Complete Python Developer
in 2022:
Zero to Mastery

4.7 (200 reviews)

Learn A-Z everything about Python, from the basics, to advanced topics
like Python GUI, Python Data Analysis, and more!


2,983 enrolled on this course
Core Python Course

Duration

4 Months

Assignments

Daily

Courses

Both Online & Offline

Course Fee

See Prices

Overview

Python is a general-purpose programming language that is becoming ever more popular for data science. Companies worldwide are using Python to harvest insights from their data and gain a competitive edge.

It has a wide range of applications ranging from Web development, scientific and mathematical computing to desktop graphical user Interfaces. However, it is primarily used in the back-end programming. It also plays a very crucial role in software testing, control and management. Python is also incredibly useful at integration of tasks. Websites like YouTube, Quora, Flipkart, Slack, Uber, Cloudera, Instagram, Zenefits and Spotify are created using Python.

We provide the best in the class corporate training program for Python that will lead you from your classrooms right into the corporate world of real-time programming.

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What you'll learn

  • Be able to program in Python professionally
  • Create a portfolio of 100 Python projects to apply for developer jobs
  • Be able to use Python for data science and machine learning
  • Build GUIs and Desktop applications with Python
  • Master the Python programming language by building 100 projects over 100 days
  • Be able to build fully fledged websites and web apps with Python
  • Build games like Blackjack, Pong and Snake using Python
  • Learn to use modern frameworks like Selenium, Beautiful Soup, Request, Flask, Pandas, NumPy, Scikit Learn, Plotly, Matplotlib, Seaborn,

