Preface
To be able to take orders and successfully complete Python-related projects, the editor believes that you need to achieve the following levels:
Basic knowledge: First, you need to master the basic knowledge of Python, including syntax, data types, control flow, etc. This will give you the basic ability to write Python code.
Data processing and analysis: It is very important to master Python's data processing and analysis libraries, such as Pandas and NumPy. You need to understand how to use these libraries to process and analyze data, perform operations such as data cleaning, transformation, and organization.
Databases and SQL: Most projects involve interacting with databases, so mastering databases and SQL is necessary. You need to learn to use Python's database interfaces, such as MySQLdb and psycopg2, to connect and operate various databases, and be able to write SQL query statements.
Web Development: If you want to accept projects related to web development, you need to learn Python's web frameworks such as Django and Flask. You need to master how to use these frameworks to build web applications, and understand the basic concepts and technologies of web development, such as HTTP protocol, RESTful API, etc.
Machine Learning and Deep Learning: If you want to accept projects related to Machine Learning and Deep Learning, you need to learn Python’s machine learning libraries such as Scikit-learn and TensorFlow. You'll need to know how to build, train, and evaluate machine learning models, and understand some common machine learning algorithms and techniques.
Big Data Processing: If you want to accept projects related to big data processing, you need to learn Python's big data processing frameworks such as Apache Hadoop and Apache Spark. You need to understand how to use these frameworks to process and analyze large-scale data, and understand some basic concepts and techniques of big data processing.
Project experience and practice: In addition to theoretical knowledge, project experience and practice are also very important. By participating in actual projects or practicing some small projects yourself, you can improve your practical application capabilities and be able to better understand and respond to project requirements when receiving orders.
Please note that your ability to take orders depends not only on your technical level, but also on your communication skills, problem-solving skills, project management skills, etc. Before taking an order, make sure you have sufficient technical skills and can communicate and collaborate effectively with the customer to ensure the successful completion of the project.
In short, to be able to accept orders and successfully complete Python-related projects, you need to have a certain technical level, including basic knowledge of Python, data processing and analysis, database and SQL, web development, machine learning and deep learning, and big data processing. Ability. By continuously improving your technical capabilities and project experience through learning and practice, you will be able to accept more challenging projects and provide customers with high-quality solutions.
1. Introduction to Python
The following content is the basic knowledge necessary for all application directions of Python. If you want to do crawlers, data analysis or artificial intelligence, you must first learn them. Anything high-end is built on a primitive foundation. By laying a good foundation, the road ahead will be more stable.All information is available for free at the end of the article！！！
Include:
Computer Basics
python basics
Python introductory video episode 600:
Watch zero-based learning videos. Watching videos is the fastest and most effective way to learn. It is easy to get started by following the teacher's ideas in the video, from basic to in-depth.
2. Python crawler
As a popular direction, crawlers are a good choice whether you use them part-time or as an auxiliary skill to improve work efficiency.
Through crawler technology, relevant content can be collected, analyzed and selected to get the information we really need.
This information collection, analysis and integration work can be applied to a very wide range of areas. Whether it is life services, travel, financial investment, product market demand of various manufacturing industries, etc., crawler technology can be used to obtain more accurate and effective information. use.
Python crawler video information
3. Data analysis
The "Digital Transformation of China's Economy: Talent and Employment" report released by Tsinghua University School of Economics and Management shows that the data analysis talent gap is expected to reach 2.3 million in 2025.
With such a huge talent gap, data analysis is like a vast blue ocean! Starting salary of 10K is really commonplace.
4. Database and ETL data warehouse
Enterprises need to regularly transfer cold data from the business database and store it in a warehouse dedicated to storing historical data. Each department can provide unified data services based on its own business characteristics. This warehouse is a data warehouse.
The traditional data warehouse integrated processing architecture is ETL. Using the capabilities of the ETL platform, E = extract data from the source database, L = clean the data (data that does not comply with the rules) and transform the table (perform different dimensions and granularity on the table according to business needs) degree, different business rules calculation and statistics), T=load the processed table to the data warehouse in increments, full quantities, and different times.
5. Machine Learning
Machine learning is to learn from a part of the computer data, and then predict and judge other data.
The core of machine learning is "using algorithms to parse data, learn from it, and then make decisions or predictions about new data." That is to say, the computer uses the data obtained to derive a certain model, and then uses this model to make predictions. This process is somewhat similar to the human learning process. For example, after a person acquires certain experience, he or she can predict new problems.
Machine learning materials:
6. Advanced Python
From basic syntax content to many in-depth advanced knowledge points and understanding of programming language design, after studying here, you will basically understand all the knowledge points from entry to advanced python.
At this point, you can basically meet the company's employment requirements. If you still don't know where to find interview materials and resume templates, I have compiled one here for you. It can really be said to be a systematic learning route for nannies and caregivers. .
But learning programming does not happen overnight, but requires long-term persistence and training. In organizing this learning route, I hope to make progress together with everyone, and I can also review some technical points myself. Whether you are a newbie in programming or an experienced programmer who needs to advance, I believe everyone can gain something from it.
It doesn’t happen overnight, but requires long-term persistence and training. In organizing this learning route, I hope to make progress together with everyone, and I can also review some technical points myself. Whether you are a newbie in programming or an experienced programmer who needs to advance, I believe everyone can gain something from it.
Data collection
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