Python Training

Course Content

Module 01 – Python Environment Setup and Essentials

1.1 Introduction to Python Language
1.2 Features, the advantages of Python over other programming languages
1.3 Python installation – Windows, Mac & Linux distribution for Anaconda Python
1.4 Deploying Python IDE
1.5 Basic Python commands, data types, variables, keywords and more
Hands-on Exercise – Installing Python Anaconda for the Windows, Linux and Mac.

Module 02 – Python language Basic Constructs

2.1 Built-in data types in Python
2.2 Learn classes, modules, Str(String), Ellipsis Object, Null Object, Ellipsis, Debug
2.3 Basic operators, comparison, arithmetic, slicing and slice operator, logical, bitwise
2.4 Loop and control statements while, for, if, break, else, continue.
Hands-on Exercise –
1. Write your first Python program
2. Write a Python Function (with and without parameters)
3. Use Lambda expression
4. Write a class
5. Create a member function and a variable
6. create an object
7. Write a for loop

Module 03 – OOP concepts in Python

Module 04 – Database connection

Module 05 – NumPy for mathematical computing

Module 06 – SciPy for scientific computing

Module 07 – Matplotlib for data visualization

Module 08 – Pandas for data analysis and machine learning

Module 09 – Exception Handling

Module 10 – Multi Threading & Race Condition

Module 11 – Packages and Functions

11.1 Intro to modules in Python, need of modules
11.2 How to import modules in python
11.3 Locating a module, namespace and scoping
11.4 Arithmetic operations on Modules using a function
11.5 Intro to Search path, Global and local functions, filter functions
11.6 Python Packages, import in packages, various ways of accessing the packages
11.7 Decorators, Pointer assignments, and Xldr.
Hands-on Exercise –
1. Demo on Importing the modules and performing various operation on them using arithmetic functions
2. Importing various packages and accessing them and then performing different operations on them.

Module 12 – Web scraping with Python

12.1 Introduction to web scraping in Python
12.2 Installing of beautifulsoup
12.3 Installing Python parser lxml
12.4 Various web scraping libraries, beautifulsoup, Scrapy Python packages
12.5 Creating soup object with input HTML
12.6 Searching of tree, full or partial parsing, output print
Hands-on Exercise –
1. Installation of Beautiful soup and lxml Python parser
2. Making a soup object with input HTML file
3. Navigating using Py objects in soup tree.

Class Recordings – One on One Training

First Day

01:06:04
Second Day

01:20:41
Third Day

01:01:38
Fourth Day

01:11:57
Fifth Day

01:21:29
Sixth Day

56:46
Seventh Day

01:42:58
Eighth Day

01:20:22
Nineth Day

01:40:28
Tenth Day

01:04:25
Eleven Day

57:15
Twelve Day

50:08
Thirteen Day

01:11:39
Fourteen Day

01:08:44
Fifteen Day

01:25:26
Sixteen Day(Part1)

53:51
Seventeen Day

52:28
Sixteen Day(Part2)

21:39

About Course

Python training provides individuals with a comprehensive understanding of the Python programming language, known for its simplicity and versatility. Participants learn Python’s syntax, data structures, and how to create efficient and readable code. Python training covers various applications, from web development and data analysis to automation and artificial intelligence. It often includes hands-on projects to reinforce learning. Python’s popularity in fields like data science and web development makes this training highly valuable for programmers, IT professionals, and aspiring developers. Python training equips learners with the skills to build software, analyze data, and solve a wide range of real-world problems efficiently.

All Levels
0 Total Enrolled
40 hours Duration
July 11, 2024 Last Updated
Enrollment validity: 180 days
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Live Trainer Classes

All Courses

Business Analysis

Cloud Computing

CyberSecurity

Database

Management

Self Learning Courses

Art

Culture

Human Resource

Literature

Networking

Software Development

All Levels

40h

107

Course Content

Module 01 – Python Environment Setup and Essentials

1.1 Introduction to Python Language

1.2 Features, the advantages of Python over other programming languages

1.3 Python installation – Windows, Mac & Linux distribution for Anaconda Python

1.4 Deploying Python IDE

1.5 Basic Python commands, data types, variables, keywords and more

Hands-on Exercise – Installing Python Anaconda for the Windows, Linux and Mac.

Module 02 – Python language Basic Constructs

2.1 Built-in data types in Python

2.2 Learn classes, modules, Str(String), Ellipsis Object, Null Object, Ellipsis, Debug

2.3 Basic operators, comparison, arithmetic, slicing and slice operator, logical, bitwise

2.4 Loop and control statements while, for, if, break, else, continue.

Hands-on Exercise –

1. Write your first Python program

2. Write a Python Function (with and without parameters)

3. Use Lambda expression

4. Write a class

5. Create a member function and a variable

6. create an object

7. Write a for loop

Module 03 – OOP concepts in Python

3.1 How to write OOP concepts program in Python

3.2 Connecting to a database

3.3 Classes and objects in Python

3.4 OOPs paradigm, important concepts in OOP like polymorphism, inheritance, encapsulation

3.5 Python functions, return types and parameters

3.6 Lambda expressions

Hands-on Exercise –

1. Creating an application which helps to check balance, deposit money and withdraw the money using the concepts of OOPS.

Module 04 – Database connection

4.1 Understanding the Database, need of database

4.2 Installing MySQL on windows

4.3 Understanding Database connection using Python.

Hands-on Exercise – Demo on Database Connection using python and pulling the data.

Module 05 – NumPy for mathematical computing

5.1 Introduction to arrays and matrices

5.2 Broadcasting of array math, indexing of array

5.3 Standard deviation, conditional probability, correlation and covariance.

Hands-on Exercise –

1. How to import NumPy module

2. Creating array using ND-array

3. Calculating standard deviation on array of numbers

4. Calculating correlation between two variables.

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