Comprehensive Python Programming Course with Hands-on Coding
Comprehensive Python Programming Course with Hands-on Coding, available at $19.99, has an average rating of 4.3, with 88 lectures, 6 quizzes, based on 269 reviews, and has 33373 subscribers.
You will learn about Get started with Python Programming from Scratch Introduction to Python Basic Elements of Python Installation of Python Input and Output Statements in Python Data Types and Operators in Python Operators, Functions, Strings in Python Type Conversion in Python Basic Programming in Python Introduction to Math Module in Python Conditional Statements and Looping in Python Lists, Tuples, Sets, Dictionaries in Python Built-in Methods, Lambda Functions in Python File Handling, Exception Handling in Python Python Programs and Programming Examples in Python Operator Precedence in Python Recursion in Python Object Oriented Programming in Python Time Module, Boolean in Python Miscellaneous Topics This course is ideal for individuals who are Software Engineers and Programmers or Python Developers or Web Developers and Full Stack Developers or Beginners who want to enter the world of Python programming or Data Scientists and Data Engineers or Analytics Consultants and Data Analysts or Python Quant Systems Developers – FinTech (Financial Mathematics) or Anyone aspiring for a career in programming / analytics / data science / machine learning or Machine Learning Engineers and Developers It is particularly useful for Software Engineers and Programmers or Python Developers or Web Developers and Full Stack Developers or Beginners who want to enter the world of Python programming or Data Scientists and Data Engineers or Analytics Consultants and Data Analysts or Python Quant Systems Developers – FinTech (Financial Mathematics) or Anyone aspiring for a career in programming / analytics / data science / machine learning or Machine Learning Engineers and Developers.
Enroll now: Comprehensive Python Programming Course with Hands-on Coding
Summary
Title: Comprehensive Python Programming Course with Hands-on Coding
Price: $19.99
Average Rating: 4.3
Number of Lectures: 88
Number of Quizzes: 6
Number of Published Lectures: 88
Number of Published Quizzes: 6
Number of Curriculum Items: 94
Number of Published Curriculum Objects: 94
Original Price: $19.99
Quality Status: approved
Status: Live
What You Will Learn
- Get started with Python Programming from Scratch
- Introduction to Python
- Basic Elements of Python
- Installation of Python
- Input and Output Statements in Python
- Data Types and Operators in Python
- Operators, Functions, Strings in Python
- Type Conversion in Python
- Basic Programming in Python
- Introduction to Math Module in Python
- Conditional Statements and Looping in Python
- Lists, Tuples, Sets, Dictionaries in Python
- Built-in Methods, Lambda Functions in Python
- File Handling, Exception Handling in Python
- Python Programs and Programming Examples in Python
- Operator Precedence in Python
- Recursion in Python
- Object Oriented Programming in Python
- Time Module, Boolean in Python
- Miscellaneous Topics
Who Should Attend
- Software Engineers and Programmers
- Python Developers
- Web Developers and Full Stack Developers
- Beginners who want to enter the world of Python programming
- Data Scientists and Data Engineers
- Analytics Consultants and Data Analysts
- Python Quant Systems Developers – FinTech (Financial Mathematics)
- Anyone aspiring for a career in programming / analytics / data science / machine learning
- Machine Learning Engineers and Developers
Target Audiences
- Software Engineers and Programmers
- Python Developers
- Web Developers and Full Stack Developers
- Beginners who want to enter the world of Python programming
- Data Scientists and Data Engineers
- Analytics Consultants and Data Analysts
- Python Quant Systems Developers – FinTech (Financial Mathematics)
- Anyone aspiring for a career in programming / analytics / data science / machine learning
- Machine Learning Engineers and Developers
A warm welcome to the Pythoncourse by Uplatz.
Python is one of the popular high-level, interpreted and general-purpose programming languages that is easy to use, comprehensive and powerful. In 1991, Guido van Rossumdeveloped the Python programming language.
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 is very simple, yet incredibly powerful programming language. You can use it for writing web and desktop apps, scripts, and more. This course teaches you the basics of Python syntax, functions, creating console and web apps, and distribution.
Python is a strongly-typed procedural language along with support for 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. Some other amazing features of Python are as follows:
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Open source language
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Simple and easy to learn the language
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Scalable and portable language
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High-level language
Python has some great applications. It is widely used in the development of frameworks such as Django and Pyramid, and advanced content management systems. Python is an excellent first language for new programmers. It can be used for everything from video games to data visualization to machine learning.
Along with being the fastest growing programming language, Python is the language of choice for data science and it is widely used to build web application backends. In this remote course, you will get an in-depth hands-on understanding of Python fundamentals from a beginner to advanced level. This online course is for anyone new to Python with an interest in programming.
Python is the leading language of choice for many data scientists. Python has grown in popularity within the field due to the availability of many excellent libraries focused on data science (of which NumPy and Pandas are two of the most well-known) and data visualisation (like Matplotlib and Seaborn). Python really made Data crunching fun with all its numerous available libraries. Ipython with JupyterLab is another form of Python that improves the usage of Python in the field of data science.
This is a complete end-to-end course on Python programming provided by Uplatz. The goal of this course is to cover foundational aspects of Python programming with an emphasis on script writing, data manipulation, and program organization. By the end of this course, students should be able to start writing useful Python programs on their own or be able to understand and review the Python code written by their coworkers. This Python course provides a comprehensive and in-depth introduction to the Python language. You’ll learn to represent and store data using Python data types and variables, and use conditionals and loops to control the flow of your programs. You will be able to harness the power of complex data structures like lists, sets, dictionaries, and tuples to store collections of related data. Learning from this Python training, you will be able to define and document your own custom functions, write scripts, and handle errors. Also, you will learn to find and use modules in the Python Standard Library and other third-party libraries.
