Python Certification Training (beginner to expert)

Learn Python programming language from scratch to advanced level. Prepare for Python Certification exam & job interviews

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Description

A warm welcome to the Python Programming course by Uplatz.


Python is a high-level, general-purpose and a very popular programming language. Python programming language is being used in web development, Machine Learning applications, along with all cutting edge technology in software industry.

Python is a popular programming language. It was created by Guido van Rossum, and released in 1991. It is used in web development, data science, creating software prototypes, and so on. Fortunately for beginners, Python has simple easy-to-use syntax. Python is one of the high-level, interpreted and general-purpose programming languages that is easy to use, comprehensive and powerful.

Python is a widely used dynamic programming language compared to other languages such as Java, Perl, PHP, and Ruby. It is often termed as a scripting language. It provides support for automatic memory management, multiple programming paradigms, and implements the basic concepts of object-oriented programming (OOP). Python programming language is supported with a huge and broad standard library. The library of Python provides support for many Internet protocols such as FTP, and IMAP. It has a unique syntax, which makes it different from other programming languages like Java, C++, and C.

Python has some great applications. It is widely used in the development of frameworks such as Django and Pyramid, and advanced content management systems like Plone and Django CMS.


Key areas where Python is used

  • web development (server-side)

  • analytics and data visualization

  • software development

  • mathematics & statistics

  • system scripting


Features of Python programming language

  1. Python is currently the most widely used multi-purpose, high-level programming language.

  2. Python allows programming in object-oriented paradigms.

  3. Python programs generally are smaller than other programming languages like Java. Programmers have to type relatively less and indentation requirement of the language, makes them readable all the time.

  4. Python language is being used by top companies across all sectors such as Walmart, Google, Amazon, Tesla, etc.

  5. The biggest strength of Python is huge collection of standard library which can be used for the following:

    • Machine Learning

    • GUI Applications (like Kivy, Tkinter, PyQt etc. )

    • Web frameworks like Django (used by YouTube, Instagram, Dropbox)

    • Image processing (like OpenCV, Pillow)

    • Web scraping (like Scrapy, BeautifulSoup, Selenium)

    • Test frameworks

    • Multimedia

    • Scientific computing

    • Text processing, and more


Uplatz provides this comprehensive course on Python programming. This Python course will help you to learn Python programming language from scratch.


Python Programming - Course Syllabus


Introduction to Python Programming

  • What is Python Programming?

  • History of Python Programming

  • Features of Python Programming

  • Why to learn Python Programming

  • Application of Python Programming


Setup of Python Programming

  • Getting Python

  • Installation of Python

  • Getting started with the first Python program

  • Running the first Python Program


Variables and Data Types

  • What is a variable?

  • Declaration of variable

  • Variable assignment

  • Data types in Python

  • Checking Data type

  • Data types Conversion

  • Python programs for Variables and Data Types


Python Identifiers, Keywords, Reading Input, Output Formatting

  • What is an Identifier?

  • Keywords

  • Reading Input

  • Taking multiple inputs from user

  • Output Formatting

  • Python end parameter


Operators in Python

  • Operators and types of operators

      a) Arithmetic Operators

      b) Relational Operators

      c) Assignment Operators

      d) Logical Operators

      e) Membership Operators

      f) Identity Operators

     g) Bitwise Operators

  • Python programs for all types of operators


Decision Making

  • Introduction to Decision making

  • Types of decision-making statements

  • Introduction, syntax, flowchart and programs for

      a) if statement

      b) if…else statement

      c) elif statement


Loops

  • Introduction to loops

  • Types of loops

      a) for loop

      b) while loop

      c) infinite loop

      d) nested loop

  • Break, continue and pass statement

  • Python programs for all types of loops


Numbers

  • Number Type Conversion

  • Random Number Functions

  • Trigonometric Functions

  • Mathematical Constants


Strings

  • Accessing Values in Strings

  • Updating Strings

  • String Special Operators

  • Built-in String Methods


Lists

  • Python Lists

  • Accessing Values in Lists

  • Updating Lists

  • Deleting List Elements

  • Basic List Operations

  • Built-in List Functions and Methods


Tuples

  • Accessing Values in Tuples

  • Updating Tuples

  • Deleting Tuple Elements

  • Basic Tuples Operations

  • Built-in Tuple Functions

  • Difference between list and tuple


Dictionary

  • Accessing Values in Dictionary

  • Updating Dictionary

  • Delete Dictionary Elements

  • Properties of Dictionary Keys

  • Built-in Dictionary Functions and Methods


Date and Time

  • What is Tick?

  • What is TimeTuple?

