Description

What is Python:

Python is a widely used (used by sites like YouTube and Dropbox) high-level, general-purpose, interpreted, dynamic programming language. Its design philosophy emphasizes code readability, and its syntax allows programmers to express concepts in fewer lines of code that would not be possible in other object-oriented languages such as C++ or Java.

Python supports multiple programming paradigms, including object-oriented, imperative and functional programming or procedural styles. It features a dynamic type system and automatic memory management and has a large and comprehensive standard library.

Why Python:

Python Tops IEEE Spectrum Programming Language Ranking.

Python code can be run on any Operating System.

Python codes are easy to read and write.

Programming at the speed of thought

A General purpose language, popular in the field of Data Science, Machine learning, Deep learning, Natural language processing.

A large community support

Python programming can be used for the Academic purpose as well as in Software development

A lot of startups and middle-level companies are making their web-application in Python-web frameworks like Django

High demand and less supply of Python programming.

The Top 20 (Default Ranking) (source: IEEE Spectrum)

Python Training Topics.

Python Training: Python Core

Python Introduction

Python Installation

In Windows

In Linux

Basic Python Syntax

Back Slash

String inside the quotes

Escape Sequence of String

Formatted Output

Python Variables and Assignment Statement

Python Operators

Python Arithmetic Operators.

Python Comparison Operators

Python Assignment Operators

Python Bitwise Operators

Python Logical Operators

Python Membership Operators

Python Identity Operators

Python Control Statement

Else

Python loops

For loops

While loops

Python Break statement

Python continue statement

Python pass statement

Python String

Subscript Operator

Slicing

String methods

Python Tuple

Accessing Values

1. Indexing

2.Slicing

3.Updating

4.max()

5.min()

6.in operator

Python List

Creating Python List

Python List Operations

1.Accessing Values

2.Updating values

3.Deleting values

4.Addition of Python Lists

5.Multiplication of Python List

Python list function

1.max()

2.min()

3.list()

4.cmp()

List methods

1.append()

2.extend()

3.count()

4.index()

5.insert()

6.pop()

7.remove()

8.Sort()

9.reverse()

List Comprehensions

Python Dictionary

Operations on Python dictionary

Dictionary functions

Dictionary methods

Python Modules

Import Statement

Locating Python Modules

Python Package

Python Function

Function with arguments

Function with the argument and return value

Function with default Argument

Function with Variable-length arguments

Keyworded variable length of arguments

Scope of Variables

Python memory management & Scope

Local scope

Enclosing Scope

Global scope

Buit-In scope

Run-time stack

Heap

Python Exception

Try statement with an except clause

Multiple Python exception block

Handling multiple Python exception type

The try/finally Statement

Program find its exception type

Raising an Python exceptions

User-Defined Exceptions

Python File Input/Output

Reading Text from a File

Writing Text to a File

Special function

Lambda

Map

Filter

Reduce

Repr

Sorted()

isinstance()

len()

dir()

zip()

sum()

Python Random module

randint()

choice(rnlist)

shuffle()

randrange()

sample()

Python Pickle

Load

dump

Python Collections Counter

most_common(number)

Update()

Python Collections Deque

Extend

Append

Extendleft

appendleft

Default Dictionary

Named Tuple

Python date and time

Time module

time()

epoch time generation

gmtime()

mktime()

strptime()

localtime()

strftime()

asctime()

ctime()

sleep

Datetime module

today()
now()
timedelta

Calendar module

Month()
isleap( )
calendar()

pytz

country_timezones
country_names

Python Training: Python Advanced

Python Regular Expression

match()

search()

sub()

findall()

special characters

Class and Objects

Basic OOP Terminology in Python

Class variable

Instance variable

__init__ Method

Class Inheritance

Overriding Methods

Operator Overloading

Private variable

Static methods

Class methods

Python Threads

Threading modules

run()

start()

join()

Locks

Daemon thread

Timer

GIL

Python Queue

FIFO queue

get()

put()

empty()

LifoQueue()

PriorityQueue()

Queue with Threads

task_done()

producer consumer problem

Python operating system interfaces

os.walk()

os.popen()

os.system()

os.remove()

os.listdir()

os.rename()

os.environ

os.getcwd()

os.chdir()

os.access()

Python loggers

Creating a Simple Logger

DEBUG

INFO

WARNING

ERROR

CRITICAL

Complex logger

Configparser (Avoid hardcoding)

Python operating system interfaces

os.rename(src, dst)
os.listdir(path)
os.remove(path)
os.getcwd()
os.chdir(path)
os.stat(path)
Os.path.isdir()
Os.mkdir()
Os.makedirs()
os.access()
os.walk()
os.system()
os.popen()

Duration & Timings :

Duration – 30 Hours.

Training Type: Instructor Led Live Interactive Sessions.

Faculty: Experienced.

Weekend Session – Sat & Sun 9:30 AM to 12:30 PM (EST) – 5 Weeks. January 4, 2025.

Weekday Session – Mon – Thu 8:30 PM to 10:30 PM (EST) – 4 Weeks. January 27, 2025

Weekday Session – Mon – Thu 8:30 PM to 10:30 PM (EST) – 4 Weeks. February 10, 2025.

PYTHON REVIEWS

I will give excellent review for Mohit my python teacher and this organization as well. Since taking this course with Mohit, I have gained so much confidence in python. Mohit is always available to answer my questions since I have completed the program and always explain the logic behind the program. I will definitely recommend Mohit to anyone that chooses Learntek python course.

Munir

Learntek training for Python programming was very good,.I really liked the way Mohit has put forward the training sessions, more of practical real time programming and very helpful for the beginners to get started with,Out of several courses I have attended from Learntek, like AWS, Devops, this was the best, very systematic, prompt for all the sessions, the way he explained it was like a virtual whiteboard session, very well managed. Thank you

Mahesh

I had wonderful Python classes with Mohit. I look forward for other classes in June.

Likita