This Basic to Intermediate training course emphasis the core libraries and most useful libraries developed by the Python. Python drives businesses and is used by programmers as one of the most popular programming languages.

Code: atc-python-programming

Duration: 5.0 days

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  • Have a fundamental understanding of the Python programming language. 
  • Have the skills and understanding of Python to confidently apply for Python programming jobs. 
  • Acquire the pre-requisite Python skills to move into specific branches - Machine Learning, Data Science, etc..
  • Add the Python Object-Oriented Programming (OOP) skills to your résumé. 
  • Understand how to create your own Python programs. 
  • Learn Python from experienced professional software developers. 
  • Understand both Python 2 and Python 3.


Module 1: Introduction to Python 

  • What is Python? 
  • Why Python? 
  • Who Uses Python? 
  • Characteristics of Python 
  • History of Python
  • What is PSF?
  • Python Versions
  • How to Download and Install Python
  • Install Python with Diff IDEs

Module 2: Different Modes in PYTHON 

  • Execute the Script 
  • Interactive and Script Mode 
  • Python File Extensions 
  • Learn Python Main Function 
  • Python Comments 
  • Quit the Python Shell 
  • Shell as a Simple Calculator 
  • Order of operations 
  • Multiline Statements 
  • Quotations in Python

Module 3: PYTHON NEW IDEs 

  • PyCharm IDE 
  • How to Work on PyCharm 
  • PyCharm Components 
  • Debugging process in PyCharm 
  • PYTHON Install Anaconda 
  • What is Anaconda? 
  • Coding Environments 
  • Jupyter Notebook 
  • What is PIP?

Module 4: Variables in Python 

  • What is Variable? 
  • Variables and Constants in Python 
  • Variable,Variable names and Value 
  • Mnemonic Variable Names 
  • Values and Types 
  • What Does “Type” Mean? 
  • Multiple Assignment 
  • Python different numerical types 
  • Standard Data Types 
  • Operators and Operands 
  • Order of Operations 
  • Swap variables 
  • Python Mathematics 
  • Type Conversion 
  • Mutable Versus Immutable Objects

Module 5: String Handling 

  • What is string? 
  • String operations and indices 
  • Basic String Operations 
  • String Functions, Methods 
  • Delete a string 
  • String Multiplication and concatenation 
  • Python Keywords, Identifiers and Literals 
  • String Formatting Operator 
  • Structuring with indentation in Python 
  • Built-in String Methods 
  • Define Data Structure? 
  • Data Structures in PYTHON

Module 6: Python Operators and Operands 

  • Arithmetic, Relational Operators and Comparison Operators 
  • Python Assignment Operators 
  • Short hand Assignment Operators 
  • Logical Operators or Bitwise Operators 
  • Membership Operators 
  • Identity Operators 
  • Operator precedence 
  • Evaluating Expressions

Module 7: Python Conditional Statements 

  • How to use “if condition” in conditional structures 
  • if statement (One-Way Decisions) 
  • if .. else statement (Two-way Decisions) 
  • How to use “else condition” 
  • if .. elif .. else statement (Multi-way) 
  • When “else condition” does not work 
  • How to use “elif” condition 
  • How to execute conditional statement with minimal code 
  • Nested IF Statement

Module 8: Python LOOPS 

  • How to use “While Loop” and “For Loop” 
  • How to use For Loop for set of other things besides numbers 
  • Break statements, Continue statement, Enumerate function for For Loop 
  • Practical Example 
  • How to use for loop to repeat the same statement over and again 
  • Break, continue statements

Module 9: Learning Python Strings 

  • Accessing Values in Strings 
  • Various String Operators 
  • Some more examples 
  • Python String replace() Method 
  • Changing upper and lower case strings
  • Using “join” function for the string 
  • Reversing String 
  • Split Strings

Module 10: Sequence or Collections in PYTHON 

  • Strings 
  • Unicode Strings 
  • Lists 
  • Tuples 
  • buffers 
  • xrange

Module 11: Python Lists 

  • Lists are mutable 
  • Getting to Lists 
  • List indices 
  • Traversing a list 
  • List operations, slices and methods 
  • Map, filter and reduce 
  • Deleting elements 
  • Lists and strings

Module 12: Python TUPLE 

  • Advantages of Tuple over List 
  • Packing and Unpacking 
  • Comparing tuples 
  • Creating nested tuple 
  • Using tuples as keys in dictionaries 
  • Deleting Tuples 
  • Slicing of Tuple 
  • Tuple Membership Test 
  • Built-in functions with Tuple 
  • Dotted Charts

Module 13: Python Sets 

  • How to create a set? 
  • Iteration Over Sets 
  • Python Set Methods 
  • Python Set Operations 
  • Union of sets 
  • Built-in Functions with Set 
  • Python Frozenset

