
Learn the basics of Python programming, how to use the language, and core concepts like variables, expressions, and an interpreter in portable programming environments.
Explore numbers, objects, and graphics in Python programming, including integers and fractions, basic program concepts, and using graphics libraries to read and write programs and create interfaces.
Learn how to work with sequences, lists, strings, and files in Python by mastering indexing, slicing, and basic manipulation to handle data efficiently.
Define functions in Python to reduce duplication and improve modularity, enabling reusable subprograms within a program. Learn how function definitions organize code and reduce duplication across programs.
Explore decision structures in Python by using conditions and nested blocks to control program flow, handle prints and warnings, and solve problems like finding the largest of three numbers.
Explore loop structures and boolean logic in Python, using input, sequences, and conditional execution to design and implement solutions.
Apply simulation and design principles to build modular Python programs that model real problems, use random processes, and analyze outcomes through testing and parameter exploration.
Define classes as blueprints for objects and create new instances from them. Learn to initialize attributes with parameters, such as center and radius, to build modular, readable programs.
Explore Python data collections, including lists, dictionaries, and sets, and learn to manipulate sequences, index items, and compute basic statistics like mean, median, and standard deviation.
Master object oriented design by identifying objects, defining class interfaces, and encapsulating behavior to reduce complexity. Explore how black boxes, service interfaces, and cooperative classes enable modular, readable Python programs.
Master object oriented design in Python by building a poker style game with lists, classes, and encapsulation. Implement text and graphical interfaces, manage days, values, and rules.
A warm welcome to the Python Programming in a nutshell course by Uplatz.
Python is a versatile programming language that is used for a variety of tasks. It's utilized in things like web development, data science, and software prototyping. Python, fortunately, provides a straightforward, easy-to-understand syntax for newcomers. Python is an ideal language for novices to learn to program because of this.
Python is a popular general-purpose programming language that is noted for its ease of use and large library of tools for data research and web development. The programming language is analogous to other high-level languages such as Java and JavaScript and supports many paradigms such as functional, procedural, and object-oriented programming.
Python jobs offer an incredibly broad scope, making it a valuable skill for diverse career paths. A summary of the opportunities that Python expertise unlocks:
Specializations:
Web Development: Python excels in building the server-side logic of web applications and integrating them with front-end elements.
Data Science and Machine Learning: Python allows you to analyse data, build machine learning models, and more.
Automation: Python automates repetitive tasks, streamlining workflows across various industries.
Scientific Computing: Python's numerical computing capabilities are ideal for scientific research and simulations.
Industries:
Python's versatility extends across numerous sectors, including finance, healthcare, and education.
Growth and Demand:
Due to its increasing applications and user-friendly nature, Python developer jobs are in high demand, with a promising growth trajectory.
By mastering Python, you can unlock a diverse and exciting range of career options across various specializations and industries.
This Python course will teach you the fundamentals of writing basic Python programs using the most common structures. It is not necessary to have any prior programming experience. By the conclusion of this course, you'll know the advantages of Python programming in data analysis, building applications, and be able to construct simple Python programs. In this Python programming for beginners course, you will understand how programming's building pieces work together, and be able to apply all of this knowledge to solve problems. This Python tutorial will walk you through the process of learning Python one step at a time.
The Python course concludes with demonstrating some real-world applications of Python and web scraping.
Course Objectives
Build simple Python programming components such as variables, conditional logic, loops, and functions are used to create basic programs
Know what Python is and why it's important in data visualization, analytics, and automation
Create automatic actions with simple Python scripts
Be able to use fundamental Python structures such as strings, lists, and dictionaries.
Create Python objects on your own
Create engaging and interactive apps using user input
Python Programming in a nutshell - Course Syllabus
Python Programming Introduction
Numbers - Objects - Graphics
Sequences - Lists - Strings - Files
Defining Functions
Decision Structures
Loop Structures and Boolean
Simulation and Design
Defining Classes
Data Collections
Object Oriented Design - part 1
Object Oriented Design - part 2
Algorithm Design and Recursion - part 1
Algorithm Design and Recursion - part 2
Dictionary - Modules - File IO
GUI Programming with Python
Python in Nutshell
NumPy and SciPy
High Performance Components of Python
Real-world Applications of Python
Web Scraping with Python