Python is a popular, back-end coding language. Both easy-to-learn and easy-to-use, it’s considered one of the top ten coding languages in the world. Python is used to build software programs, web applications, online tools, and games. You can also use Python to customize popular computer software programs like Salesforce.
Created by Guido Van Rossum in 1991, Python was designed for general purpose programming. It’s most similar to other programming languages like C, Java, and Perl. Python is managed by the Python Software Foundation, and its most recent update was Python 3 in December 2017.
The first half of this course covers the fundamentals of Python. Students will explore how to write a program, learn how to think like a programmer and understand how to structure and develop their code. This course will teach students fundamental computational thinking processes that are universal amongst all coding languages.
The second half of the course delves into data science using Python. Data science is a combination of mathematics, statistics, and computer science, making it an excellent companion for the computation-based Python language. Data science can be divided into three main sections, one being the collection of valuable data, the second being the analysis of data, and the third being the visualization of data. In this course, students will learn all three using Python and extensive libraries.
Why Learn Python at NextGen?
Easy to Learn: Python has a very intuitive coding style with its limited need for lexical syntax and English-like keywords. Unlike Java, Python code does not require punctuation after every line of code. This allows students to master Python quicker because they can focus on the concepts and paradigms and do not have to focus on the syntax.
Used by Many Companies: Even though Python is a great beginner language, it is also extremely powerful. It is currently being used by the world’s top organization and companies such as NASA, Amazon, Google, Netflix, Facebook, and Apple. Along with its power, Python is remarkably efficient. Python can achieve with 100 lines of code what Java or C++ can do in 500 lines.
Extensive Libraries: Another major benefit is the versatility of the language due to the libraries, packages, and frameworks that were created in conjunction with Python. Without libraries such as Pandas, NumPy, and Matplotlib, Python would not be useable for Data Science. Additionally, Django and Flask are two frameworks that allow Python to be used for web development.
Community: A language is only as strong and useful as the number of people who are coding in it. Python has just surpassed 35 million downloads per year and an estimated 5 million programmers worldwide are using Python as their preferred language. This massive adoption of Python by programmers is a testament to its impressive strength and speed. It has also led to an extraordinarily valuable social network of Python developers; from searching for debugging solutions on Stack Overflow or Github to finding a job in a new city, the Python social network reigns supreme.
Who should attend our Python Summer courses?
Our python course is designed primarily for high school students but college students are welcomed as well! There is no math or coding pre-requisite for this course.
This course is a great introduction to the world of programming and computer science. Anyone who is interested in business, technology, entrepreneurship, journalism, and many other different jobs would benefit from the skills and concepts taught in this class. Python is an incredible language to learn because it is being used by so many different types of working professionals today, from programmers to academics to financiers.
Python Course Detailed Overview
- Overview of Coding & Programming: Learn how the Python language works, in addition to basic computer organization and architecture.
- Introduction to Programming: Learn Python basics, syntax, dynamic language, write your first program, learn how to compile and run programs in the terminal commands, and learn how to use Sublime Text.
- Variables, Data Types, and Operators: Learn how to assign and declare variables, explore primitive variable types such as integers, strings, Booleans, and floats, mathematical operators, and/or operators, and proper programming practices such as commenting and variable naming.
- Control Flow: Learn how to structure code, if-else statements, for loops, while loops, global and local variables, nested for loops, switch statements.
- Functions: Learn how to create repeatable code using functions, parameters, arguments, return value, the motivation behind functions.
- Lists, Strings, Tuples, and Dictionaries: Learn how to store data using lists, declaring an empty list, index, appending to a list, using loops and lists, manipulate strings, and understand how key-value pairing works.
- Modular & Object-Oriented Programming: Learn about classes, encapsulation, inheritance, super-class, polymorphism, and learn how to navigate packages and understand abstract classes and method overloading.
- Numerical Python: Numpy, arrays, datatype, shape, indexing, slicing, masking, linear algebra, convolution, Fourier.
- Statistical Modeling: Scipy, Discrete and continuous probability distributions, sampling, histograms, and linear modeling
- Pandas: Importing CSV and Excel files, series, data frame, shaping, merging, and renaming, grouping, manipulation, real-time data integration
- Visualization: Matplotlib, Seaborn, scatter plots, histograms, fig and ax, maps, images
- Advanced Topics: Neural networks, artificial intelligence, machine learning, and decision trees.