Python

Python is a simple, easy to learn programming language. It is must-have skill for most of the big companies

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In last 5 to 10 years use of internet has been increased massively. Internet is being used for commercial as well as non-commercial purpose also professional as well as non-professional purpose. Hence the amount of information that is being poured on internet is very large. Every piece of data may it be your personal data, professional data, finance data is easily available on internet. The rise of social media has also added to it. This has led to increase in Cyber attacks.

Cyber attacks has increased drastically in last decade. It is causing the largest damage to companies and as well as the individuals on personal level. Cyber attacks is one of the largest reasons of financial losses to companies hence in order to avoid that the companies now have more aware and became more responsible when it comes securing their assets over the internet. This has led to rise Cyber Security industry.

Cyber Security market is fastest growing market in the world at current stage. Hence there is large vacancy of skilled professionals in Cyber security and there this course comes in picture.

This course covers all areas that you should have knowledge if you want to enter in Cyber Security field. It will create a solid base for the Cyber security on the basis of which an individual can built his career and can have advanced learning
and training. This course is capable of providing the individual an entry level job in Cyber security industry conditionally the individual should perform well throughout

As a student we always look to learn things that can help us to a get job and it should last in future. If you talk about Cyber security is one of the largest growing industry in world. Don’t trust me go to Google and search you will find the answer. You search anything fastest growing industry , fastest growing technology, fastest growing career option in each list you will find Cyber security so the early you start your journey the more it will be fruitful to student. error, est. Ea, consequatur.

Python Course

Module-1: Python Foundation (Mandatory)
  • What is Python and history of Python?
  • Why Python and where to use it?
  • Discussion about Python 2 and Python 3
  • Set up Python environment for development
  • Demonstration on Python Installation
  • Discuss about IDE’s like IDLE, Pycharm and Enthought Canopy
  • Discussion about unique feature of Python
  • Write first Python Program
  • Start programming on interactive shell.
  • Using Variables, Keywords
  • Interactive and Programming techniques
  • Comments and document interlude in Python
  • Practical use cases using data analysis
  • Introduction to Hadoop
Core Objects and Built-in Functions
  • Python Core Objects and builtin functions
  • Number Object and operations
  • String Object and Operations
  • List Object and Operations
  • Tuple Object and operations
  • Dictionary Object and operations
  • Set object and operations
  • Boolean Object and None Object
  • Different data Structures, data processing
Conditional Statements and Loops
  • What are conditional statements?
  • How to use the indentations for defining if, else, elif block
  • What are loops?
  • How to control the loops
  • How to iterate through the various object
  • Sequence and iterable objects
UDF Functions and Object Functions
  • What are various type of functions
  • Create UDF functions
  • Parameterize UDF function, through named and unnamed parameters
  • Defining and calling Function
  • The anonymous Functions – Lambda Functions
  • String Object functions
  • List and Tuple Object functions
  • Dictionary Object functions
File Handling with Python
  • Process text files using Python
  • Read/write and Append file object
  • File object functions
  • File pointer and seek the pointer
  • Truncate the file content and append data
  • File test operations using os.path
Module-2 – Python Advance (Mandatory)
  • Python inbuilt Modules
  • os, sys, datetime, time, random, zip modules
  • Create Python UDM – User Defined Modules
  • Define PYTHONPATH
  • Create Python Packages
  • init File for package initialization
Exceptional Handing and Object-Oriented Python
  • Python Exceptions Handling
  • What is Exception?
  • Handling various exceptions using try….except…else
  • Try-finally clause
  • Argument of an Exception and create self exception class
  • Python Standard Exceptions
  • Raising an exceptions, User-Defined Exceptions
  • Object oriented features
  • Understand real world examples on OOP
  • Implement Object oriented with Python
  • Creating Classes and Objects, Destroying Objects
  • Accessing attributes, Built-In Class Attributes
  • Inheritance and Polymorphism
  • Overriding Methods, Data Hiding
  • Overloading Operators
Debugging, Framework & Regular expression
  • Debug Python programs using pdb debugger
  • Pycharm Debugger
  • Assert statement for debugging
  • Testing with Python using UnitTest Framework
  • What are regular expressions?
  • The match and search Function
  • Compile and matching
  • Matching vs searching
  • Search and Replace feature using RE
  • Extended Regular Expressions
  • Wildcard characters and work with them
Database interaction with Python
  • What are various type of functions
  • Create UDF functions
  • Parameterize UDF function, through named and unnamed parameters
  • Defining and calling Function
  • The anonymous Functions – Lambda Functions
  • String Object functions
  • List and Tuple Object functions
  • Dictionary Object functions
Package Installation, Windows spreadsheet parsing and webpage scrapping
  • Process text files using Python
  • Read/write and Append file object
  • File object functions
  • File pointer and seek the pointer
  • Truncate the file content and append data
  • File test operations using os.path