  • Getting Current Time

  • Getting Formatted Time

  • Getting Calendar for a Month


Functions

  • Defining a Function

  • Calling a Function

  • Passing by Reference versus Passing by Value

  • Ways to write function

  • Types of functions

  • Anonymous function

  • Recursive Function


Modules

  • What is a module?

  • Creating a module

  • The import Statement

  • The ‘from’ import Statement

  • Renaming a module

  • Using the dir() function

  • The ‘from’ import * Statement

  • Locating Modules


Files I/O

  • Printing to the Screen

  • Opening and Closing Files

  • The open Function

  • The file Object Attributes

  • The close() Method

  • Reading and Writing Files

  • The write() Method

  • The read() Method

  • More Operations on Files


Exceptions

  • What is Exception?

  • Handling an Exception

  • The except Clause with No Exceptions

  • The except Clause with Multiple Exceptions

  • The try-finally Clause

  • List of Standard Exception

  • Raising an Exception

  • Argument of an Exception


Classes and Objects

  • What is an Object?

  • What is a Class?

  • Creating a Class

  • Creating an object

  • Self in Python

  • __init__ method

  • Examples


Regular Expression

  • What is a Regular Expression?

  • Metacharacters

  • match() function

  • search() function

  • re match() vs re search()

  • findall() function

  • split() function

  • sub() function


GUI Programming

  • What is a GUI Programming?

  • Tkinter Programming

  • Tkinter Widgets

  • Building Your First Python GUI program with Tkinter

What You Will Learn!

  • Learn Python Programming from scratch to the most advanced level
  • Prepare for Python Certifications and Job Interviews
  • What is Python and Python Programming
  • Why to learn Python
  • History, Features, Application of Python Programming
  • Setup of Python Programming - Getting and Installing Python
  • Create and run the first Python Program
  • Variables and Data Types
  • Python Identifiers, Keywords, Reading Input, Output Formatting
  • Operators in Python - arithmetic, relational, assignment, logical, membership, identify, bitwise
  • Python programs for all types of operators
  • Decision making and Types of decision-making statements
  • Syntax, flowchart and programs for if, if..else, elif
  • Loops - Introduction, Types of loop (for, while, infinite, nested)
  • Break, Continue, Pass statements
  • Python programs for all types of loops
  • Numbers - Number Type Conversions, Random Number Functions, Trigonometric Functions
  • Mathematical Constants
  • Strings - Accessing values in Strings, Updating Strings, String Special Operators, Built-in String Methods
  • Lists - Python Lists, Accessing values in Lists, Updating Lists, Deleting List Elements, Basic List Operations
  • Built-in List Functions & Methods
  • Tuples - Accessing values in Tuples, Updating Tuples, Deleting Tuple Elements, Basic Tuple Operations
  • Built-in Tuple Functions, Difference between List and Tuple
  • Dictionary - Accessing values in Dictionary, Updating Dictionary, Delete Dictionary Elements
  • Properties of Dictionary Keys, Built-in Dictionary Functions and Methods
  • Data and Time - Tick, TimeTuple, Getting current time, Getting formatted time, Getting Calendar for a month
  • Functions - Defining a Function, Calling a Function, Passing by Reference vs. Passing by Value
  • Ways to write Function, Types of Functions, Anonymous Functions, Recursive Functions
  • Modules - What is a Module, Creating a Module, import Statement, The 'from' import Statement
  • Renaming and Locating Modules
  • Files I/O - Printing to the Screen, Opening and Closing Files, The open Function, The file Object Attributes
  • The close() Method, Reading & Writing Files, the write() Method, the read() Method, More operations on Files
  • Exceptions - What is Exception, Handling an Exception
  • The except Clause with No Exceptions and with Multiple Exceptions
  • The try-finally Clause, List of Standard Exceptions, Raising an Exception, Argument of an Exception
  • Classes and Objects - What is a Class, What is an Object, Creating a Class, Creating an Object, Self in Python, _init_ Method, Examples
  • Regular Expression - What is Regular Expression, Metacharacters, match(), search(), rematch() vs. research(), findall(), split(), sub()
  • GUI Programming - What is GUI Programming, Tkinter Programming, Tkinter Widgets
  • Building Your First Python GUI program with Tkinter

Who Should Attend!

  • Python Developers and Software Engineers
  • Application Developers (Python, R)
  • Anyone wishing to learn Programming in Python
  • Python Developers - Web, JavaScript
  • Data Scientists and Lead Data Scientists
  • Data Engineers
  • Data Analytics Consultants
  • Data Consultants & Analysts
  • Technical Architects
  • Newbies and Beginners aspiring to make a career in Data Science, Machine Learning, Programming
  • Machine Learning Engineers & AI Engineers
  • Software Programmers
  • Python Engineers