Introduction to Python Programming

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Free Download Introduction to Python Programming
Published 10/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 48m | Size: 1.63 GB
The Fundamentals to get you started with the Python programming language

What you'll learn
The history and origins of python
Working with variables and different data types
Understand iteration methods such as loops and conditional statements
Understand the basics concepts of Object-oriented programming (OOB)
Requirements
No programming experience required just a keen motivation to learn technical concepts
Description
Are you tired of feeling left behind by the digital world? Ready to jump into the fastest-growing and most in-demand skill in the modern economy? Python is the ideal starting point! Its clean, intuitive syntax reads almost like English, making it the perfect first language for aspiring Developers, Data Scientists, and Analysts.This course, Python for Beginners, is engineered to take you from absolute beginner to writing functional code efficiently and effectively. Forget slogging through thick, academic textbooks. We focus on hands-on, project-based learning to ensure you not only understand the concepts but can immediately apply them to solve real-world problems.What You Will Master:You'll establish a rock-solid foundation by mastering all the core programming concepts used by professionals every day:Syntax and Variables: Set up your environment and understand how to store information using variables and core data types (strings, integers, floats).Control Flow: Direct the logic of your programs using powerful if/elif/else statements and various types of loops (for and while).Essential Data Structures: Master the professional use of Lists, Dictionaries, and Tuples-the building blocks of complex Python programs.Functions: Learn to write modular, reusable code to keep your projects clean and scalable.File I/O and Error Handling: Work with external files and learn the professional way to gracefully manage unexpected errors.This is a no-prerequisite course. All you need is a computer and the motivation to learn the skill that can completely transform your career. By the end, you'll have built multiple portfolio-ready mini-projects and possess the confidence to tackle more advanced topics.Enroll now and take the crucial first step toward becoming a skilled, confident Python programmer!
Who this course is for
Beginner python developer
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Introduction to Python Programming
Last updated 2023-01-22
Duration: 01:28:18 | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 534 MB
Genre: eLearning | Language: English [Auto]​

a course for beginners
What you'll learn
Students will learn about programming in Python
Students will learn how to write psuedocode
Students will learn about data types in Python
Students will learn about variables in Python
Students will learn about basic operations in Python
Students will learn about assignments in Python
Students will learn about conditional statements in Python
Students will learn about loops in Python
Requirements
The student will need a personal computer that has the Python programming language installed on it.
Description
Introduction to Python: a course for beginners is a beginner-level program designed to teach students the basics of the Python programming language.
Python is a popular programming language for beginners because:-
Python's syntax is simple, clean, and easy to read, making it a great choice for beginners who are just learning to code.
Python is a high-level programming language, which means that it abstracts away many of the low-level details of computer systems and provides an easy-to-use interface for common tasks.
Python has a built-in interactive shell which allows the programmer to write and execute code line by line, helping beginners to easily test and check their code.
Python has a large and active community of users and developers who created a wide range of libraries and modules for various tasks, such as data analysis, machine learning, web development, and more.
Python is a versatile programming language used in many fields such as data science, machine learning, artificial intelligence, web development, finance, game development, and many more.
The simplicity of the Python language and the ease of use of its libraries and modules make it easy to learn and understand, often used as a "first language" in many schools, colleges and universities.
The course covers fundamental programming concepts such as data types, variables, loops, and functions. Students will learn how to use Python to write simple programs and perform common programming tasks such as working with data and making decisions. The course is typically hands-on, with students completing programming practice questions to hone their skills. It is designed for students who have little or no prior programming experience and are looking to learn the basics of the Python language.
Introduction to Python: a course for beginners covers the following topics:-
1. Introduction to programming
2. Writing psuedocode
3. Different programming languages
4. Why Python is a good programming language for beginners
5. Data types in Python
6. Variables in Python
7. Basic operations in Python
8. Assignments in Python
9. Conditional statements in Python
10. Loops in Python

Who this course is for:
This course is suitable for individuals who would like to learn how to program in Python

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Introduction To Python
Published 7/2024
Duration: 3h25m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 2.84 GB
Genre: eLearning | Language: English​

Python for Geospatial Data Science

What you'll learn
Gain a comprehensive introduction to Python programming, starting from the very basics and building a strong foundation.
Understand the core programming concepts and get an overview of essential analytical libraries in Python.
Acquire the crucial Python skills needed for data science, presented in a streamlined manner to avoid overwhelming unnecessary information.
Benefit from tailored examples in geospatial and urban analytics, providing a unique and practical learning experience.

Requirements
No programming experience is needed. You will learn everything you need to know.

Description
About
Are you eager to learn Python but overwhelmed by the endless hours of tutorials packed with excess information? After nearly a decade of hands-on experience in data science with Python, I've crafted my first introductory course to focus on what truly matters. This streamlined, no-nonsense course covers only the essentials useful on a daily basis, ensuring you gain practical, relevant knowledge without the fluff. It's a solid foundation to jump-start your career in Python-based analytics and build on in the long run.
This course covers seven core topics and includes hands-on exercises to test your skills. While the notebook topics are generic and aimed at giving you a good foundation for further deep dives, I have tailored the examples to the geospatial analytics field wherever possible. Don't worry if you're not into GIS-you'll still be able to follow along and learn a lot. However, if you are into GIS, these examples will be particularly relevant and familiar. Check out the outline below!
Benefits
Here are the main benefits of this course, making it an excellent choice for anyone planning to get on-board with Python:
Focused Content: Concentrates on essential Python skills without overwhelming you with unnecessary information.
Practical Application: Emphasizes practical, daily-use knowledge, making it highly relevant for real-world scenarios.
Geospatial Analytics Examples: Provides examples from the geospatial analytics field, enhancing learning for those interested in GIS.
Final Exercises: Includes a set of final exercises to test and reinforce your skills.
Expert Instruction: Taught by an experienced data scientist with nearly a decade of hands-on Python experience.
No Fluff: A streamlined, no-nonsense approach ensures efficient learning.
Foundation for Growth: Offers a solid foundation you can build on for more advanced Python and data science topics. Comes with cheat sheets for every section.
Accessible to All: Designed to be approachable even if you're not into GIS, ensuring broad applicability.
What you get
The pre-recorded course comes with multiple videos and Jupyter Notebooks:
9 Videos: Totaling about 200 minutes of content
9 Chapter-level Jupyter Notebooks: One for each chapter
Summary Notebook: A comprehensive notebook combining all chapters
Exercise Notebooks: Class-version, detailed solutions, and an empty version for you to practice the final exercises
Who this course is for:
Every GIS expert who wants to get on board with Python
Everyone interested in learning Python-based data analytics fast
Every junior data scientist interested in the language of spatial analytics

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