Name: Certificate in Python
Brand: Acme Collins School
Price: 3500.00 INR
Availability: InStock
Rating: 0 (24 reviews)

Job Credibility
Certification Valid for Life
Live Classes
Certificate of Completion

Mode of Exam : Online
Duration : 1 Hour
Multiple Choice Questions are asked
No. of Questions are asked : 50
Passing Marks : 25 (50%)
There is no negative marking

In Certificate In Python, you will learn python programming language from scratch to pro. We have designed this online certification in python for beginners by including each concept that you need to know. The duration of the course is 6 months.

What will you learn during the course?

In our python certification, you will know the introduction and fundamentals of the python programming language. Also, you will learn

Object-Oriented Programming
database
Advanced Python Development
Web Scraping
Algorithms
Data Structures, and more.

Why should you enrol in this course?

The Acme Collins School is a reputed online course provider at reasonable fees. If you join this course then you are mentored by an expert where you learn the essentials of Python programming from beginning to advance.

Why should you learn python?

This language is an open-source high-level language, which carries the cloud-based system. Learning Python can be a better choice as it offers the greatest coding facility to its users. This language is used by many companies, for example, Google, Facebook, Instagram, and more. If you want to become a web developer and build a strong career in this field then you must know python. This course will help you to make your path easier to become an expert.

What is its future scope?

Today and in the future, there are a lot of opportunities for developers who have expertise in python. Every day the number of job opportunities is increasing tremendously as this software has simple codes and fast readability. Python professionals get handsome pay from companies with extra perks.

Total: 210 lectures

Why Do People Use Python?
Is Python a "Scripting Language"?
Downside of the language
Who Uses Python Today?
What Can I do with Python?
How Is Python Supported?
What are Python's Technical Strengths?
How Does Python Stack Up to Language X?

Introducing the Python Interpreter
Program Execution
Execution Model Variations

The Interactive Prompt
System Command Lines and Files
Clicking File Icons
Module Imports and Reloads
Using exec to Run Module Files
The IDLE User Interface
Other IDEs
Other Launch Options
Which Option Should I Use?

Why Use Built-in Types?
Numbers
Strings
Lists
Dictionaries
Tuples
Files
Other Core Types

Numeric Type Basics
Numbers in Action
Other Numeric Types
Numeric Extensions

The Case of the Missing Declaration Statements
Shared References
Dynamic Typing Is Everywhere

String Literals
Strings in Action
String Methods
String Formatting Expressions
String Formatting Method Calls
General Type Categories

Lists
Lists in Action
Dictionaries
Dictionaries in Action
More Dictionaries Methods
A Language Table
Dictionary Usage Notes
Other Ways to Make Dictionaries
Dictionary Changes in Python 3.0

Tuples
Files
Types Categories Revisited
Object Flexibility
References Versus Copies
Comparisons, Equality, and Truth
Python's Type Hierarchies
Other Types in Python
Built-in Type Gotchas

Python Program Structure Revisited
A Tale of Two ifs
A Quick Example: Interactive Loops

Assignment Statements
Expression Statements
Print Operations

If Statements
Python Syntax Rules
Truth Tests
The if/else Ternary Expression

while loops
break, continue, pass, and the loop else
for loops
Loop Coding Techniques

Iterators: A first Look
List Comprehension: A first look
Other Iteration Contexts
New Iterables in Python 3.0
Other Iterator Topics

Python Documentation Sources
Common Coding Gotchas

Why Use Functions?
Coding Functions
def Statements
def Executes at Runtime
A First Example: Definitions and Calls
A Second Example: Intersecting Sequences

Python Scope Basics
The global Statement
Scopes and Nested Functions
The nonlocal Statement

Argument-Passing Basics
Special Argument-Matching Modes
The min Wakeup Call!
Generalized Set Functions
Emulating the python 3.0 print function

Function Design Concepts
Recursive Functions
Function Objects: Attributes and Annotations
Anonymous Functions: Lambda
Mapping Functions over Sequences: map
Functional Programming Tools: filter and reduce

List Comprehension Revisited: Functional Tools
Iterators Revisited: Generators
3.0 Comprehension Syntax Summary
Timing Iteration Alternatives
Function Gotchas

Why Use Modules?
Python Program Architecture
How Imports Work
The Module Search Path

Module Creation
Module Usage
Module Namespaces
Reloading Modules

Package Import Basics
Package Import Example
Why Use Package Imports?
Package Relative Imports

Data Hiding in Modules
Enabling Future Language Features
Mixed Usage Modes: _name_and _main_
Changing the Module Search Path
The as Extension for import and from
Module are Objects: Metaprograms
Importing Modules by Name String
Transitive Module Reloads
Module Design Concepts
Module Gotchas

Why Use Classes?
OOP from 30,000 Feet

Classes Generate Multiple Instance Objects
Classes are Customized by Inheritance
Classes Can Intercept Python Operators
The World's Simplest Python Class

The class Statement
Methods
Inheritance
Namespaces
Documentation Strings Revisited
Classes Versus Modules

The Basics
Indexing and Slicing: _getitem_and_setitem_
Index Iteration: _getitem_
Iterator Objects: _iter_and_next_
Membership: _contains_,_and_getitem_
Attribute Reference: _getattr_and_setattr_
String Representation:_repr_and_str_
Right-Side and In-Place Addition:_radd_and_iadd_
Call Expression:_call_
Comparisons:_It_,gt_,and Others
Boolean Tests:_bool_and_len_
Object Destruction:_del_

Python and OOP
OOP and Inheritance:"Is-a" Relationships
OOP and Composition:"Has-a" Relationships
OOP and Delegation:"Wrapper" Objects
Pseudoprivate Class Attributes
Methods are Objects: Bound or Unbound
Multiple Inheritance: "Mix-in" classes
Classes are Objects: Generic Object Factories
Other Design-Related Topics

Extending Built-in Types
The"New-Style" Class Model
New-Style Class Changes
New-Style Class Extensions
Static and Class Methods
Decorators and Metaclasses: Part 1
Class Gotchas

Why use Exceptions?
Exceptions: The Short Story

The try/except/else Statement
The try/finally Statement
Unified try/except/finally
The raise Statement
The assert Statement
with/as Context Managers

Exceptions: Back to the Future
Why Exception Hierarchies?
Built-in Exception Categories
Custom Print Displays
Custom Data and Behavior

Nesting Exception Handlers
Exception Idioms
Exception Design Tips and Gotchas
Core Language Summary

String Changes in 3.0
String Basics
Python 3.0 Strings in Action
Coding Unicode Strings
Using 3.0 Bytes Objects
Using Text and Binary Files
Using Unicode Files
Other String Tool Changes in 3.0

Why Manage Attributes ?
Properties
Descriptors
Example: Attribute Validations

What's a Decorator?
The Basics
Coding Functions Decorators
Coding Class Decorators
Managing Functions and Classes Directly
Example:"Private" and "Public"Attributes
Example: Validating Function Arguments

To Metaclass or Not to Metaclass
The Metaclass Model
Declaring Metaclasses
Coding Metaclasses
Example: Adding Methods to Classes
Example: Applying Decorators to Methods

₹3,500 ₹22,500

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Why should you enrol in this course?

Why should you learn python?

What is its future scope?

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