Bundle Multi (4-in-1) - Python Programming

Uplatz presents this comprehensive 4-in-1 Python Programming bundle, designed to take you from beginner to advanced levels. The course is self-paced, featuring pre-recorded video lectures, and includes a Course Completion Certificate upon successful completion.

1. Python Programming for Beginners – Master the fundamentals.

2. Python Programming (Basic to Advanced) – Build a strong foundation and progress to complex concepts.

3. Python Programming (Advanced) – Dive deeper into expert-level techniques.

4. GUI Programming in Python – Learn to develop interactive applications.

Python is a versatile, high-level programming language widely used in:

• Web development (backend, frameworks like Django & Flask)

• Data Science & AI (machine learning, data analysis)

• Automation & scripting (workflow efficiency)

• Software prototyping & GUI development

• Simple & readable syntax – Ideal for beginners and professionals.

• Supports multiple paradigms – Object-Oriented, Functional, and Procedural Programming.

• Rich standard library & frameworks – NumPy, Pandas, Tkinter, and more.

• Cross-platform compatibility – Runs on Windows, macOS, and Linux.

• Core Python concepts: Data types, functions, loops, and file handling

• Object-Oriented Programming (OOP): Polymorphism, inheritance, operator overloading

• Advanced Python: NumPy, exception handling, multithreading

• GUI development with Tkinter – Build desktop applications

• Real-world projects to apply your skills

• Lifetime access to all training materials.

• Hands-on exercises & industry-relevant projects.

• Certificate of Completion to validate your expertise.

Enroll now and master Python programming—from basics to advanced applications!

Python is a powerful, high-level programming language known for its simplicity and versatility. It is widely used across various industries due to its readability, extensive libraries, and strong community support. Below, we explore how Python works, its standout features, and its real-world applications.

Python is an interpreted language, meaning it executes code line by line rather than requiring prior compilation. This makes development faster and debugging easier. Here’s a breakdown of how Python operates:

• Interpreted Execution: Python code is processed by an interpreter (such as CPython or PyPy), which converts it into machine-readable instructions on the fly.

• Dynamic Typing: Unlike statically typed languages (e.g., Java, C++), Python determines variable types at runtime, allowing for flexible and concise coding.

• Automatic Memory Management: Python handles memory allocation and garbage collection automatically, reducing the risk of memory leaks.

• Indentation-Based Structure: Python uses whitespace (indentation) to define code blocks, enforcing clean and readable syntax.

• Easy to learn – Simple, readable syntax similar to English

• Versatile – Used for web, data, AI, automation, and more

• Large community – Strong support and plenty of learning resources

• Cross-platform – Works on Windows, Mac, Linux, and others

• Rich libraries – Ready-made tools for almost any task

• Fast development – Write and test code quickly

• Free & open-source – No cost to use or modify

• Scalable – Handles small scripts to large applications

• Great for beginners – Perfect first programming language

• In-demand skill – Widely used in industry and research

Uplatz Certificate of Completion

Digital certificate - Included

Python Programming for Beginners - Course Curriculum

1. INTRODUCTION TO PYTHON: why learn python, feature of python, importance of learning python, application of python programming.

2. BASIC ELEMENTS OF PYTHON: keywords, datatypes, identifiers, operators, statements.

3. INSTALLATION OF PYTHON.

4. INPUT AND OUTPUT STATEMENTS IN PYTHON.

5. DATA TYPES IN PYTHON: int, float, strings, lists, tuples, dictionaries.

6. OPERATORS IN PYTHON: arithmetic, logical, assignment, relational, bitwise, membership operators.

7. TYPE CONVERSION IN PYTHON: implicit and explicit conversion in python.

8. BASIC PROGRAMMING IN PYTHON.

9. INTRODUCTION TO MATH MODULE IN PYTHON.

10. CONDITIONAL STATEMENTS IN PYTHON: simple if, simple if-else, multiple if-else, nested if-else.

11. LOOPING IN PYTHON: for loop, while loop in python, break and continue keywords in python, nested for loop in python.

12. FUNCTIONS IN PYTHON: declaration and definition of functions in python, passing arguments in functions, return keyword, function calling, arbitrary arguments, keywords arguments, default arguments in python.

13. STRINGS IN PYTHON: basics of strings, string functions.

14. LISTS IN PYTHON: introduction, list functions in python, list programs.

15. TUPLES IN PYTHON: basics, tuple functions.

16. SETS IN PYTHON: basics, set operations.

17. DICTIONARIES IN PYTHON: basics, functions in dictionaries, examples.

18. BUILT-IN METHODS IN PYTHON.

19. LAMBDA FUNCTIONS IN PYTHON.

20. FILE HANDLING IN PYTHON.

21. EXCEPTION HANDLING IN PYTHON.

22. PYTHON PROGRAM EXAMPLES.

23. OPERATOR PRECEDENCE IN PYTHON.

24. RECURSION IN PYTHON.

25. PROGRAMMING EXAMPLES IN PYTHON.

26. OBJECT ORIENTED PROGRAMMING IN PYTHON: class, objects, inheritance, polymorphism, terminologies, class attributes, object attributes, examples.

27. TIME MODULE IN PYTHON.

28. BOOLEAN IN PYTHON.

29. MISCELLANEOUS TOPICS.

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Python Programming (basic to advanced) - Course Curriculum

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

• 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

• 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

Modules

• What is a module?

