Python has established itself as one of the most commonly used programming languages. It is a very powerful language, which makes it relatively easy to write programs from simple automation scripts to more fully featured applications. In bioinformatics python has become widely used both as a language to write scripts and applications, but also, via packages like pandas, numpy and seaborn as an environment for data analysis, competing with more focussed languages such as R. In this course we focus on the use of python to develop simple scripts and larger applications. These can be used for simple data processing and aggreagation, for automating repeated tasks or to write larger user-facing command line programs. We start from the ground up, and make no assumption of any previous programming experience.
The Python Software Foundation has announced Python 2 will be phased out of development and support in 2020. For this reason, We will use Python 3 and Jupyter notebook through the post. To be more specific, my python version is :
The GIAC Python Coder (GPYC) certification validates a practitioner's understanding of core programming concepts, and the ability to write and analyze working code using the Python programming language. GPYC certification holders have demonstrated knowledge of common python libraries, creating custom tools, collecting information about a system or network, interacting with websites and databases, and automating testing.
The GIAC Python Coder (GPYC) certification validates a practitioner's\n understanding of core programming concepts, and the ability to write \nand analyze working code using the Python programming language. GPYC \ncertification holders have demonstrated knowledge of common python \nlibraries, creating custom tools, collecting information about a system \nor network, interacting with websites and databases, and automating \ntesting.
Python has huge career opportunities in the IT industry. Almost every other IT company, be it a startup or a Multi-National Company uses python for varied applications. So, if you have good expertise in python, you will be in demand for a wide range of jobs in different domains such as machine learning, cloud infrastructure, website designing, testing, and many more.
This is one of the best tutorials when it comes to learning python online, From basics to variables to loops and statements in python, everything is covered here. Best tutorial for all your python needs.
Course Syllabus: This course introduces students to the art of computational problem solving using Python: It covers some of the essential Python datatypes such as Strings, Lists, Tuples, Sets and Dictionaries. It covers OOP concepts, Exceptions, and some of the advanced topics in python such as GUI Programming, Database Programming, Networking, Multiprocessing and Multithreading, etc. It gives an extra focus on some of the essential libraries required for data analysis such as NumPy, Pandas, Data Handling, Regular Expressions, Database Access, Data Manipulation, Data collection and sharing with various sources using standard formats including Simple text files, CSV files, JSON files and XML files. It provides students with the needed skills that will enable them to make productive use of computational techniques, including some of the data science tools and methods that are used for computational models and data interpretations. Students will develop confidence in their ability to apply programming techniques to problems in a broad range of computational concepts and practices. This course uses the Python 3 programming language (at least 3.6).
PowerPoint is the popular presentation software commonly used for office and educational slide shows. Creating presentations manually is time consuming. This python based project can create PowerPoint presentation automatically within few minutes. You will learn to create Python project using Pycharm and Python version 3 and deploy it for Microsoft Windows using Pyinstaller.
Installing OpenCV OpenCV can be installed in Windows, MacOS or any GNU/Linux distribution by using a pip command. The first command is to install the main module packages and the second one is for the full package pip install opencv-contrib-python-headless pip install opencv-python 781b155fdc