    • Our Instructor

    Chandrapal Singh Deora

    Co-Founder at Code Planet
    Technologies

    Parth Maheshwari

    Co-Founder at Code Planet
    Technologies

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    Course Content

    Language Fundamentals
    • Introducion
    • Features of Python
    • Limitations of Python
    • Flavours of Python
    • Python Versions
    • Identifiers
    • Data Types
      • int
      • float
      • complex
      • bool
      • str
      • bytes
      • bytearray
      • range
      • list
      • tuple
      • set
      • frozenset
      • dict
      • None
    • Type Casting
    • Fundamental Data Types vs Immutability
    • Escape Characters
    • 2 Constants
    Operators
    • Arithmetic Operators
    • Relational Operators or Comparison Operators
    • Logical Operators
    • Bitwise Operators
    • Assignment Operators
    • Special Operators
    • Identity Operators
    • Membership Operators
    • Operator Precedence
    • Mathematical Functions(Math Module)
    Input ad Output Statements
    • raw_input()
    • input()
    • eval()
    • command line arguments
    Flow Control
    • Introduction
    • Conditional Statements
    • Iterative Statements
    • Transfer Statements
    String Data Type
    • Introducion
    • creation of List Objects
    • accessing elements of List
    • List vs mutability
    • traversing the elements of List
    • important functions of List
      • To get information about list
      • Manipulating elements of List
      • Ordering elements of List
    • Aliasing and Cloning of List objects
    • Using Mathematical operators for List Objects
    • Membership operators
    • clear() function
    • Nested Lists
    • Nested List as Matrix
    • List Comprehensions
    Tuple Data Structure
    • Introduction
    • Tuple creation
    • Accessing elements of tuple
    • Tuple vs immutability
    • Mathematical operators for tuple
    • Important functions of Tuple
    • Tuple Packing and Unpacking
    • Tuple Comprehension
    • Differences between List and Tuple
    Set Data Structure
    • Introduction
    • Creation of Set objects
    • Important functions of set
    • Mathematical operations on the Set
    • Membership operators
    • Set Comprehension
    Dictionary Date Structure
    • Introduction
    • Creation of Dictionary objects
    • Access data from Dictionary
    • Update Dictionaries
    • Delete elements from Dictionary
    • Important functions of Dictionary
    • Dictionary Comprehension
    • Important programs
    Functions
    • Introduction
    • Types of Functions
    • Parameters
    • Return statement
    • Returning multiple values from a function
    • Types of arguments
    • Case study
    • Types of Variables
    • Recursive Functions
    • Anonymous Functions
    • lambda Function
    • filter() function
    • map() function
    • reduce() function
    • Function Aliasing
    • Nested Functions
    • Function Decorators
    • Decorator Chaining
    • 10.19 Generators
    • 10.20 Advantage of Generator Functions
    • 10.21 Generators vs Normal Collections wrt performance
    • 10.22 Generators vs Normal Collections wrt Memory Utilization
    Modules
    • Introduction
    • Renaming a module at the time of import(module aliasing)
    • Various possibilties of import
    • Reloading a Module
    • Finding members of module by using dir() function
    • The Special variable __name__
    • Working with math module
    • working with random module
    Packages
    • Introduction
    • Advantages
    Exception Handling
    • Types of errors
    • Exception
    • Default Exception Handling
    • Exception Hierarchy
    • Customized Exception Handling by using try-except
    • Control flow in try-except
    • print exception information
    • try with multiple except blocks
    • Single except block that can handle multiple exceptions
    • Default except block
    • finally block
    • Control flow in try-except-finally
    • Nested try-except-finally blocks
    • Control flow in nested try-except-finally
    • else block with try-except-finally
    • various possible combinations of try-except-else-finally
    • Types of Exceptions
    • Define and Raise Customized Exceptions
    File Handling
    • Introduction
    • Opening a File
    • Closing a File
    • Various properties of File Object
    • Writing data to text files
    • Reading Character Data from text files
    • With statement
    • seek() and tell() methods
    • checking a particular file exists or not
    • Handling Binary Data
    • Handling csv files
    • zipping and unzipping files
    • working with Directories
    • difference between listdir() and walk()
    • get information about a file
    • Pickling and Unpickling of Objects
    Object Oriented Programming (OOPs)
    • Class
    • Define a class
    • Object
    • Reference Variable
    • Self variable
    • Constructor
    • Difference between Methods and Constructors
    • Types of Variables
    • Instance Variables
      • Where we can declare instance variables
      • how to access instance variables
      • how to delete instance variables
    • static Variables
      • Instance Variable vs Static Variable
      • places to declare static variables
      • access static variables
      • modify the value of static variable
      • delete static variables of a class
      • Local Variables
      • Types of Methods
      • Instance Methods
      • Class Methods
      • Static Methods
      • Passing members of one class to another class
      • Inner classes
      • Garbage Collection
      • Destructors
      • find number of references of an object
    OOPs - Part-2
    • Using members of one class inside another class
      • By Composition(Has-A Relationship)
      • By Inheritance(IS-A Relationship)
      • IS-A vs HAS-A Relationship
      • Composition vs Aggregation
    • Types of Inheritance
      • Single Inheritance
      • Multi level Inheritance
      • Hierarchical Inheritance
      • Multiple Inheritance
      • Hybrid Inheritance
      • Cyclic Inheritance
      • Method Resolution Order(MRO)
      • Finding mro by using C3 algorithm
      • super()
    OOPs - Part-3(Polymorphism)
    • Introduction
    • Duck Typing Philosophy of Python
    • Overloading
      • Operator Overloading
      • Method Overloading
      • Constructors Overloading
    • Overriding
      • Method overriding
      • Constructor Overriding
    OOPs - Part-4
    • Abstract Method
    • Abstract Class
    • Interface
    • Public,Private and Protected Members
    • __str__() method
    • Difference between str() and repr() functions
    • Small Banking Application
    Python Database Programming
    • Storage Areas
    • Databases
    • Limitations of Databases
    • Python Database Programming
    • Standard Steps for Python Database Programming
    • Working with Oracle Database
    • Working with Mysql database
    Python Logging
    • Logging the Exceptions
    • Logging levels
    • How to implement Logging
    • How to write Python program exception information to the log file
    Python Debugging by Using Assertions
    • Debugging Python Program by using assert keyword
    • Types of assert statements
    • Exception Handling vs Assertions
    Multi Threading
    • Introduction
    • Types of Multi Tasking
      • The ways of Creating Thread in Python
      • Creating a Thread without using any class
      • Creating a Thread by extending Thread class
      • Creating a Thread without extending Thread class
      • Thread Identification Number(ident)
      • active_count()
      • enumerate() function
      • isAlive()
      • join()
      • Daemon Threads
      • Default nature
      • Synchronization
      • Implementing synchronization in python
      • by using Lock
      • by using RLock
      • by using Semaphore
      • Implementing synchronization in python
      • by using Lock
      • by using RLock
      • by using Semaphore
      • Inter Thread Communication
      • by using Event Object
      • by using Condition Object
      • by using Queue Object
    • Cases
    Python Logging Module
    • Introduction
    • Logging Levels
    • How to implement Logging
    • format log messages
    • change date and time format
    • write Python program exceptions to the log file
    • Problems with root logger
    • Need of Our own customized logger
    • Advanced logging Module Features
    • Logger with Configuration File
    • Creation of Custom Logger
    • Advantages of customized logger
    Regular Expressions
    • Introduction
    • Character classes
    • Pre defined Character classes
    • Quantifiers
    • Important function of re module
    • Various programs
    • Web Scraping by using Regular Expressions