Module 14: Python Dictionary 

  • How to create a dictionary? 
  • Python Dictionary Methods 
  • Copying dictionary 
  • Updating Dictionary 
  • Delete Keys from the dictionary 
  • Dictionary items() Method 
  • Sorting the Dictionary 
  • Python Dictionary in-built Functions 
  • Dictionary len() Method 
  • Variable Types 
  • Python List cmp() Method 
  • Dictionary Str(dict)

Module 15: Python Functions 

  • What is a function? 
  • How to define and call a function in Python 
  • Types of Functions 
  • Significance of Indentation (Space) in Python 
  • How Function Return Value? 
  • Types of Arguments in Functions 
  • Default Arguments and Non-Default Arguments 
  • Keyword Argument and Non-keyword Arguments 
  • Arbitrary Arguments 
  • Rules to define a function in Python 
  • Various Forms of Function Arguments 
  • Scope and Lifetime of variables 
  • Nested Functions 
  • Call By Value, Call by Reference 
  • Anonymous Functions/Lambda functions 
  • Passing functions to function 
  • map(), filter(), reduce() functions 
  • What is a Docstring?

Advanced Python

Module 16:Python Modules

  • What is a Module?
  • Types of Modules 
  • The import Statement 
  • The from…import Statement 
  • ..import * Statement 
  • Underscores in Python 
  • The dir( ) Function 
  • Creating User defined Modules 
  • Command line Arguments 
  • Python Module Search Path

Module 17: Packages in Python 

  • What is a Package? 
  • Introduction to Packages? 
  • py file 
  • Importing module from a package 
  • Creating a Package 
  • Creating Sub Package 
  • Importing from Sub-Packages 
  • Popular Python Packages

Module 18: Python Date and Time 

  • How to Use Date & DateTime Class 
  • How to Format Time Output 
  • How to use Timedelta Objects 
  • Calendar in Python 
  • datetime classes in Python 
  • How to Format Time Output? 
  • The Time Module 
  • Python Calendar Module 
  • Python Text Calendar, HTML Calendar Class 
  • Unix Date and Time Commands

Module 19: File Handling 

  • What is a data, Information File? 
  • File Objects 
  • File Different Modes and Object Attributes 
  • How to create a Text Fil and Append Data to a File and Read a File 
  • Closing a file 
  • Read, read line ,read lines, write, write lines…!! 
  • Renaming and Deleting Files 
  • Directories in Python 
  • Working with CSV files and CSV Module 
  • Handling IO Exceptions

Module 20: Python Exception Handling 

  • Python Errors 
  • Common RunTime Errors in PYTHON 
  • Abnormal termination 
  • Chain of importance Of Exception 
  • Exception Handling 
  • Try … Except 
  • Try .. Except .. else 
  • Try … finally
  • Argument of an Exception 
  • Python Custom Exceptions
  • Ignore Errors 
  • Assertions 
  • UsingAssertionsEffectively

Module 21: More Advanced PYTHON

  • Python Iterators, Generators, Closures, Decorators and Python @property

Module 22: Python Class and Objects 

  • Introduction to OOPs Programming 
  • Object Oriented Programming System 
  • OOPS Principles 
  • Define Classes 
  • Creating Objects 
  • Class variables and Instance Variables Constructors 
  • Basic concept of Object and Classes 
  • Access Modifiers 
  • How to define Python classes 
  • Python Namespace 
  • Self-variable in python 
  • Garbage Collection 
  • What is Inheritance? Types of Inheritance? 
  • How Inheritance works? 
  • Python Multiple Inheritance 
  • Overloading and Over Riding 
  • Polymorphism
  • Abstraction 
  • Encapsulation 
  • Built-In Class Attributes

Module 23: Python Regular Expressions 

  • What is Regular Expression? 
  • Regular Expression Syntax 
  • Understanding Regular Expressions 
  • Regular Expression Patterns 
  • Literal characters 
  • Repetition Cases 
  • Example of w+ and ^ Expression 
  • Example of \s expression in re.split function 
  • Using regular expression methods 
  • Using re.match() 
  • Finding Pattern in Text ( 
  • Using re.findall for text 
  • Python Flags 
  • Methods of Regular Expressions

Module 24: Python XML Parser 

  • What is XML? 
  • Difference between XML and HTML and XML, JSON, Gson 
  • How to Parse XML and Create XML Node 
  • Python vs JAVA 
  • XML and HTML Module 24: Python-Data Base Communication 
  • What is Database? Types of Databases? 
  • What is DBMS?, RDBMS? 
  • Oracle 
  • SQL server 
  • Executing DML Operations..!!


The Python Programming 1 course is aimed at anyone who wants to learn Python as a first language, and developers/engineers who want to migrate to Python from another language, particularly those with little or no object-oriented knowledge.


This course can be useful to those that are new to programming. To ensure your success in the course, you should have at least a foundational knowledge of personal computer use.


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  • Broad Career opportunities
  • Worldwide recognition from leaders
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