Python

The Python training by The Tools is a 6-weeks training program in which students will learn Python Basics, Classes, Graphics in Python and Data Science libraries. Python is one of the most in-demand skill in today's industry and has applications in business analysis, and data science. For a great hands on learning experience, this training program is packed with assignments, assessment tests, and exercises.

Why Python?

  1. Easy to learn
  2. Easy to program in
  3. Capable of creating apps that can handle heavy traffic without problems
  4. Useful for developers who can add more features in an app quickly and easily
  5. Useful for companies as it helps cut development costs

Course Content

  1. Introduction to Python
  2. Session 1:
    1. Installing Python
    2. IPython Shell
    3. Basic Syntax, Data Types, Variables, Operators, Input/output
    4. Declaring variable, data types in programs
    5. Your First Python Program
    6. Flow of Control (Modules, Branching)
    7. If, If- else, Nested if-else
    8. Looping, For, While
    9. Nested loops
    10. Control Structure
    11. Uses of Break & Continue
  3. Session 2:
    1. Working with Lists
    2. Introducing Lists
    3. Defining Lists
    4. Declare, assign and retrieve values from Lists
    5. Accessing list
    6. Operations in Lists
    7. Adding Elements to Lists
    8. Searching Lists
    9. Deleting List Elements
    10. Using List Operators
    11. Mapping Lists
    12. Joining Lists and Splitting Strings
  4. Session 3:
    1. Dictionaries
    2. Introducing Dictionaries
    3. List vs Dictionary
    4. Datasets in Python
    5. DataFrame from Dictionary
    6. DataFrame from CSV file
    7. Index and select data
  5. Intermediate Python
  6. Session 4:
    1. Function, Methods and Packages
    2. Defining a function
    3. Calling a function
    4. Types of functions
    5. Function Arguments
    6. Anonymous functions
    7. Global and local variables
    8. Using Optional and Named Arguments
    9. Using list, str, dir, and Other Built-In Functions
    10. Installing package
    11. Using packages
  7. Session 5:
    1. Working with Tuples
    2. Introducing Tuples
    3. Accessing tuples
    4. Operations
  8. Session 6:
    1. File Handling
    2. Introduction to Files
    3. Importing data
    4. Libraries and Functionality Programming
    5. Manipulate DataFrame
    6. Importing other files types
  9. Advanced Python
  10. Session 7:
    1. Advanced Python
    2. Object Oriented Python
    3. OOPs concept
    4. What's an Object?
    5. Indenting Code
    6. Native Data types
    7. Declaring variables
    8. Referencing Variables
    9. Object References
    10. Class and object
    11. Attributes, Inheritance
    12. Overloading & Overriding
    13. Data hiding
    14. Regular Expressions Using python
  11. Session 8:
    1. Operations Exception
    2. Exception Handling
    3. Except clause
    4. Try finally clause
    5. User Defined Exceptions
  12. Session 9:
    1. Introduction to relational database
    2. Create Database Connection
    3. Database operation using SQLite
    4. CREATE, INSERT, READ, UPDATE and DELETE Operation
    5. Performing Transactions
    6. Handling Database Errors
    7. Disconnecting Database
  13. Session 10:
    1. DJango framework understanding
    2. Demo project
    3. Creation of view
    4. Creation of template
    5. Connect with database

5

Locations

15

Courses

20

Faculties

100

Members

Featured Services

Actual Project Training

Chance to work on actual industry project

Softwares

Complete setup of softwares on your machine

Low Cost Services

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Moderate Assignments

More in sessions and less in mandatory assignments

Cloud Based Material

Learn from cloud hosted material whenever and wherever you want

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