Python Language Training

Python Language Training by JPM Edu Solutions Training Institute in Chennai

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Created by JPM Edu Solutions Training Institute in Chennai Last updated Thu, 16-Jun-2022 English


Python Language Training free videos and free material uploaded by JPM Edu Solutions Training Institute in Chennai .

Syllabus / What will i learn?

Introduction to Python Language

What is Python, Uses of Python Programming Language / Python Applications, Python for Software development, Python for Networking, Python for Automated Testing, Features of Python Programming Language, Implementations of Python, and Python career opportunities.

Download & Install Python

Download your operating system compatible Python Interpreter, install Python, set environment variable, customize Python shell, write & execute Python programs using Interactive mode and script mode. Python PyCharm or IDE, set Python for PyCharm IDE, configure PyCharm IDE, write & execute Python programs.

 Python Language Syntax

Modes of Programming in Python, Interactive mode programming, Script mode programming, Creating Python program file, Python Identifiers, Python keywords, Lines and Indentation, Spilt Python statements, Join Python Statements, Writing code blocks, Comments in Python, and Quotation in Python.

 Python Keywords and Identifiers

Python keywords or Reserved words, Python keywords define the syntax and structure of the Python language, Python keywords are case sensitive, Python literals (True, False, Null), Python Identifiers, class names, variable names, function names, method names, and Identifier naming rules.

 Python Comments

Purpose/use of comments in Computer Programming, Comments for Understanding Python code, Python Comment Syntax, Python Single line comment, Multiline comment in Python, and writing Python comments.

 Python Variables

What is Variable?, Declaration of Variables, Assign Values to Variables, Initialization, Reading, Variable naming restrictions, and Types of Python Variables.

Python Data Types

What is Data Type?, Implicit Declaration of Data Types, Python Numbers (Integers, floating-point numbers, and complex numbers), Python Strings, Python boolean data type.

Python Operators

Python Arithmetic, Comparison/Relational Operators, Increment Operators, Logical operators, Python Identity Operators, and Python Operators Precedence.

 Python Control Flow – Decision Making

(Decision Making / Conditional Statements in Python, Simple If Structure, if-else structure, if elif structure, and nested If Structure. Execute a block of Statements when the condition is true, Execute a block of Statements when a compound condition is true, Execute a block of Statements when the condition is true otherwise execute another block of Statements, Decide among several alternates(elif), and Execute a block of Statements when more than one condition is true (Nested if))

 Python Control Flow – Looping

((Python Control Flow Statements, Python Loop Statements. Python while loop, Python for loop, Python range(), Python Nested Loop Structures, and Inserting conditions in Loops and vice versa.))

 Python Control Flow – Branching

(Python Flow Control – Branching Statements, A branching statement is a statement that determines whether other statements will be executed. Python Branching Statements – break, continue, pass)

 Python Numbers

(Python Number data types are for storing numeric values, Python supports integers, floats, and complex numbers.)

Python Strings

(String is a sequence of characters written in single quotes or in double quotes or in three double quotes. The string may have Alphabets, Numbers, and Special Characters. Operations on Strings, Finding String length, Concatenating Strings, Print a String multiple times, Check whether the String has all numeric characters?, and Check whether the String has all alphabetic characters?.)

 Python Lists

((Python Data Structures, Create Python Lists, Update Python Lists, Delete Elements from Python Lists, and Built-in Functions & Built-in Methods for Python Lists.))

Python Tuples

(Tuples are sequences, just like lists. The differences between tuples and lists are, the tuples cannot be changed unlike lists and tuples use parentheses, whereas lists use square brackets.)

 Python Sets

(A Python set is a collection that is unordered and unindexed. In Python sets are written with curly brackets.)

 Python Dictionaries

(A dictionary is a collection that is unordered, changeable, and indexed. In Python dictionaries are written with curly brackets, and they have keys and values.)

 Python Arrays

(Array is a container that can hold a fixed number of items and these items should be of the same type. Python does not have built-in support for Arrays, but Python Lists can be used instead.)

Python user-defined Functions

(In all programming and scripting languages, a function is a block of program statements that can be used repetitively in a program. It saves the time of a developer. In Python concept of function is the same as in other languages. There are some built-in functions that are part of Python. Besides that, we can define functions according to our needs.)

Python Built-in Functions

(Python has several functions that are readily available for use. These functions are called built-in functions.)

Python – Modules

A module allows you to logically organize your Python code. Simply, a module is a file consisting of Python code. A module can define functions, classes, and variables. A module can also include runnable code.

 Python User Input

Python user input from the keyboard can be read using the input() built-in function. The input from the user is read as a string and can be assigned to a variable.

Python File Handling

Python too supports file handling and allows users to handle files i.e., to read and write files, along with many other file handling options, to operate on files.

 Python Exceptions Handling

Python provides us with a way to handle the Exception so that the other part of the code can be executed without any disruption. However, if we do not handle the exception, the interpreter doesn’t execute all the code that exists after that.

Regular Expressions

(A RegEx, or Regular Expression, is a sequence of characters that forms a search pattern. Python has a built-in package called re, which can be used to work with Regular Expressions. The re module offers a set of functions that allows us to search a string for 



Curriculum for this course
0 Lessons 00:00:00 Hours
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Description

The spark that created Python originated in 1989 by Guido van Rossum. He found difficulties while working with ABC Language. He got the idea to develop a new language combining the good features of ABC with new practical features such as extensibility and exception handling. One of its most useful applications, is its interoperability with other languages, by the use of modules. Over the years, Python has been improved and developed further and it has become a valuable tool in the hands of IT personnel.

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