Python Foundation

  • What is Python and history of Python?
  • Why Python and where to use it?
  • Discussion about Python 2 and Python 3
  • Set up Python environment for development
  • Demonstration on Python Installation
  • Discuss about IDE’s like IDLE, Pycharm and Enthought Canopy
  • Discussion about unique feature of Python
  • Write first Python Program
  • Start programming on interactive shell.
  • Using Variables, Keywords
  • Interactive and Programming techniques
  • Comments and document interlude in Python
  • Practical use cases using data analysis
  • Introduction to Hadoop

Core Objects and Built-in Functions

  • Python Core Objects and builtin functions
  • Number Object and operations
  • String Object and Operations
  • List Object and Operations
  • Tuple Object and operations
  • Dictionary Object and operations
  • Set object and operations
  • Boolean Object and None Object
  • Different data Structures, data processing

Conditional Statements and Loops

  • What are conditional statements?
  • How to use the indentations for defining if, else, elif block
  • What are loops?
  • How to control the loops
  • How to iterate through the various object
  • Sequence and iterable objects

UDF Functions and Object Functions

  • What are various type of functions
  • Create UDF functions
  • Parameterize UDF function, through named and unnamed parameters
  • Defining and calling Function
  • The anonymous Functions – Lambda Functions
  • String Object functions
  • List and Tuple Object functions
  • Dictionary Object functions

File Handling with Python

  • Process text files using Python
  • Read/write and Append file object
  • File object functions
  • File pointer and seek the pointer
  • Truncate the file content and append data
  • File test operations using os.path

Python Advance

  • Python inbuilt Modules
  • os, sys, datetime, time, random, zip modules
  • Create Python UDM – User Defined Modules
  • Define PYTHONPATH
  • Create Python Packages
  • init File for package initialization

Exceptional Handing and Object-Oriented Python

  • Python Exceptions Handling
  • What is Exception?
  • Handling various exceptions using try….except…else
  • Try-finally clause
  • Argument of an Exception and create self exception class
  • Python Standard Exceptions
  • Raising an exceptions, User-Defined Exceptions
  • Object oriented features
  • Understand real world examples on OOP
  • Implement Object oriented with Python
  • Creating Classes and Objects, Destroying Objects
  • Accessing attributes, Built-In Class Attributes
  • Inheritance and Polymorphism
  • Overriding Methods, Data Hiding
  • Overloading Operators

Debugging, Framework & Regular expression

  • Debug Python programs using pdb debugger
  • Pycharm Debugger
  • Assert statement for debugging
  • Testing with Python using UnitTest Framework
  • What are regular expressions?
  • The match and search Function
  • Compile and matching
  • Matching vs searching
  • Search and Replace feature using RE
  • Extended Regular Expressions
  • Wildcard characters and work with them

