Seven Claws Source Code: 7 Essential Python Skills to Advance in Python

Learn these Python skills to outshine other developers and become a better version of yourself.

Over the past few years, Python has steadily gained popularity as one of the most popular programming languages ​​in the industry for a range of tasks. It has been slowly taking over the world of software development and machine learning, and not a day goes by without mentioning it in the media. This blog will learn exactly why learning Python is essential, and the skills you need to excel in Python.

Why learn Python?

For similar purposes, programmers use Python as a simpler and more efficient alternative to languages ​​such as C, R, and Java. As a result, Python has become the language of choice for many applications.

Among its most popular uses, Python is used for data mining, data science, artificial intelligence, machine learning, web development, web frameworks, embedded systems, graphic design applications, games, web development, product development, rapid application development , tests, automated scripts, etc.

Now let's move on to the Python skills needed to progress in Python programming.

Core Python expertise

The core fundamentals of any programming language must be mastered before diving into the technical field. Likewise, when it comes to Python, there are some concepts that you must understand well because they form the basis of the language itself. These include:

• data structure
• Variables and data types
• OOP Concepts (Object Oriented Programming)
• exception handling
• iterator
• file handling
• dynamo

If you don't know where to start, the internet is full of useful and valuable resources. Also, Python tutorials and reference books will give you some detailed information on these topics, so you can even use them to learn more.

Good understanding of the Python framework

For developers, Python frameworks are a lifesaver. Their main advantage is their ability to create a faster development process by eliminating concerns about low-level details such as sockets, protocols, and threads. There are several Python frameworks to choose from, including Django, Flask, Web2Py, and Bottle.

A good Python web developer can make a difference when using either of the two web frameworks, Django and Flask. With Django, you can make your web applications look clean, logical, and functional. Meanwhile, Flask is a Python microframework for building applications.

data science

Data science is more of an art form. Once you start digging deeper, starting with high school math, you should know some prerequisites - namely basic probability, statistics, etc. The other most common aspects are as follows:

• data analysis
• Good SQL knowledge
• data visualization
• Use Python packages like MatPlotlib and NumPy for data science.
• Data wrangling and data cleansing

Artificial Intelligence and Machine Learning

Artificial Intelligence (AI) and Machine Learning (ML) are two technologies that are making waves in the industry. Part of the reason for this is that these two concepts are exploding, with so many entrepreneurs looking to them for growth and development, more businesses are popping up everywhere you see it. To stay ahead in the field, you need to understand key core concepts in machine learning and artificial intelligence, such as clustering, regression analysis, and the capabilities of neural networks.

Python library

According to the Python Package Index, Python contains about 379,390 items. There's a good chance that whatever you're trying to do is already done and ready to use, with documentation attached.

Since you use packages every day, as a Python developer, you should be skilled enough to find, research, and properly implement packages provided by the Python ecosystem. Python libraries cover multiple topics including artificial intelligence, machine learning, data science, and more. The best part is that the Python community is very active and enthusiastic, and you can easily get help.

deep learning

Deep learning also plays a key role similar to machine learning and artificial intelligence. It's part of machine learning, and like the human brain, it's a system that can detect patterns very well. Once you understand what deep learning is, you should be able to apply your newfound knowledge to create deep learning-driven systems such as:

• automatic speech recognition
• Image Identification
• natural language processing
• image restoration
• recommender systems, etc.

Object Relational Mapper

Object Relational Mappers (ORMs) are essentially library classes that help transfer data between relational databases and Python objects. These libraries allow developers to directly change data in the database using Python code instead of SQL. Many ORM libraries for Python are available, including SQLAlchemy, Peewee ORM, Django ORM, PonyORM, and Tortoise ORM.

Additionally, ORM libraries can help you save a lot of development time while providing the flexibility to switch to another relational database if needed.