and simple syntax which maximizes the readability and reduces the programming cost.

 

Stage-1

  • Step-1 (At a Glance)
  • Step-2 (Introduction)
  • Step-3 (Variables)
  • Step-4 (Operators)
  • Step-5 (Enum)
  • Step-6 (Basic Input & Output)
  • Step-7 (CC-Exam)
  • Step-8 (MCQ-Exam)

Stage-2

  • Step-1 (At a Glance)
  • Step-2 (Conditional Statements)
  • Step-3 (Loops)
  • Step-4 (Strings)
  • Step-5 (CC-Exam)
  • Step-6 (MCQ-Exam)

Stage-3

  • Step-1 (At a Glance)
  • Step-2 (Tuples)
  • Step-3 (Lists)
  • Step-4 (List comprehensions & List Slicing)
  • Step-5 (Dictionaries)
  • Step-6 (Sets)
  • Step-7 (NumPy_Arrays)
  • Step-8 (Date & Time)
  • Step-9 (CC-Exam)
  • Step-10 (MCQ-Exam)

Stage-4

  • Step-1 (At a Glance)
  • Step-2 (Basic Turtle)
  • Step-3 (Race Track Project)
  • Step-4 (MCQ-Exam)

Level Exam

To bring an improvement in the individual's knowledge because level exams provide regular feedback to the students who acknowledge their shortcomings and work on them.

Stage-1

  • Step-1 (At a Glance)
  • Step-2 (Object Oriented Programming)
  • Step-3 (Errors & Execptions)
  • Step-4 (Property Objects)
  • Step-5 (Polymorphism)
  • Step-6 (Debugging)
  • Step-7 (CC-Exam)
  • Step-8 (MCQ-Exam)

Stage-2

  • Step-1 (At a Glance)
  • Step-2 (Python Modules)
  • Step-3 (Module)
  • Step-4 (Functions)
  • Step-5 (Partial Functions)
  • Step-6 (Linked Lists)
  • Step-7 (CC-Exam)
  • Step-8 (MCQ-Exam)

Stage-3

  • Step-1 (At a Glance)
  • Step-2 (Searching)
  • Step-3 (Sorting)
  • Step-4 (Stack)
  • Step-5 (Web Browser)
  • Step-6 (Indexing & Slicing)
  • Step-7 (CC-Exam)
  • Step-8 (MCQ-Exam)

Level Exam

To bring an improvement in the individual's knowledge because level exams provide regular feedback to the students who acknowledge their shortcomings and work on them.

 

Stage-1

  • Step-1 (At a Glance)
  • Step-2 (MultiThreading)
  • Step-3 (Files)
  • Step-4 (Regular Expressions)
  • Step-5 (Exceptions)
  • Step-6 (Sockets)
  • Step-7 (CC-Exam)
  • Step-8 (MCQ-Exam)

Stage-2

  • Step-1 (At a Glance)
  • Step-2 (GUI-Basics)
  • Step-3 (GUI-Graphics)
  • Step-4 (Advanced Programs)
  • Step-5 (Database Access)
  • Step-6 (Design Patterns)
  • Step-7 (CC-Exam)
  • Step-8 (MCQ-Exam)

Level Exam

To bring an improvement in the individual's knowledge because level exams provide regular feedback to the students who acknowledge their shortcomings and work on them.

 

L4-Post Assessment Test

Our assessment can encourage active learning as our assessment delivery is innovative and engaging. To measure the amount of learning a student has acquired in a specific course. To achieve this, we have questions concerning all of the topics covered during a course.

Real Life Videos

We intend to watch a short video rather than read a long body of text, hence we provide every a real-time video for every topic in our course.

Technical Videos

Our courses are designed for all types of learners, hence we have technical videos for visual learners to facilitate thinking and problem-solving.

Project Videos

In order to assist students to improve their performance by providing visual examples, allowing them to interact, explore and digest the content at their own pace project videos play a primary role.

Algorithm Visualization

Visualization is more than a tool for finding patterns in data. Visualization leverages the human visual system to enable anyone and understand the subject to an expert level.