Database interaction with Python

  • What are various type of functions
  • Create UDF functions
  • Parameterize UDF function, through named and unnamed parameters
  • Defining and calling Function
  • The anonymous Functions – Lambda Functions
  • String Object functions
  • List and Tuple Object functions
  • Dictionary Object functions

Package Installation, Windows spreadsheet parsing and webpage scrapping

  • Process text files using Python
  • Read/write and Append file object
  • File object functions
  • File pointer and seek the pointer
  • Truncate the file content and append data
  • File test operations using os.path

What our Students say

Samruddhi Shinde
Samruddhi Shinde
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I have learn python from Akshay Shinde sir and it was amazing experience for me to learn python from Tech Amplifier 💯
Pranita Chougale
Pranita Chougale
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Learning something new with practice simultaneously is a great experience with Tech Amplifiers. Thank you so much for this python workshop.
Snehal Inamdar
Snehal Inamdar
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5 day Python Workshop was really good I learned so many new things from that Workshop. That was helpful to add new things in my knowledge..
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FAQ'S

Among the various programming languages available in the market, Python has made its way to become one of the fastest-growing languages. 

Python Interview Questions for Freshers

1. What is Python? What are the benefits of using Python

Python is a high-level, interpreted, general-purpose programming language. Being a general-purpose language, it can be used to build almost any type of application with the right tools/libraries. Additionally, python supports objects, modules, threads, exception-handling, and automatic memory management which help in modelling real-world problems and building applications to solve these problems.

Benefits of using Python:

  • Python is a general-purpose programming language that has a simple, easy-to-learn syntax that emphasizes readability and therefore reduces the cost of program maintenance. Moreover, the language is capable of scripting, is completely open-source, and supports third-party packages encouraging modularity and code reuse.
  • Its high-level data structures, combined with dynamic typing and dynamic binding, attract a huge community of developers for Rapid Application Development and deployment.

2. What is a dynamically typed language?

Before we understand a dynamically typed language, we should learn about what typing is. Typing refers to type-checking in programming languages. In a strongly-typed language, such as Python, “1” + 2 will result in a type error since these languages don’t allow for “type-coercion” (implicit conversion of data types). On the other hand, a weakly-typed language, such as Javascript, will simply output “12” as result.

Type-checking can be done at two stages –

  • Static – Data Types are checked before execution.
  • Dynamic – Data Types are checked during execution.

Python is an interpreted language, executes each statement line by line and thus type-checking is done on the fly, during execution. Hence, Python is a Dynamically Typed Language.

3. What is an Interpreted language?

An Interpreted language executes its statements line by line. Languages such as Python, Javascript, R, PHP, and Ruby are prime examples of Interpreted languages. Programs written in an interpreted language runs directly from the source code, with no intermediary compilation step.

4. What is PEP 8 and why is it important?

PEP stands for Python Enhancement Proposal. A PEP is an official design document providing information to the Python community, or describing a new feature for Python or its processes. PEP 8 is especially important since it documents the style guidelines for Python Code. Apparently contributing to the Python open-source community requires you to follow these style guidelines sincerely and strictly.

5. What is Scope in Python?

Every object in Python functions within a scope. A scope is a block of code where an object in Python remains relevant. Namespaces uniquely identify all the objects inside a program. However, these namespaces also have a scope defined for them where you could use their objects without any prefix. A few examples of scope created during code execution in Python are as follows:

  • local scope refers to the local objects available in the current function.
  • global scope refers to the objects available throughout the code execution since their inception.
  • module-level scope refers to the global objects of the current module accessible in the program.
  • An outermost scope refers to all the built-in names callable in the program. The objects in this scope are searched last to find the name referenced.

Note: Local scope objects can be synced with global scope objects using keywords such as global.