• Creating a module

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

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Python Programming (advanced) - Course Curriculum

1. INTRODUCTION TO NUMPY

2. NUMPY TUTORIAL BASICS

3. NUMPY ATTRIBUTES AND FUNCTIONS

4. CREATING ARRAYS FROM EXISTING DATA

5. CREATING ARRAYS FROM RANGES

6. INDEXING AND SLICING IN NUMPY

7. ADVANCED SLICING IN NUMPY

8. APPEND AND RESIZE FUNCTIONS

9. NDITER AND BROADCASTING

10. NUMPY BROADCASTING

11. NDITER FUNCTION

12. ARRAY MANIPULATION FUNCTIONS

13. NUMPY UNIQUE()

14. NUMPY DELETE()

15. NUMPY INSERT FUNCTION

16. NUMPY RAVEL AND SWAPAXES()

17. SPLIT FUNCTION

18. HSPLIT FUNCTION

19. VSPLIT FUNCTION

20. LEFTSHIFT AND RIGHTSHIFT FUNCTIONS

21. NUMPY TRIGONOMETRIC FUNCTIONS

22. NUMPY ROUND FUNCTIONS

23. NUMPY ARITHMATIC FUNCTIONS

24. NUMPY POWER AND RECIPROCAL FUNCTIONS

25. NUMPY MOD FUNCTION

26. NUMPY IMAG() AND REAL() FUNCTIONS

27. NUMPY CONCATENATE()

28. NUMPY STATISTICAL FUNCTIONS

29. STATISTICAL FUNCTIONS

30. NUMPY AVERAGE FUNCTION

31. NUMPY SEARCH SORT FUNCTIONS

32. SORT FUNCTION

33. NUMPY SORT FUNCTION

34. NUMPY ARGSORT()

35. NONZERO AND WHERE FUNCTIONS

36. EXTRACT FUNCTION

37. NUMPY ARGMAX ARGMIN()

38. BYTESWAP COPIES AND VIEWS

39. NUMPY STRING FUNCTIONS

40. NUMPY CENTER FUNCTION

41. CAPITALIZE AND CENTER()

42. NUMPY TITLE FUNCTION

43. STRING FUNCTIONS

44. NUMPY MATRIX LIBRARY

45. NUMPY JOIN ARRAYS

46. LINEAR ALGEBRA

47. RANDOM MODULE

48. SECRETS MODULE

49. RANDOM MODULE UNIFORM FUNCTION

50. RANDOM MODULE GENERATE NUMBER EXCEPT K

51. SECRETSMODULE GENERATE TOKENS

52. RANDOM MODULE GENERATE BINARY STRING

53. NUMPY MODULE REVISE

54. NUMPY INDEXING

55. NUMPY BASIC OPERATIONS

56. NUMPY UNARY OPERATORS

57. BINARY OPERATORS IN NUMPY

58. NUMPY UNIVERSAL FUNCTIONS

59. NUMPY FILTER ARRAYS

60. NUMPY MODULE PROJECTS

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GUI Programming with Python - Course Curriculum

1. TKINTER BASICS

2. TKINTER PROGRAMMING

3. GUI PROGRAMMING

4. TKINTER WIDGETS

5. GEOMETRY MANAGEMENT

6. CALCULATRO APP USING TKINTER

7. AGE CALCULATOR APP

8. PERCENTILE CALCULATOR APP

9. COMPOUND INTEREST CALCULATOR APP

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This 4-in-1 Python Programming bundle course is designed for a wide range of learners. Here are the key groups who will benefit most:

1. Beginners with no coding experience

   • People starting their programming journey

   • Career switchers looking for an entry point into tech

   • Those who want to learn an easy yet powerful first language

2. Students and recent graduates

   • College students studying computer science or related fields

   • Graduates preparing for technical job interviews

   • Interns needing practical Python skills for their roles

3. Professionals transitioning to tech roles

   • Analysts, marketers, and managers wanting automation skills

   • IT professionals learning scripting for system administration

   • Non-technical employees moving into developer positions

4. Web developers expanding their skills

   • Frontend developers adding backend capabilities

   • Full-stack developers diversifying their toolkit

   • Web designers incorporating Python functionality

5. Data professionals and analysts

   • Excel/SQL users moving to Python for data analysis

   • Aspiring data scientists building foundational skills

   • Researchers needing programming for data processing

6. Software engineers and developers

   • Programmers adding Python to their language repertoire

   • Engineers working with IoT, embedded systems, or automation

   • Developers maintaining or modernizing legacy systems

7. Entrepreneurs and freelancers

   • Startup founders building prototypes and MVPs

   • Consultants offering Python development services

   • Freelancers expanding their service offerings

• The self-paced format accommodates busy schedules

• Practical projects help build real-world skills

• Comprehensive content covers from basics to advanced topics

• Completion certificate validates skills for career advancement

The course structure makes Python accessible to complete beginners while providing enough depth for professionals to enhance their capabilities. The bundled approach offers exceptional value by covering multiple aspects of Python programming in one package.

Passion and zeal to learn and succeed!

• Python Developer & Senior Python Developer
• Web Developer (Python)
• Data Scientist
• Machine Learning Engineer
• Test Automation Engineer - Python
• Full Stack Python Developer
• GUI Python Programmer
• Backend AWS Engineer (Python)
• Python Software Engineer
• Django (Python) Developer
• Python Quant Developer
• Data Visualization Analyst
• Application Developer
• Data Analyst
• Data Consultant
• Advanced Analytics Engineer

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