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What you'll learn?
- Basically, the participants would understand how to do programming along with it they would understand the need to learn programming
Course Overview
Python is a general-purpose and versatile programming language, suitable for projects ranging from small scale applications to large scale applications.
The focus of the course is to provide participants with an introduction to programming, GUI programming to Visualization.
This course would make a strong Python base of participants to think like Data Scientist, to work as a machine learning engineer, and to play the role of Data Analyst.
Pre-requisites
- The participants would need the computer where Python must be installed and there would be a need to use Internet too as they would have to install software at few times
Target Audience
- The participants have to have interest in learning programming and the passion to try different programs
Curriculum 52 Lectures 07:45:45
-
Section 1 : Basic of Python
- Lecture 2 :
- Basics of Python 1
- Lecture 3 :
- Basics of Python 2
- Lecture 4 :
- executing various functions and statement in Python
- Lecture 5 :
- Using Relational Operators
-
Section 2 : Sequential Constructs
- Lecture 1 :
- Writing Simple Python Programs
- Lecture 2 :
- Writing Python program with input functions
- Lecture 3 :
- Understanding System Defined Functions
-
Section 3 : Conditional Constructs
- Lecture 1 :
- Application of if condition and implementing system defined functions
- Lecture 2 :
- If condition tutorial 2
- Lecture 3 :
- If condition tutorial 3
- Lecture 4 :
- If…elif…else condition
- Lecture 5 :
- Nested if condition
- Lecture 6 :
- Nested if …elif condition
-
Section 4 : Iterative Constructs
- Lecture 1 :
- while loop 1 in Python
- Lecture 2 :
- While loop 2 in Python
- Lecture 3 :
- Introduction to For loop
- Lecture 4 :
- Implementation using For
- Lecture 5 :
- If condition in For loop
-
Section 5 : Lists Tuples and Dictionary
- Lecture 1 :
- Introduction to Lists in Python
- Lecture 2 :
- Features of Lists
- Lecture 3 :
- Functions in Lists
- Lecture 4 :
- Programs based on Python Lists
- Lecture 5 :
- Use of Tuples and Dictionary
-
Section 6 : Looping
- Lecture 1 :
- Programs in Lists using Loops
- Lecture 2 :
- Looping Programs
-
Section 7 : User Defined Function in Python
- Lecture 1 :
- How to use user defined functions 1
- Lecture 2 :
- How to use user defined functions 2
- Lecture 3 :
- How to use user defined functions 3
- Lecture 4 :
- How to use user defined functions 4
-
Section 8 : Import modules
- Lecture 1 :
- Using OS module
- Lecture 2 :
- Date Time and Math Module
-
Section 9 : Some more types of Functions
- Lecture 1 :
- Using Lambda
- Lecture 2 :
- Using String functions
-
Section 10 : File Handling in Python
- Lecture 1 :
- File Handling 1
- Lecture 2 :
- File Handling 2
-
Section 11 : Exception Handling
- Lecture 1 :
- Exceptions in Python 1
- Lecture 2 :
- Exceptions in Python 2
- Lecture 3 :
- Exceptions in Python 3
-
Section 12 : Using Regular Expressions
- Lecture 1 :
- Using re 1
- Lecture 2 :
- Using re 2
-
Section 13 : GUI Programming
- Lecture 1 :
- Understanding Tkinter 1
- Lecture 2 :
- Understanding Tkinter 2
- Lecture 3 :
- Understanding WebElements like Combo and CheckBox
- Lecture 4 :
- Writing User Authentication Program using Tkinter
- Lecture 5 :
- Writing Calculator Programs using Tkinter
-
Section 14 : Python - Database Connectivity
- Lecture 1 :
- Python-MYSQL Connectivity 1
- Lecture 2 :
- Python-MYSQL Connectivity 2
- Lecture 3 :
- Python-MYSQL Connectivity using Tkinter 1
- Lecture 4 :
- Python-MYSQL Connectivity using Tkinter 2
-
Section 15 : Studying Smart Python Editors
- Lecture 1 :
- Learning Jupyter Notebook
-
Section 16 : Data Visualization
- Lecture 1 :
- Data Visualization using Python
Our learners work at
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Instructor
135588 Course Views
1 Courses
Experienced teacher and researcher with a demonstrated history of working in the education management industry. Skilled in Python, SQL, Oracle Databases, and Data Analytics. Doctorate in Big Data analytics and pursuing research in Hadoop-MapReduce.
20+ research papers in credit published in various National and International conferences and authored a few books and articles in top journals and magazines.
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