Python Programming – Course Objectives
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Understand what is Python and where is it used
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History and background of Python programming language
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Learn the basic syntax and data structures of Python
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Understand programming basics including functions, variables, and data types
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Manipulate and output data using arrays, loops, and operators
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Have a solid understanding of Python syntax
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Master the fundamentals of writing Python scripts
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Learn core Python scripting elements such as variables and flow control structures
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Discover how to work with lists and sequence data
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Write Python functions to facilitate code reuse
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Use Python to read and write files
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Make their code robust by handling errors and exceptions properly
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Work with the Python standard library
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Explore Python’s object-oriented features
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Search text using regular expressions
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Develop the ability to write database applications in Python
Comprehensive Python Programming Course with Hands-on Coding – Course Syllabus
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.
Course Curriculum
Chapter 1: Introduction to Python
Lecture 1: Introduction to Python
Chapter 2: Basic Elements of Python
Lecture 1: Basic Elements of Python
Chapter 3: Installation of Python
Lecture 1: Installation of Python
Chapter 4: Input and Output Statements in Python
Lecture 1: Input and Output Statements in Python
Chapter 5: Data Types in Python
Lecture 1: Data Types in Python
Chapter 6: Operators in Python
Lecture 1: Operators in Python – part 1
Lecture 2: Operators in Python – part 2
Chapter 7: Type Conversion in Python
Lecture 1: Type Conversion in Python
Chapter 8: Basic Programming in Python
Lecture 1: Basic Programming in Python – part 1
Lecture 2: Basic Programming in Python – part 2
Chapter 9: Math Module in Python
Lecture 1: Math Module in Python
Chapter 10: Conditional Statements and Nested If Else Statements
Lecture 1: Conditional Statements – part 1
Lecture 2: Conditional Statements – part 2
Lecture 3: Conditional Statements – part 3
Lecture 4: Nested If Else Statements
Chapter 11: Looping, Break and Continue Keywords, Prime Number Program, While and Nested For
Lecture 1: Looping in Python
Lecture 2: Break and Continue Keywords in Python
Lecture 3: Prime Number Program in Python
Lecture 4: While Loop in Python
Lecture 5: Nested For Loop in Python – part 1
Lecture 6: Nested For Loop in Python – part 2
Chapter 12: Functions, Return Keyword, Global & Local Variables, Global & Local Keywords
Lecture 1: Functions in Python
Lecture 2: Passing Arguments to Functions
Lecture 3: Return Keyword in Python
Lecture 4: Calling a Function – part 1
Lecture 5: Calling a Function – part 2
Lecture 6: Calling a Function – part 3
Lecture 7: Functions – Arbitrary Arguments
Lecture 8: Functions – Keyword Arguments
Lecture 9: Functions – Default Arguments
Lecture 10: Global and Local Variables
Lecture 11: Global and Local Keywords
Chapter 13: Strings, String Methods, String Functions, String Indexing in Python
Lecture 1: Strings in Python
Lecture 2: String Methods in Python
Lecture 3: String Functions in Python
Lecture 4: String Indexing in Python
Chapter 14: Lists in Python
Lecture 1: Introduction to Lists
Lecture 2: Basics of Lists in Python
Lecture 3: List Methods
Lecture 4: Linear Search on List
Lecture 5: Biggest and Smallest Number in the List
Lecture 6: Difference between 2 Lists
Chapter 15: Tuples in Python
Lecture 1: Tuples in Python
Chapter 16: Sets in Python
Lecture 1: Introduction to Sets in Python
Lecture 2: Sets Operations
Lecture 3: Sets Examples
Chapter 17: Dictionaries in Python
Lecture 1: Introduction to Dictionaries
Lecture 2: Creating and Updating Dictionaries
Lecture 3: Deleting Items in Dictionary
Lecture 4: Values() and Items() in Dictionary
Lecture 5: Dictionary Methods
Chapter 18: Built-in Methods in Python
Lecture 1: Built-in Methods in Python
Chapter 19: Lambda Function
Lecture 1: Lambda Function
Chapter 20: File Handling in Python
Lecture 1: File Handling in Python – part 1
Lecture 2: File Handling in Python – part 2
Chapter 21: Exception Handling in Python
Lecture 1: Exception Handling in Python
Lecture 2: Exception Handing in Python Examples
Chapter 22: Python Programs and Bubble Sort
Lecture 1: Python Programs – part 1
Lecture 2: Python Programs – part 2
Lecture 3: Python Programs – part 3
Lecture 4: Python Programs – part 4
Lecture 5: Bubble Sort
Chapter 23: Operator Precedence in Python
Lecture 1: Operator Precedence in Python – part 1
Lecture 2: Operator Precedence in Python – part 2
Chapter 24: Recursion in Python
Lecture 1: Recursion in Python
Chapter 25: Binary Search in Python
Lecture 1: Binary Search in Python – part 1
Lecture 2: Binary Search in Python – part 2
Chapter 26: Object-oriented Programming in Python
Lecture 1: Object-oriented Programming in Python – part 1
Lecture 2: Object-oriented Programming in Python – part 2
Lecture 3: Difference between OOPS and Procedural Programming
Lecture 4: OOPS Programs – part 1
Lecture 5: OOPS Programs – part 2
Lecture 6: Object Creation in Python
Lecture 7: OOPS Terminology and Functions
Instructors
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Uplatz Training
Fastest growing global Technology & Cloud Training Provider
Rating Distribution
- 1 stars: 7 votes
- 2 stars: 12 votes
- 3 stars: 41 votes
- 4 stars: 106 votes
- 5 stars: 103 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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