6. What are lists and tuples? What is the key difference between the two?

Lists and Tuples are both sequence data types that can store a collection of objects in Python. The objects stored in both sequences can have different data types. Lists are represented with square brackets ['sara', 6, 0.19], while tuples are represented with parantheses ('ansh', 5, 0.97).
But what is the real difference between the two? The key difference between the two is that while lists are mutabletuples on the other hand are immutable objects. This means that lists can be modified, appended or sliced on the go but tuples remain constant and cannot be modified in any manner. You can run the following example on Python IDLE to confirm the difference:

my_tuple = ('sara', 6, 5, 0.97)
my_list = ['sara', 6, 5, 0.97]
print(my_tuple[0])     # output => 'sara'
print(my_list[0])     # output => 'sara'
my_tuple[0] = 'ansh'    # modifying tuple => throws an error
my_list[0] = 'ansh'    # modifying list => list modified
print(my_tuple[0])     # output => 'sara'
print(my_list[0])     # output => 'ansh'

7. What are the common built-in data types in Python?

There are several built-in data types in Python. Although, Python doesn’t require data types to be defined explicitly during variable declarations type errors are likely to occur if the knowledge of data types and their compatibility with each other are neglected. Python provides type() and isinstance() functions to check the type of these variables. These data types can be grouped into the following categories-

  • None Type:
    None keyword represents the null values in Python. Boolean equality operation can be performed using these NoneType objects.
Class NameDescription
NoneTypeRepresents the NULL values in Python.
  • Numeric Types:
    There are three distinct numeric types – integers, floating-point numbers, and complex numbers. Additionally, booleans are a sub-type of integers.
Class NameDescription
intStores integer literals including hex, octal and binary numbers as integers
floatStores literals containing decimal values and/or exponent signs as floating-point numbers
complexStores complex numbers in the form (A + Bj) and has attributes: real and imag
boolStores boolean value (True or False).

Note: The standard library also includes fractions to store rational numbers and decimal to store floating-point numbers with user-defined precision.

  • Sequence Types:
    According to Python Docs, there are three basic Sequence Types – lists, tuples, and range objects. Sequence types have the in and not in operators defined for their traversing their elements. These operators share the same priority as the comparison operations.
Class NameDescription
listMutable sequence used to store collection of items.
tupleImmutable sequence used to store collection of items.
rangeRepresents an immutable sequence of numbers generated during execution.
strImmutable sequence of Unicode code points to store textual data.

Note: The standard library also includes additional types for processing:
1. Binary data such as bytearray bytes memoryview , and
2. Text strings such as str.

  • Mapping Types:

A mapping object can map hashable values to random objects in Python. Mappings objects are mutable and there is currently only one standard mapping type, the dictionary.

Class Name Description
dictStores comma-separated list of key: value pairs
  • Set Types:
    Currently, Python has two built-in set types – set and frozensetset type is mutable and supports methods like add() and remove()frozenset type is immutable and can’t be modified after creation.
Class NameDescription
setMutable unordered collection of distinct hashable objects.
frozensetImmutable collection of distinct hashable objects.

Note: set is mutable and thus cannot be used as key for a dictionary. On the other hand, frozenset is immutable and thus, hashable, and can be used as a dictionary key or as an element of another set.

  • Modules:
    Module is an additional built-in type supported by the Python Interpreter. It supports one special operation, i.e., attribute accessmymod.myobj, where mymod is a module and myobj references a name defined in m’s symbol table. The module’s symbol table resides in a very special attribute of the module __dict__, but direct assignment to this module is neither possible nor recommended.
  • Callable Types:
    Callable types are the types to which function call can be applied. They can be user-defined functions, instance methods, generator functions, and some other built-in functions, methods and classes.
     the callable types.

Syllabus

Introduction
Social Engineering
Foot-printing
Vulnerability Assessment
Scanning
Enumeration
System Hacking
Malware Analysis
Sniffing
Session hijacking
Denial of Service
Web Server Hacking
Web Application Hacking
SQL Injection
Wireless network security
Mobile platform security
IDS, Firewall, Honeypot
Cloud computing
IoT Security
Cryptography
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