Comprehensive Python Programming Course with Hands-on Coding

Comprehensive Python Programming Course with Hands-on Coding | Udemy
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Genre: eLearning

What you’ll 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

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 Rossum developed 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:

Open source language

Simple and easy to learn the language

Scalable and portable language

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 like Plone and Django CMS. 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 modify Python code written by their coworkers. This tutorial provides a comprehensive and in-depth introduction to the Python language.

Python Programming – Course Objectives

Understand what is Python and where is it used

History and background of Python programming language

Learn the basic syntax and data structures of Python

Understand programming basics including functions, variables, and data types

Manipulate and output data using arrays, loops, and operators

Have a solid understanding of Python syntax

Master the fundamentals of writing Python scripts

Learn core Python scripting elements such as variables and flow control structures

Discover how to work with lists and sequence data

Write Python functions to facilitate code reuse

Use Python to read and write files

Make their code robust by handling errors and exceptions properly

Work with the Python standard library

Explore Python’s object-oriented features

Search text using regular expressions

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.

Who this course is for:
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

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